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ORCIDSébastien Ourselin
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2020 – today
- 2025
[j190]Yang Liu
, Maxence Boels, Luis C. García-Peraza-Herrera, Tom Vercauteren, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin:
LoViT: Long Video Transformer for surgical phase recognition. Medical Image Anal. 99: 103366 (2025)- [j189]Jia Fu, Guotai Wang, Tao Lu, Qiang Yue, Tom Vercauteren, Sébastien Ourselin, Shaoting Zhang:
UM-CAM: Uncertainty-weighted multi-resolution class activation maps for weakly-supervised segmentation. Pattern Recognit. 160: 111204 (2025) - 2024
- [j188]Benjamin Murray, Richard Brown, Pengcheng Ma, Eric Kerfoot, Daguang Xu, Andrew Feng, Jorge Cardoso, Sébastien Ourselin, Marc Modat:
Lazy Resampling: Fast and information preserving preprocessing for deep learning. Comput. Methods Programs Biomed. 257: 108422 (2024) - [j187]Aaron Kujawa, Reuben Dorent, Steve Connor, Suki Thomson, Marina Ivory, Ali Vahedi, Emily Guilhem, Navodini Wijethilake, Robert Bradford, Neil Kitchen, Sotirios Bisdas, Sébastien Ourselin, Tom Vercauteren, Jonathan Shapey:
Deep learning for automatic segmentation of vestibular schwannoma: a retrospective study from multi-center routine MRI. Frontiers Comput. Neurosci. 18 (2024) - [j186]Martin Huber, Christopher E. Mower, Sébastien Ourselin, Tom Vercauteren, Christos Bergeles:
LBR-Stack: ROS 2 and Python Integration of KUKA FRI for Med and IIWA Robots. J. Open Source Softw. 9(104): 6138 (2024) - [j185]Hassna Irzan, Michael Hütel, Helen O'Reilly, Sébastien Ourselin, Neil Marlow, Andrew Melbourne:
Multi-source multi-modal markers for Bayesian Networks: Application to the extremely preterm born brain. Medical Image Anal. 92: 103037 (2024) - [j184]Pedro Borges, Richard Shaw, Thomas Varsavsky, Kerstin Kläser, David Thomas, Ivana Drobnjak, Sébastien Ourselin, M. Jorge Cardoso:
Acquisition-invariant brain MRI segmentation with informative uncertainties. Medical Image Anal. 92: 103058 (2024) - [j183]Andres Diaz-Pinto, Sachidanand Alle, Vishwesh Nath, Yucheng Tang, Alvin Ihsani, Muhammad Asad, Fernando Pérez-García, Pritesh Mehta, Wenqi Li, Mona Flores, Holger R. Roth, Tom Vercauteren, Daguang Xu, Prerna Dogra, Sébastien Ourselin, Andrew Feng, M. Jorge Cardoso:
MONAI Label: A framework for AI-assisted interactive labeling of 3D medical images. Medical Image Anal. 95: 103207 (2024) - [j182]Stephen H. Barlow, Sugama Chicklore, Yulan He, Sébastien Ourselin, Thomas Wagner, Anna Barnes, Gary J. R. Cook:
Uncertainty-aware automatic TNM staging classification for [18F] Fluorodeoxyglucose PET-CT reports for lung cancer utilising transformer-based language models and multi-task learning. BMC Medical Informatics Decis. Mak. 24(1): 396 (2024) - [j181]Petru-Daniel Tudosiu, Walter H. L. Pinaya, Pedro Ferreira Da Costa, Jessica Dafflon, Ashay Patel, Pedro Borges, Virginia Fernandez, Mark S. Graham, Robert J. Gray, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Realistic morphology-preserving generative modelling of the brain. Nat. Mac. Intell. 6(7): 811-819 (2024) - [j180]Lucas Fidon, Michael Aertsen, Florian Kofler, Andrea Bink, Anna L. David, Thomas Deprest, Doaa Emam, Frédéric Guffens, András Jakab, Gregor Kasprian, Patric Kienast, Andrew Melbourne, Bjoern H. Menze, Nada Mufti, Ivana Pogledic, Daniela Prayer, Marlene Stuempflen, Esther Van Elslander, Sébastien Ourselin, Jan Deprest, Tom Vercauteren:
A Dempster-Shafer Approach to Trustworthy AI With Application to Fetal Brain MRI Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3784-3795 (2024) - [j179]Mikel De Iturrate Reyzabal, Mingcong Chen, Wei Huang, Sébastien Ourselin, Hongbin Liu:
DaFoEs: Mixing Datasets Towards the Generalization of Vision-State Deep-Learning Force Estimation in Minimally Invasive Robotic Surgery. IEEE Robotics Autom. Lett. 9(3): 2527-2534 (2024) - [j178]Mostafa Mehdipour-Ghazi, Lauge Sørensen, Sébastien Ourselin, Mads Nielsen:
CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning From Sporadic Temporal Data. IEEE Trans. Neural Networks Learn. Syst. 35(1): 792-802 (2024) - [c335]Jiayu Huo, Ruiqiang Xiao, Haotian Zheng, Yang Liu, Sébastien Ourselin, Rachel Sparks:
MatchSeg: Towards Better Segmentation via Reference Image Matching. BIBM 2024: 2068-2073 - [c334]Zhen Chen, Xingjian Luo, Jinlin Wu, Danny T. M. Chan, Zhen Lei, Sébastien Ourselin, Hongbin Liu:
SurgFC: Multimodal Surgical Function Calling Framework on the Demand of Surgeons. BIBM 2024: 3076-3081 - [c333]Qingyao Tian, Huai Liao, Xinyan Huang, Jian Chen, Zihui Zhang, Bingyu Yang, Sébastien Ourselin, Hongbin Liu:
DD-VNB: A Depth-based Dual-Loop Framework for Real-time Visually Navigated Bronchoscopy. IROS 2024: 12979-12986 - [c332]Mahrukh Saeed, Julien Quarez, Hassna Irzan, Bava Kesavan, Matthew Elliot, Oscar MacCormac, James Knight, Sébastien Ourselin, Jonathan Shapey, Alejandro Granados:
Blood Harmonisation of Endoscopic Transsphenoidal Surgical Video Frames on Phantom Models. ISBI 2024: 1-4 - [c331]Benjamin Murray, Wei R. Tan, Liane S. Canas, Catherine H. Smith, Satveer K. Mahil, Sébastien Ourselin, Marc Modat:
A Vision Transformer with Adaptive Cross-Image and Cross-Resolution Attention. ISIC/iMIMIC/EARTH/DeCaF@MICCAI 2024: 35-44 - [c330]Pedro Borges, Virginia Fernandez, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Using MR Physics for Domain Generalisation and Super-Resolution. SASHIMI@MICCAI 2024: 177-186 - [c329]Julien Quarez, Yang Li, Hassna Irzan, Matthew Elliot, Oscar MacCormac, James Knigth, Martin Huber, Toktam Mahmoodi, Prokar Dasgupta, Sébastien Ourselin, Nicholas Raison, Jonathan Shapey, Alejandro Granados:
MUTUAL: Towards Holistic Sensing and Inference in the Operating Room. ISIC/iMIMIC/EARTH/DeCaF@MICCAI 2024: 178-188 - [c328]Aaron Kujawa, Reuben Dorent, Sébastien Ourselin, Tom Vercauteren:
Label Merge-and-Split: A Graph-Colouring Approach for Memory-Efficient Brain Parcellation. MICCAI (9) 2024: 350-360 - [c327]Ashay Patel, Mark S. Graham, Vicky Goh, Sébastien Ourselin, M. Jorge Cardoso:
Resolution and Field of View Invariant Generative Modelling with Latent Diffusion Models. MIDL 2024: 1086-1097 - [c326]Zhenyu Bu, Yang Liu, Jiayu Huo, Jingjing Peng, Kaini Wang, Guangquan Zhou, Rachel Sparks, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin:
DDSB: An Unsupervised and Training-Free Method for Phase Detection in Echocardiography. MLMI@MICCAI (1) 2024: 42-51 - [i157]Dimitrios Psychogyios, Emanuele Colleoni, Beatrice van Amsterdam, Chih-Yang Li, Shu-Yu Huang, Yuchong Li, Fucang Jia, Baosheng Zou, Guotai Wang, Yang Liu, Maxence Boels, Jiayu Huo, Rachel Sparks, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin, Mengya Xu, An Wang, Yanan Wu, Long Bai, Hongliang Ren, Atsushi Yamada, Yuriko Harai, Yuto Ishikawa, Kazuyuki Hayashi, Jente Simoens, Pieter DeBacker, Francesco Cisternino, Gabriele Furnari, Alex Mottrie, Federica Ferraguti, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Soohee Kim, Seung Hyun Lee, Kyu Eun Lee, Hyoun-Joong Kong, Kui Fu, Chao Li, Shan An, Stefanie Krell, Sebastian Bodenstedt, Nicolás Ayobi, Alejandra Pérez, Santiago Rodríguez, Juanita Puentes, Pablo Arbeláez, Omid Mohareri, Danail Stoyanov:
SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge. CoRR abs/2401.00496 (2024) - [i156]Mikel De Iturrate Reyzabal, Mingcong Chen, Wei Huang, Sébastien Ourselin, Hongbin Liu:
DaFoEs: Mixing Datasets towards the generalization of vision-state deep-learning Force Estimation in Minimally Invasive Robotic Surgery. CoRR abs/2401.09239 (2024) - [i155]Yang Liu, Xiaomin Yu, Gongyu Zhang, Christos Bergeles, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin:
ArcSin: Adaptive ranged cosine Similarity injected noise for Language-Driven Visual Tasks. CoRR abs/2402.17298 (2024) - [i154]Qingyao Tian, Huai Liao, Xinyan Huang, Jian Chen, Zihui Zhang, Bingyu Yang, Sébastien Ourselin, Hongbin Liu:
DD-VNB: A Depth-based Dual-Loop Framework for Real-time Visually Navigated Bronchoscopy. CoRR abs/2403.01683 (2024) - [i153]Maxence Boels, Yang Liu, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin:
SuPRA: Surgical Phase Recognition and Anticipation for Intra-Operative Planning. CoRR abs/2403.06200 (2024) - [i152]Peiran Wu, Yang Liu, Jiayu Huo, Gongyu Zhang, Christos Bergeles, Rachel Sparks, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin:
Rethinking Low-quality Optical Flow in Unsupervised Surgical Instrument Segmentation. CoRR abs/2403.10039 (2024) - [i151]Zhenyu Bu, Yang Liu, Jiayu Huo, Jingjing Peng, Kaini Wang, Guangquan Zhou, Rachel Sparks, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin:
DDSB: An Unsupervised and Training-free Method for Phase Detection in Echocardiography. CoRR abs/2403.12787 (2024) - [i150]Ze Chen, Gongyu Zhang, Jiayu Huo, Joan M. Nunez Do Rio, Charalampos Komninos, Yang Liu, Rachel Sparks, Sébastien Ourselin, Christos Bergeles, Timothy Jackson:
RetiGen: A Framework for Generalized Retinal Diagnosis Using Multi-View Fundus Images. CoRR abs/2403.15647 (2024) - [i149]Ruiqiang Xiao, Jiayu Huo, Haotian Zheng, Yang Liu, Sébastien Ourselin, Rachel Sparks:
MatchSeg: Towards Better Segmentation via Reference Image Matching. CoRR abs/2403.15901 (2024) - [i148]Jiayu Huo, Xi Ouyang, Sébastien Ourselin, Rachel Sparks:
Generative Medical Segmentation. CoRR abs/2403.18198 (2024) - [i147]Ezequiel de la Rosa, Mauricio Reyes, Sook-Lei Liew, Alexandre Hutton, Roland Wiest, Johannes Kaesmacher, Uta Hanning, Arsany Hakim, Richard Zubal, Waldo Valenzuela, David Robben, Diana Maria Sima, Vincenzo Anania, Arne Brys, James A. Meakin, Anne Mickan, Gabriel Broocks, Christian Heitkamp, Shengbo Gao, Kongming Liang, Ziji Zhang, Md Mahfuzur Rahman Siddiquee, Andriy Myronenko, Pooya Ashtari, Sabine Van Huffel, Hyun-su Jeong, Chiho Yoon, Chulhong Kim, Jiayu Huo, Sébastien Ourselin, Rachel Sparks, Albert Clèrigues, Arnau Oliver, Xavier Lladó, Liam F. Chalcroft, Ioannis Pappas, Jeroen Bertels, Ewout Heylen, Juliette Moreau, Nima Hatami, Carole Frindel, Abdul Qayyum, Moona Mazher, Domenec Puig, Shao-Chieh Lin, Chun-Jung Juan, Tianxi Hu, Lyndon Boone, Maged Goubran, Yi-Jui Liu, Susanne Wegener, Florian Kofler, Ivan Ezhov, Suprosanna Shit, Moritz Roman Hernandez Petzsche, Bjoern H. Menze, Jan S. Kirschke, Benedikt Wiestler:
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge. CoRR abs/2403.19425 (2024) - [i146]Chayanin Tangwiriyasakul, Pedro Borges, Stefano Moriconi, Paul Wright, Yee H. Mah, James T. Teo, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Framework to generate perfusion map from CT and CTA images in patients with acute ischemic stroke: A longitudinal and cross-sectional study. CoRR abs/2404.04025 (2024) - [i145]Aaron Kujawa, Reuben Dorent, Sébastien Ourselin, Tom Vercauteren:
Label merge-and-split: A graph-colouring approach for memory-efficient brain parcellation. CoRR abs/2404.10572 (2024) - [i144]David A. Wood, Emily Guilhem, Sina Kafiabadi, Ayisha Al Busaidi, Kishan Dissanayake, Ahmed Hammam, Nina Mansoor, Matthew Townend, Siddharth Agarwal, Yiran Wei, Asif Mazumder, Gareth J. Barker, Peter Sasieni, Sébastien Ourselin, James H. Cole, Thomas C. Booth:
A self-supervised text-vision framework for automated brain abnormality detection. CoRR abs/2405.02782 (2024) - [i143]Harry Robertshaw, Lennart Karstensen, Benjamin Jackson, S. M. Hadi Sadati, Kawal S. Rhode, Sébastien Ourselin, Alejandro Granados, Thomas C. Booth:
Artificial Intelligence in the Autonomous Navigation of Endovascular Interventions: A Systematic Review. CoRR abs/2405.03305 (2024) - [i142]Zhen Chen, Xingjian Luo, Jinlin Wu, Danny T. M. Chan, Zhen Lei, Jinqiao Wang, Sébastien Ourselin, Hongbin Liu:
VS-Assistant: Versatile Surgery Assistant on the Demand of Surgeons. CoRR abs/2405.08272 (2024) - [i141]Jiayu Huo, Sébastien Ourselin, Rachel Sparks:
Self-supervised Brain Lesion Generation for Effective Data Augmentation of Medical Images. CoRR abs/2406.14826 (2024) - [i140]Mikel De Iturrate Reyzabal, Dionysios Malas, Shuai Wang, Sébastien Ourselin, Hongbin Liu:
SurgeMOD: Translating image-space tissue motions into vision-based surgical forces. CoRR abs/2406.17707 (2024) - [i139]Julien Quarez, Matthew Elliot, Oscar MacCormac, Nawal Khan, Marc Modat, Sébastien Ourselin, Jonathan Shapey, Alejandro Granados:
R-Trans - A Recurrent Transformer Model for Clinical Feedback in Surgical Skill Assessment. CoRR abs/2407.05180 (2024) - [i138]Qingyao Tian, Zhen Chen, Huai Liao, Xinyan Huang, Lujie Li, Sébastien Ourselin, Hongbin Liu:
EndoOmni: Zero-Shot Cross-Dataset Depth Estimation in Endoscopy by Robust Self-Learning from Noisy Labels. CoRR abs/2409.05442 (2024) - [i137]Zhen Chen, Xingjian Luo, Jinlin Wu, Long Bai, Zhen Lei, Hongliang Ren, Sébastien Ourselin, Hongbin Liu:
SurgPLAN++: Universal Surgical Phase Localization Network for Online and Offline Inference. CoRR abs/2409.12467 (2024) - [i136]Jiayu Huo, Sébastien Ourselin, Rachel Sparks:
SAM-I2I: Unleash the Power of Segment Anything Model for Medical Image Translation. CoRR abs/2411.12755 (2024) - [i135]Francesco Cremonesi, Lucia Innocenti, Sébastien Ourselin, Vicky Goh, Michela Antonelli, Marco Lorenzi:
A cautionary tale on the cost-effectiveness of collaborative AI in real-world medical applications. CoRR abs/2412.06494 (2024) - [i134]Maxence Boels, Yang Liu, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin:
SWAG: Long-term Surgical Workflow Prediction with Generative-based Anticipation. CoRR abs/2412.18849 (2024) - 2023
- [j177]Mirza Awais Ahmad, Mouloud Ourak, Dirk Wenmakers, Ignacio Valenzuela, David Basurto, Sébastien Ourselin, Tom Vercauteren, Jan Deprest, Emmanuel B. Vander Poorten:
Development and validation of a flexible fetoscope for fetoscopic laser coagulation. Int. J. Comput. Assist. Radiol. Surg. 18(9): 1603-1611 (2023) - [j176]Charlie Budd, Luis C. García-Peraza-Herrera, Martin Huber, Sébastien Ourselin, Tom Vercauteren:
Rapid and robust endoscopic content area estimation: a lean GPU-based pipeline and curated benchmark dataset. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(4): 1215-1224 (2023) - [j175]Luis C. García-Peraza-Herrera, Conor C. Horgan, Sébastien Ourselin, Michael Ebner, Tom Vercauteren:
Hyperspectral image segmentation: a preliminary study on the Oral and Dental Spectral Image Database (ODSI-DB). Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(4): 1290-1298 (2023) - [j174]Jianghao Wu, Dong Guo, Lu Wang, Shuojue Yang, Yuanjie Zheng, Jonathan Shapey, Tom Vercauteren, Sotirios Bisdas, Robert Bradford, Shakeel R. Saeed, Neil Kitchen, Sébastien Ourselin, Shaoting Zhang, Guotai Wang:
TISS-net: Brain tumor image synthesis and segmentation using cascaded dual-task networks and error-prediction consistency. Neurocomputing 544: 126295 (2023) - [j173]Reuben Dorent, Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard, Ben Glocker, M. Jorge Cardoso, Marc Modat, Kayhan Batmanghelich, Arseniy Belkov, Maria G. Baldeon Calisto, Jae Won Choi, Benoit M. Dawant, Hexin Dong, Sergio Escalera, Yubo Fan, Lasse Hansen, Mattias P. Heinrich, Smriti Joshi, Victoriya Kashtanova, Hyeongyu Kim, Satoshi Kondo, Christian N. Kruse, Susana K. Lai-Yuen, Hao Li, Han Liu, Buntheng Ly, Ipek Oguz, Hyungseob Shin, Boris Shirokikh, Zixian Su, Guotai Wang, Jianghao Wu, Yanwu Xu, Kai Yao, Li Zhang, Sébastien Ourselin, Jonathan Shapey, Tom Vercauteren:
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation. Medical Image Anal. 83: 102628 (2023) - [j172]Guilherme Pombo, Robert J. Gray, M. Jorge Cardoso, Sébastien Ourselin, Geraint Rees, John Ashburner, Parashkev Nachev:
Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models. Medical Image Anal. 84: 102723 (2023) - [j171]Mark S. Graham, Petru-Daniel Tudosiu, Paul Wright, Walter Hugo Lopez Pinaya, Petteri Teikari, Ashay Patel, Jean-Marie U.-King-Im, Yee H. Mah, James T. Teo, Hans Rolf Jäger, David Werring, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Latent Transformer Models for out-of-distribution detection. Medical Image Anal. 90: 102967 (2023) - [j170]Jieqing Jiao, Fiona Heeman, Rachael Dixon, Catriona Wimberley, Isadora Lopes Alves, Juan Domingo Gispert, Adriaan A. Lammertsma, Bart N. M. van Berckel, Casper O. da Costa-Luis, Pawel Markiewicz, David M. Cash, M. Jorge Cardoso, Sébastien Ourselin, Maqsood Yaqub, Frederik Barkhof:
NiftyPAD - Novel Python Package for Quantitative Analysis of Dynamic PET Data. Neuroinformatics 21(2): 457-468 (2023) - [j169]Zicong Wu, Mikel De Iturrate Reyzabal, S. M. Hadi Sadati, Hongbin Liu, Sébastien Ourselin, Daniel Richard Leff, Robert K. Katzschmann, Kawal S. Rhode, Christos Bergeles:
Towards a Physics-Based Model for Steerable Eversion Growing Robots. IEEE Robotics Autom. Lett. 8(2): 1005-1012 (2023) - [j168]Jianghao Wu, Guotai Wang, Ran Gu, Tao Lu, Yinan Chen, Wentao Zhu, Tom Vercauteren, Sébastien Ourselin, Shaoting Zhang:
UPL-SFDA: Uncertainty-Aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation. IEEE Trans. Medical Imaging 42(12): 3932-3943 (2023) - [c325]Chayanin Tangwiriyasakul, Pedro Borges, Stefano Moriconi, Paul Wright, Yee-Haur Mah, James T. Teo, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Framework to Generate Perfusion Map from CT and CTA Images in Patients with Acute Ischemic Stroke: A Longitudinal and Cross-Sectional Study. BrainLes/SWITCH@MICCAI 2023: 154-162 - [c324]Mark S. Graham, Walter H. L. Pinaya, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Denoising diffusion models for out-of-distribution detection. CVPR Workshops 2023: 2948-2957 - [c323]Yang Liu, Jiayu Huo, Jingjing Peng, Rachel Sparks, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin:
SKiT: a Fast Key Information Video Transformer for Online Surgical Phase Recognition. ICCV 2023: 21017-21027 - [c322]Ashay Patel, Petru-Daniel Tudosiu, Walter H. L. Pinaya, Mark S. Graham, Olusola Adeleke, Gary J. Cook, Vicky Goh, Sébastien Ourselin, M. Jorge Cardoso:
Self-Supervised Anomaly Detection from Anomalous Training Data via Iterative Latent Token Masking. ICCV (Workshops) 2023: 2394-2402 - [c321]Jiayu Huo, Chih-Yang Li, Alejandro Granados, Sébastien Ourselin, Rachel Sparks:
Unleash the Power of 2D Pre-trained Model for 3D T1-weighted Brain MRI Inpainting. BraTS/CrossMoDA@MICCAI 2023: 3-10 - [c320]Pedro Borges, Virginia Fernandez, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Unsupervised Heteromodal Physics-Informed Representation of MRI Data: Tackling Data Harmonisation, Imputation and Domain Shift. SASHIMI@MICCAI 2023: 53-63 - [c319]Joanna Chappell, Magdalena J. Sokolska, Rosalind Aughwane, Alys R. Clark, Sébastien Ourselin, Anna L. David, Andrew Melbourne:
Visualization and Quantification of Placental Vasculature Using MRI. PIPPI@MICCAI 2023: 88-97 - [c318]Martin Huber, Sébastien Ourselin, Christos Bergeles, Tom Vercauteren:
Deep Homography Prediction for Endoscopic Camera Motion Imitation Learning. MICCAI (9) 2023: 217-226 - [c317]Ashay Patel, Petru-Daniel Tudosiu, Walter Hugo Lopez Pinaya, Olusola Adeleke, Gary J. Cook, Vicky Goh, Sébastien Ourselin, M. Jorge Cardoso:
Geometry-Invariant Abnormality Detection. MICCAI (1) 2023: 300-309 - [c316]Yann Fraboni, Lucia Innocenti, Michela Antonelli, Richard Vidal, Laetitia Kameni, Sébastien Ourselin, Marco Lorenzi:
Validation of Federated Unlearning on Collaborative Prostate Segmentation. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 322-333 - [c315]Kelly Payette, Alena Uus, Jordina Aviles Verdera, Carla Avena Zampieri, Megan Hall, Lisa Story, Maria Deprez, Mary A. Rutherford, Joseph V. Hajnal, Sébastien Ourselin, Raphaël Tomi-Tricot, Jana Hutter:
An Automated Pipeline for Quantitative T2* Fetal Body MRI and Segmentation at Low Field. MICCAI (7) 2023: 358-367 - [c314]Mark S. Graham, Walter Hugo Lopez Pinaya, Paul Wright, Petru-Daniel Tudosiu, Yee H. Mah, James T. Teo, Hans Rolf Jäger, David Werring, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Unsupervised 3D Out-of-Distribution Detection with Latent Diffusion Models. MICCAI (1) 2023: 446-456 - [c313]Reuben Dorent, Nazim Haouchine, Fryderyk Victor Kögl, Samuel Joutard, Parikshit Juvekar, Erickson Torio, Alexandra J. Golby, Sébastien Ourselin, Sarah F. Frisken, Tom Vercauteren, Tina Kapur, William M. Wells III:
Unified Brain MR-Ultrasound Synthesis Using Multi-modal Hierarchical Representations. MICCAI (10) 2023: 448-458 - [c312]Dominic Giles, Robert J. Gray, Chris Foulon, Guilherme Pombo, Tianbo Xu, James K. Ruffle, Hans Rolf Jäger, Manuel Jorge Cardoso, Sébastien Ourselin, Geraint Rees, Ashwani Jha, Parashkev Nachev:
InterSynth: A Semi-Synthetic Framework for Benchmarking Prescriptive Inference from Observational Data. ML4MHD 2023: 172-188 - [c311]Jiayu Huo, Yang Liu, Xi Ouyang, Alejandro Granados, Sébastien Ourselin, Rachel Sparks:
ARHNet: Adaptive Region Harmonization for Lesion-Aware Augmentation to Improve Segmentation Performance. MLMI@MICCAI (2) 2023: 377-386 - [c310]Lucia Innocenti, Michela Antonelli, Francesco Cremonesi, Kenaan Sarhan, Alejandro Granados, Vicky Goh, Sébastien Ourselin, Marco Lorenzi:
Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation. PKDD/ECML Workshops (4) 2023: 59-72 - [i133]Luis C. García-Peraza-Herrera, Conor C. Horgan, Sébastien Ourselin, Michael Ebner, Tom Vercauteren:
Hyperspectral Image Segmentation: A Preliminary Study on the Oral and Dental Spectral Image Database (ODSI-DB). CoRR abs/2303.08252 (2023) - [i132]Luis C. García-Peraza-Herrera, Sébastien Ourselin, Tom Vercauteren:
VideoSum: A Python Library for Surgical Video Summarization. CoRR abs/2303.10173 (2023) - [i131]Ashay Patel, Petru-Daniel Tudosiu, Walter H. L. Pinaya, Gary J. Cook, Vicky Goh, Sébastien Ourselin, M. Jorge Cardoso:
Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection. CoRR abs/2304.07147 (2023) - [i130]Yang Liu, Maxence Boels, Luis C. García-Peraza-Herrera, Tom Vercauteren, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin:
LoViT: Long Video Transformer for Surgical Phase Recognition. CoRR abs/2305.08989 (2023) - [i129]Andres Diaz-Pinto, Pritesh Mehta, Sachidanand Alle, Muhammad Asad, Richard Brown, Vishwesh Nath, Alvin Ihsani, Michela Antonelli, Daniel Palkovics, Csaba Pinter, Ron Alkalay, Steve Pieper, Holger R. Roth, Daguang Xu, Prerna Dogra, Tom Vercauteren, Andrew Feng, Abood Quraini, Sébastien Ourselin, M. Jorge Cardoso:
DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images. CoRR abs/2305.10655 (2023) - [i128]Jiayu Huo, Yang Liu, Xi Ouyang, Alejandro Granados, Sébastien Ourselin, Rachel Sparks:
ARHNet: Adaptive Region Harmonization for Lesion-aware Augmentation to Improve Segmentation Performance. CoRR abs/2307.01220 (2023) - [i127]Mark S. Graham, Walter Hugo Lopez Pinaya, Paul Wright, Petru-Daniel Tudosiu, Yee H. Mah, James T. Teo, Hans Rolf Jäger, David Werring, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Unsupervised 3D out-of-distribution detection with latent diffusion models. CoRR abs/2307.03777 (2023) - [i126]Walter H. L. Pinaya, Mark S. Graham, Eric Kerfoot, Petru-Daniel Tudosiu, Jessica Dafflon, Virginia Fernandez, Pedro Sanchez, Julia Wolleb, Pedro F. Da Costa, Ashay Patel, Hyungjin Chung, Can Zhao, Wei Peng, Zelong Liu, XueYan Mei, Oeslle Lucena, Jong Chul Ye, Sotirios A. Tsaftaris, Prerna Dogra, Andrew Feng, Marc Modat, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Generative AI for Medical Imaging: extending the MONAI Framework. CoRR abs/2307.15208 (2023) - [i125]Reuben Dorent, Nazim Haouchine, Fryderyk Victor Kögl, Samuel Joutard, Parikshit Juvekar, Erickson Torio, Alexandra J. Golby, Sébastien Ourselin, Sarah F. Frisken, Tom Vercauteren, Tina Kapur, William M. Wells III:
Unified Brain MR-Ultrasound Synthesis using Multi-Modal Hierarchical Representations. CoRR abs/2309.08747 (2023) - [i124]Jianghao Wu, Guotai Wang, Ran Gu, Tao Lu, Yinan Chen, Wentao Zhu, Tom Vercauteren, Sébastien Ourselin, Shaoting Zhang:
UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation. CoRR abs/2309.10244 (2023) - [i123]Lucia Innocenti, Michela Antonelli, Francesco Cremonesi, Kenaan Sarhan, Alejandro Granados, Vicky Goh, Sébastien Ourselin, Marco Lorenzi:
Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation. CoRR abs/2309.17097 (2023) - [i122]Martin Huber, Christopher E. Mower, Sébastien Ourselin, Tom Vercauteren, Christos Bergeles:
LBR-Stack: ROS 2 and Python Integration of KUKA FRI for Med and IIWA Robots. CoRR abs/2311.12709 (2023) - [i121]M. Jorge Cardoso, Julia Moosbauer, Tessa Sundaram Cook, Barbaros Selnur Erdal, Brad W. Genereaux, Vikash Gupta, Bennett A. Landman, Tiarna Lee, Parashkev Nachev, Elanchezhian Somasundaram, Ronald M. Summers, Khaled Younis, Sébastien Ourselin, Franz Pfister:
RAISE - Radiology AI Safety, an End-to-end lifecycle approach. CoRR abs/2311.14570 (2023) - 2022
- [j167]Charalampos Komninos, Theodoros Pissas, Lina Mekki, Blanca Flores, Edward Bloch, Tom Vercauteren, Sébastien Ourselin, Lyndon Da Cruz, Christos Bergeles:
Surgical biomicroscopy-guided intra-operative optical coherence tomography (iOCT) image super-resolution. Int. J. Comput. Assist. Radiol. Surg. 17(5): 877-883 (2022) - [j166]Martin Huber, Sébastien Ourselin, Christos Bergeles, Tom Vercauteren:
Deep homography estimation in dynamic surgical scenes for laparoscopic camera motion extraction. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 10(3): 321-329 (2022) - [j165]Peichao Li, Michael Ebner, Philip J. Noonan, Conor C. Horgan, Anisha Bahl, Sébastien Ourselin, Jonathan Shapey, Tom Vercauteren:
Deep learning approach for hyperspectral image demosaicking, spectral correction and high-resolution RGB reconstruction. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 10(4): 409-417 (2022) - [j164]Fernando Pérez-García, Ali Alim-Marvasti, Gloria Romagnoli, Matthew J. Clarkson, Rachel Sparks, John S. Duncan, Sébastien Ourselin:
Software tool for visualization of a probabilistic map of the epileptogenic zone from seizure semiologies. Frontiers Neuroinformatics 16 (2022) - [j163]Caspar Gruijthuijsen, Luis C. García-Peraza-Herrera, Gianni Borghesan, Dominiek Reynaerts, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Emmanuel B. Vander Poorten:
Robotic Endoscope Control Via Autonomous Instrument Tracking. Frontiers Robotics AI 9: 832208 (2022) - [j162]David A. Wood, Sina Kafiabadi, Ayisha Al Busaidi, Emily Guilhem, Antanas Montvila, Jeremy Lynch, Matthew Townend, Siddharth Agarwal, Asif Mazumder, Gareth J. Barker, Sébastien Ourselin, James H. Cole, Thomas C. Booth:
Deep learning models for triaging hospital head MRI examinations. Medical Image Anal. 78: 102391 (2022) - [j161]Walter H. L. Pinaya, Petru-Daniel Tudosiu, Robert J. Gray, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Unsupervised brain imaging 3D anomaly detection and segmentation with transformers. Medical Image Anal. 79: 102475 (2022) - [j160]David A. Wood, Sina Kafiabadi, Ayisha Al Busaidi, Emily Guilhem, Antanas Montvila, Jeremy Lynch, Matthew Townend, Siddharth Agarwal, Asif Mazumder, Gareth J. Barker, Sébastien Ourselin, James H. Cole, Thomas C. Booth:
Accurate brain-age models for routine clinical MRI examinations. NeuroImage 249: 118871 (2022) - [j159]Daniel Sobotka, Michael Ebner, Ernst Schwartz, Karl-Heinz Nenning, Athena Taymourtash, Tom Vercauteren, Sébastien Ourselin, Gregor Kasprian, Daniela Prayer, Georg Langs, Roxane Licandro:
Motion correction and volumetric reconstruction for fetal functional magnetic resonance imaging data. NeuroImage 255: 119213 (2022) - [j158]Amy P. K. Nelson, Robert J. Gray, James K. Ruffle, Henry C. Watkins, Daniel Herron, Nick Sorros, Danil Mikhailov, M. Jorge Cardoso, Sébastien Ourselin, Nick McNally, Bryan Williams, Geraint E. Rees, Parashkev Nachev:
Deep forecasting of translational impact in medical research. Patterns 3(5): 100483 (2022) - [j157]Christian Baker, Miguel Xochicale, Fang-Yu Lin, Sunish Mathews, Francois Joubert, Dzhoshkun I. Shakir, Richard Miles, Charles A. Mosse, Tianrui Zhao, Weidong Liang, Yada Kunpalin, Brian Dromey, Talisa Mistry, Neil J. Sebire, Edward Zhang, Sébastien Ourselin, Paul C. Beard, Anna L. David, Adrien E. Desjardins, Tom Vercauteren, Wenfeng Xia:
Intraoperative Needle Tip Tracking with an Integrated Fibre-Optic Ultrasound Sensor. Sensors 22(23): 9035 (2022) - [c309]Andres Diaz-Pinto, Pritesh Mehta, Sachidanand Alle, Muhammad Asad, Richard Brown, Vishwesh Nath, Alvin Ihsani, Michela Antonelli, Daniel Palkovics, Csaba Pinter, Ron Alkalay, Steve Pieper, Holger R. Roth, Daguang Xu, Prerna Dogra, Tom Vercauteren, Andrew Feng, Abood Quraini, Sébastien Ourselin, M. Jorge Cardoso:
DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images. DALI@MICCAI 2022: 11-21 - [c308]Ashay Patel, Petru-Daniel Tudosiu, Walter Hugo Lopez Pinaya, Gary J. Cook, Vicky Goh, Sébastien Ourselin, M. Jorge Cardoso:
Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection. DGM4MICCAI@MICCAI 2022: 14-23 - [c307]Petru-Daniel Tudosiu, Walter Hugo Lopez Pinaya, Mark S. Graham, Pedro Borges, Virginia Fernandez, Dai Yang, Jeremy Appleyard, Guido Novati, Disha Mehra, Mike Vella, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Morphology-Preserving Autoregressive 3D Generative Modelling of the Brain. SASHIMI@MICCAI 2022: 66-78 - [c306]Jiayu Huo, Vejay Vakharia, Chengyuan Wu, Ashwini Sharan, Andrew Ko, Sébastien Ourselin, Rachel Sparks:
Brain Lesion Synthesis via Progressive Adversarial Variational Auto-Encoder. SASHIMI@MICCAI 2022: 101-111 - [c305]Charalampos Komninos, Theodoros Pissas, Blanca Flores, Edward Bloch, Tom Vercauteren, Sébastien Ourselin, Lyndon Da Cruz, Christos Bergeles:
Intra-operative OCT (iOCT) Super Resolution: A Two-Stage Methodology Leveraging High Quality Pre-operative OCT Scans. OMIA@MICCAI 2022: 105-114 - [c304]Walter H. L. Pinaya, Petru-Daniel Tudosiu, Jessica Dafflon, Pedro F. Da Costa, Virginia Fernandez, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Brain Imaging Generation with Latent Diffusion Models. DGM4MICCAI@MICCAI 2022: 117-126 - [c303]Samuel Joutard, Reuben Dorent, Sébastien Ourselin, Tom Vercauteren, Marc Modat:
Driving Points Prediction for Abdominal Probabilistic Registration. MLMI@MICCAI 2022: 288-297 - [c302]Walter H. L. Pinaya, Mark S. Graham, Robert J. Gray, Pedro F. Da Costa, Petru-Daniel Tudosiu, Paul Wright, Yee H. Mah, Andrew D. MacKinnon, James T. Teo, Hans Rolf Jäger, David Werring, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models. MICCAI (8) 2022: 705-714 - [c301]Mark S. Graham, Petru-Daniel Tudosiu, Paul Wright, Walter Hugo Lopez Pinaya, Jean-Marie U.-King-Im, Yee H. Mah, James T. Teo, Hans Rolf Jäger, David Werring, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Transformer-based out-of-distribution detection for clinically safe segmentation. MIDL 2022: 457-476 - [c300]Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Fitting Segmentation Networks on Varying Image Resolutions Using Splatting. MIUA 2022: 271-282 - [d1]Robert J. Gray, Matthew Graham, M. Jorge Cardoso, Sébastien Ourselin, Geraint Rees, Parashkev Nachev:
3d_very_deep_vae. Zenodo, 2022
- [i120]Reuben Dorent, Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard, Ben Glocker, Jorge Cardoso, Marc Modat, Kayhan Batmanghelich, Arseniy Belkov, Maria G. Baldeon Calisto, Jae Won Choi, Benoit M. Dawant, Hexin Dong, Sergio Escalera, Yubo Fan, Lasse Hansen, Mattias P. Heinrich, Smriti Joshi, Victoriya Kashtanova, Hyeongyu Kim, Satoshi Kondo, Christian N. Kruse, Susana K. Lai-Yuen, Hao Li, Han Liu, Buntheng Ly, Ipek Oguz, Hyungseob Shin, Boris Shirokikh, Zixian Su, Guotai Wang, Jianghao Wu, Yanwu Xu, Kai Yao, Li Zhang, Sébastien Ourselin, Jonathan Shapey, Tom Vercauteren:
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation. CoRR abs/2201.02831 (2022) - [i119]Daniel Sobotka, Michael Ebner, Ernst Schwartz, Karl-Heinz Nenning, Athena Taymourtash, Tom Vercauteren, Sébastien Ourselin, Gregor Kasprian, Daniela Prayer, Georg Langs, Roxane Licandro:
Motion Correction and Volumetric Reconstruction for Fetal Functional Magnetic Resonance Imaging Data. CoRR abs/2202.05863 (2022) - [i118]Mauricio Orbes-Arteaga, Thomas Varsavsky, Lauge Sørensen, Mads Nielsen, Akshay Pai, Sébastien Ourselin, Marc Modat, M. Jorge Cardoso:
Augmentation based unsupervised domain adaptation. CoRR abs/2202.11486 (2022) - [i117]Andres Diaz-Pinto, Sachidanand Alle, Alvin Ihsani, Muhammad Asad, Vishwesh Nath, Fernando Pérez-García, Pritesh Mehta, Wenqi Li, Holger R. Roth, Tom Vercauteren, Daguang Xu, Prerna Dogra, Sébastien Ourselin, Andrew Feng, M. Jorge Cardoso:
MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images. CoRR abs/2203.12362 (2022) - [i116]Lucas Fidon, Michael Aertsen, Florian Kofler, Andrea Bink, Anna L. David, Thomas Deprest, Doaa Emam, Frédéric Guffens, András Jakab, Gregor Kasprian, Patric Kienast, Andrew Melbourne, Bjoern H. Menze, Nada Mufti, Ivana Pogledic, Daniela Prayer, Marlene Stuempflen, Esther Van Elslander, Sébastien Ourselin, Jan Deprest, Tom Vercauteren:
A Dempster-Shafer approach to trustworthy AI with application to fetal brain MRI segmentation. CoRR abs/2204.02779 (2022) - [i115]Mark S. Graham, Petru-Daniel Tudosiu, Paul Wright, Walter Hugo Lopez Pinaya, Jean-Marie U.-King-Im, Yee H. Mah, James T. Teo, Hans Rolf Jäger, David Werring, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Transformer-based out-of-distribution detection for clinically safe segmentation. CoRR abs/2205.10650 (2022) - [i114]Walter H. L. Pinaya, Mark S. Graham, Robert J. Gray, Pedro F. Da Costa, Petru-Daniel Tudosiu, Paul Wright, Yee H. Mah, Andrew D. MacKinnon, James T. Teo, Hans Rolf Jäger, David Werring, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models. CoRR abs/2206.03461 (2022) - [i113]Stefano Moriconi, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Solid NURBS Conforming Scaffolding for Isogeometric Analysis. CoRR abs/2206.04421 (2022) - [i112]Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Fitting Segmentation Networks on Varying Image Resolutions using Splatting. CoRR abs/2206.06445 (2022) - [i111]Jiayu Huo, Vejay Vakharia, Chengyuan Wu, Ashwini Sharan, Andrew Ko, Sébastien Ourselin, Rachel Sparks:
Brain Lesion Synthesis via Progressive Adversarial Variational Auto-Encoder. CoRR abs/2208.03203 (2022) - [i110]Samuel Joutard, Reuben Dorent, Sébastien Ourselin, Tom Vercauteren, Marc Modat:
Driving Points Prediction For Abdominal Probabilistic Registration. CoRR abs/2208.03232 (2022) - [i109]Petru-Daniel Tudosiu, Walter Hugo Lopez Pinaya, Mark S. Graham, Pedro Borges, Virginia Fernandez, Dai Yang, Jeremy Appleyard, Guido Novati, Disha Mehra, Mike Vella, Parashkev Nachev, Sébastien Ourselin, Jorge Cardoso:
Morphology-preserving Autoregressive 3D Generative Modelling of the Brain. CoRR abs/2209.03177 (2022) - [i108]Walter H. L. Pinaya, Petru-Daniel Tudosiu, Jessica Dafflon, Pedro F. Da Costa, Virginia Fernandez, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Brain Imaging Generation with Latent Diffusion Models. CoRR abs/2209.07162 (2022) - [i107]Charlie Budd, Luis C. García-Peraza-Herrera, Martin Huber, Sébastien Ourselin, Tom Vercauteren:
Rapid and robust endoscopic content area estimation: A lean GPU-based pipeline and curated benchmark dataset. CoRR abs/2210.14771 (2022) - [i106]Aya Mutaz Zeidan, Paula Ramirez Gilliland, Ashay Patel, Zhanchong Ou, Dimitra Flouri, Nada Mufti, Kasia Maksym, Rosalind Aughwane, Sébastien Ourselin, Anna L. David, Andrew Melbourne:
PIPPI2021: An Approach to Automated Diagnosis and Texture Analysis of the Fetal Liver & Placenta in Fetal Growth Restriction. CoRR abs/2211.02639 (2022) - [i105]M. Jorge Cardoso, Wenqi Li, Richard Brown, Nic Ma, Eric Kerfoot, Yiheng Wang, Benjamin Murray, Andriy Myronenko, Can Zhao, Dong Yang, Vishwesh Nath, Yufan He, Ziyue Xu, Ali Hatamizadeh, Wentao Zhu, Yun Liu, Mingxin Zheng, Yucheng Tang, Isaac Yang, Michael Zephyr, Behrooz Hashemian, Sachidanand Alle, Mohammad Zalbagi Darestani, Charlie Budd, Marc Modat, Tom Vercauteren, Guotai Wang, Yiwen Li, Yipeng Hu, Yunguan Fu, Benjamin Gorman, Hans J. Johnson, Brad W. Genereaux, Barbaros S. Erdal, Vikash Gupta, Andres Diaz-Pinto, Andre Dourson, Lena Maier-Hein, Paul F. Jaeger, Michael Baumgartner, Jayashree Kalpathy-Cramer, Mona Flores, Justin S. Kirby, Lee A. D. Cooper, Holger R. Roth, Daguang Xu, David Bericat, Ralf Floca, S. Kevin Zhou, Haris Shuaib, Keyvan Farahani, Klaus H. Maier-Hein, Stephen R. Aylward, Prerna Dogra, Sébastien Ourselin, Andrew Feng:
MONAI: An open-source framework for deep learning in healthcare. CoRR abs/2211.02701 (2022) - [i104]Mark S. Graham, Walter H. L. Pinaya, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Denoising Diffusion Models for Out-of-Distribution Detection. CoRR abs/2211.07740 (2022) - [i103]Jiayu Huo, Liyun Chen, Yang Liu, Maxence Boels, Alejandro Granados, Sébastien Ourselin, Rachel Sparks:
MAPPING: Model Average with Post-processing for Stroke Lesion Segmentation. CoRR abs/2211.15486 (2022) - [i102]Vikash Gupta, Barbaros Selnur Erdal, Carolina Ramirez, Ralf Floca, Laurence Jackson, Brad W. Genereaux, Sidney Bryson, Christopher P. Bridge, Jens Kleesiek, Felix Nensa, Rickmer Braren, Khaled Younis, Tobias Penzkofer, Andreas Michael Bucher, Ming Melvin Qin, Gigon Bae, M. Jorge Cardoso, Sébastien Ourselin, Eric Kerfoot, Rahul Choudhury, Richard D. White, Tessa Sundaram Cook, David Bericat, Matthew P. Lungren, Risto Haukioja, Haris Shuaib:
Current State of Community-Driven Radiological AI Deployment in Medical Imaging. CoRR abs/2212.14177 (2022) - 2021
- [j156]Alejandro Granados, Fernando Pérez-García, Martin Schweiger, Vejay Vakharia, Sjoerd B. Vos, Anna Miserocchi, Andrew W. McEvoy, John S. Duncan, Rachel Sparks, Sébastien Ourselin:
A generative model of hyperelastic strain energy density functions for multiple tissue brain deformation. Int. J. Comput. Assist. Radiol. Surg. 16(1): 141-150 (2021) - [j155]Alejandro Granados, Yuxuan Han, Oeslle Lucena, Vejay Vakharia, Roman Rodionov, Sjoerd B. Vos, Anna Miserocchi, Andrew W. McEvoy, John S. Duncan, Rachel Sparks, Sébastien Ourselin:
Patient-specific prediction of SEEG electrode bending for stereotactic neurosurgical planning. Int. J. Comput. Assist. Radiol. Surg. 16(5): 789-798 (2021) - [j154]Jonathan Shapey, Thomas Dowrick, Rémi Delaunay, Eleanor C. Mackle, Stephen A. Thompson, Mirek Janatka, Roland Guichard, Anastasis Georgoulas, David Pérez-Suárez, Robert Bradford, Shakeel R. Saeed, Sébastien Ourselin, Matthew J. Clarkson, Tom Vercauteren:
Integrated multi-modality image-guided navigation for neurosurgery: open-source software platform using state-of-the-art clinical hardware. Int. J. Comput. Assist. Radiol. Surg. 16(8): 1347-1356 (2021) - [j153]Fernando Pérez-García, Reuben Dorent, Michele Rizzi, Francesco Cardinale, Valerio Frazzini, Vincent Navarro, Caroline Essert, Irène Ollivier, Tom Vercauteren, Rachel Sparks, John S. Duncan, Sébastien Ourselin:
A self-supervised learning strategy for postoperative brain cavity segmentation simulating resections. Int. J. Comput. Assist. Radiol. Surg. 16(10): 1653-1661 (2021) - [j152]Oeslle Lucena, Sjoerd B. Vos, Vejay Vakharia, John S. Duncan, Keyoumars Ashkan, Rachel Sparks, Sébastien Ourselin:
Enhancing the estimation of fiber orientation distributions using convolutional neural networks. Comput. Biol. Medicine 135: 104643 (2021) - [j151]Fernando Pérez-García, Rachel Sparks, Sébastien Ourselin:
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning. Comput. Methods Programs Biomed. 208: 106236 (2021) - [j150]Ali Alim-Marvasti, Fernando Pérez-García, Karan Dahele, Gloria Romagnoli, Beate Diehl, Rachel Sparks, Sébastien Ourselin, Matthew J. Clarkson, John S. Duncan:
Machine Learning for Localizing Epileptogenic-Zone in the Temporal Lobe: Quantifying the Value of Multimodal Clinical-Semiology and Imaging Concordance. Frontiers Digit. Health 3: 559103 (2021) - [j149]Reuben Dorent, Thomas C. Booth, Wenqi Li, Carole H. Sudre, Sina Kafiabadi, Manuel Jorge Cardoso, Sébastien Ourselin, Tom Vercauteren:
Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets. Medical Image Anal. 67: 101862 (2021) - [j148]Georgios Lazaridis, Marco Lorenzi, Sébastien Ourselin, David Garway-Heath:
Improving statistical power of glaucoma clinical trials using an ensemble of cyclical generative adversarial networks. Medical Image Anal. 68: 101906 (2021) - [j147]Markus D. Schirmer, Archana Venkataraman, Islem Rekik, Minjeong Kim, Stewart H. Mostofsky, Mary Beth Nebel, Keri Rosch, Karen Seymour, Deana Crocetti, Hassna Irzan, Michael Hütel, Sébastien Ourselin, Neil Marlow, Andrew Melbourne, Egor Levchenko, Shuo Zhou, Mwiza Kunda, Haiping Lu, Nicha C. Dvornek, Juntang Zhuang, Gideon Pinto, Sandip Samal, Jennings Zhang, Jorge L. Bernal-Rusiel, Rudolph Pienaar, Ai Wern Chung:
Neuropsychiatric disease classification using functional connectomics - results of the connectomics in neuroimaging transfer learning challenge. Medical Image Anal. 70: 101972 (2021) - [j146]Kerstin Kläser, Thomas Varsavsky, Pawel Markiewicz, Tom Vercauteren, Alexander Hammers, David Atkinson, Kris Thielemans, Brian F. Hutton, Manuel Jorge Cardoso, Sébastien Ourselin:
Imitation learning for improved 3D PET/MR attenuation correction. Medical Image Anal. 71: 102079 (2021) - [j145]Xiangde Luo, Guotai Wang, Tao Song, Jingyang Zhang, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang:
MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learning. Medical Image Anal. 72: 102102 (2021) - [j144]Pritesh Mehta, Michela Antonelli, Hashim Uddin Ahmed, Mark Emberton, Shonit Punwani, Sébastien Ourselin:
Computer-aided diagnosis of prostate cancer using multiparametric MRI and clinical features: A patient-level classification framework. Medical Image Anal. 73: 102153 (2021) - [j143]Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen:
Robust parametric modeling of Alzheimer's disease progression. NeuroImage 225: 117460 (2021) - [j142]Michael Hütel, Michela Antonelli, Andrew Melbourne, Sébastien Ourselin:
Hemodynamic matrix factorization for functional magnetic resonance imaging. NeuroImage 231: 117814 (2021) - [j141]Pawel J. Markiewicz, Julian C. Matthews, John Ashburner, David M. Cash, David L. Thomas, Enrico De Vita, Anna Barnes, M. Jorge Cardoso, Marc Modat, Richard Brown, Kris Thielemans, Casper O. da Costa-Luis, Isadora Lopes Alves, Juan Domingo Gispert, Mark E. Schmidt, Paul Marsden, Alexander Hammers, Sébastien Ourselin, Frederik Barkhof:
Uncertainty analysis of MR-PET image registration for precision neuro-PET imaging. NeuroImage 232: 117821 (2021) - [j140]Hassna Irzan, Erika Molteni, Michael Hütel, Sébastien Ourselin, Neil Marlow, Andrew Melbourne:
White matter analysis of the extremely preterm born adult brain. NeuroImage 237: 118112 (2021) - [j139]Ran Gu, Guotai Wang, Tao Song, Rui Huang, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang:
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation. IEEE Trans. Medical Imaging 40(2): 699-711 (2021) - [j138]Luis C. García-Peraza-Herrera, Lucas Fidon, Claudia D'Ettorre, Danail Stoyanov, Tom Vercauteren, Sébastien Ourselin:
Image Compositing for Segmentation of Surgical Tools Without Manual Annotations. IEEE Trans. Medical Imaging 40(5): 1450-1460 (2021) - [c299]Lucas Fidon, Suprosanna Shit, Ivan Ezhov, Johannes C. Paetzold, Sébastien Ourselin, Tom Vercauteren:
Generalized Wasserstein Dice Loss, Test-Time Augmentation, and Transformers for the BraTS 2021 Challenge. BrainLes@MICCAI (2) 2021: 187-196 - [c298]Martin Huber, John Bason Mitchell, Ross Henry, Sébastien Ourselin, Tom Vercauteren, Christos Bergeles:
Homography-based Visual Servoing with Remote Center of Motion for Semi-autonomous Robotic Endoscope Manipulation. ISMR 2021: 1-7 - [c297]Charalampos Komninos, Theodoros Pissas, Blanca Flores, Edward Bloch, Tom Vercauteren, Sébastien Ourselin, Lyndon Da Cruz, Christos Bergeles:
Intra-operative OCT (iOCT) Image Quality Enhancement: A Super-Resolution Approach Using High Quality iOCT 3D Scans. OMIA@MICCAI 2021: 21-31 - [c296]Pedro Borges, Richard Shaw, Thomas Varsavsky, Kerstin Kläser, David Thomas, Ivana Drobnjak, Sébastien Ourselin, Manuel Jorge Cardoso:
The Role of MRI Physics in Brain Segmentation CNNs: Achieving Acquisition Invariance and Instructive Uncertainties. SASHIMI@MICCAI 2021: 67-76 - [c295]Beatriz Laureano, Hassna Irzan, Sébastien Ourselin, Neil Marlow, Andrew Melbourne:
Myelination of Preterm Brain Networks at Adolescence. UNSURE/PIPPI@MICCAI 2021: 179-188 - [c294]Aya Mutaz Zeidan, Paula Ramirez Gilliland, Ashay Patel, Zhanchong Ou, Dimitra Flouri, Nada Mufti, Kasia Maksym, Rosalind Aughwane, Sébastien Ourselin, Anna L. David, Andrew Melbourne:
Texture-Based Analysis of Fetal Organs in Fetal Growth Restriction. UNSURE/PIPPI@MICCAI 2021: 253-262 - [c293]Lucas Fidon, Michael Aertsen, Nada Mufti, Thomas Deprest, Doaa Emam, Frédéric Guffens, Ernst Schwartz, Michael Ebner, Daniela Prayer, Gregor Kasprian, Anna L. David, Andrew Melbourne, Sébastien Ourselin, Jan Deprest, Georg Langs, Tom Vercauteren:
Distributionally Robust Segmentation of Abnormal Fetal Brain 3D MRI. UNSURE/PIPPI@MICCAI 2021: 263-273 - [c292]Fernando Pérez-García, Catherine J. Scott, Rachel Sparks, Beate Diehl, Sébastien Ourselin:
Transfer Learning of Deep Spatiotemporal Networks to Model Arbitrarily Long Videos of Seizures. MICCAI (5) 2021: 334-344 - [c291]Reuben Dorent, Samuel Joutard, Jonathan Shapey, Aaron Kujawa, Marc Modat, Sébastien Ourselin, Tom Vercauteren:
Inter Extreme Points Geodesics for End-to-End Weakly Supervised Image Segmentation. MICCAI (2) 2021: 615-624 - [c290]Lucas Fidon, Michael Aertsen, Doaa Emam, Nada Mufti, Frédéric Guffens, Thomas Deprest, Philippe Demaerel, Anna L. David, Andrew Melbourne, Sébastien Ourselin, Jan Deprest, Tom Vercauteren:
Label-Set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation. MICCAI (2) 2021: 647-657 - [c289]Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
An MRF-UNet Product of Experts for Image Segmentation. MIDL 2021: 48-59 - [c288]Walter Hugo Lopez Pinaya, Petru-Daniel Tudosiu, Robert J. Gray, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Unsupervised Brain Anomaly Detection and Segmentation with Transformers. MIDL 2021: 596-617 - [c287]David A. Wood, Sina Kafiabadi, Aisha Al Busaidi, Emily Guilhem, Antanas Montvila, Siddharth Agarwal, Jeremy Lynch, Matthew Townend, Gareth J. Barker, Sébastien Ourselin, James H. Cole, Thomas C. Booth:
Automated triaging of head MRI examinations using convolutional neural networks. MIDL 2021: 813-841 - [c286]Irme Groothuis, Carole H. Sudre, Silvia Ingala, Josephine Barnes, Juan Domingo Gispert, Lauge Sørensen, Akshay Pai, Mads Nielsen, Sébastien Ourselin, M. Jorge Cardoso, Frederik Barkhof, Marc Modat:
Lesion-wise evaluation for effective performance monitoring of small object segmentation. Image Processing 2021 - [i101]M. Jorge Cardoso, Marc Modat, Tom Vercauteren, Sébastien Ourselin:
Scale factor point spread function matching: Beyond aliasing in image resampling. CoRR abs/2101.06440 (2021) - [i100]Luis C. García-Peraza-Herrera, Lucas Fidon, Claudia D'Ettorre, Danail Stoyanov, Tom Vercauteren, Sébastien Ourselin:
Image Compositing for Segmentation of Surgical Tools without Manual Annotations. CoRR abs/2102.09528 (2021) - [i99]Luis C. García-Peraza-Herrera, Martin Everson, Laurence B. Lovat, Hsiu-Po Wang, Wen-Lun Wang, Rehan J. Haidry, Danail Stoyanov, Sébastien Ourselin, Tom Vercauteren:
Intrapapillary Capillary Loop Classification in Magnification Endoscopy: Open Dataset and Baseline Methodology. CoRR abs/2102.09963 (2021) - [i98]Walter Hugo Lopez Pinaya, Petru-Daniel Tudosiu, Robert J. Gray, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Unsupervised Brain Anomaly Detection and Segmentation with Transformers. CoRR abs/2102.11650 (2021) - [i97]Marta Bianca Maria Ranzini, Lucas Fidon, Sébastien Ourselin, Marc Modat, Tom Vercauteren:
MONAIfbs: MONAI-based fetal brain MRI deep learning segmentation. CoRR abs/2103.13314 (2021) - [i96]Maria A. Zuluaga, Alex F. Mendelson, M. Jorge Cardoso, Andrew Mayall Taylor, Sébastien Ourselin:
Multi-Atlas Based Pathological Stratification of d-TGA Congenital Heart Disease. CoRR abs/2104.01960 (2021) - [i95]Mostafa Mehdipour-Ghazi, Lauge Sørensen, Sébastien Ourselin, Mads Nielsen:
CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning from Sporadic Temporal Data. CoRR abs/2104.03739 (2021) - [i94]Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
An MRF-UNet Product of Experts for Image Segmentation. CoRR abs/2104.05495 (2021) - [i93]Thomas C. Booth, Bernice Akpinar, Andrei Roman, Haris Shuaib, Aysha Luis, Alysha Chelliah, Ayisha Al Busaidi, Ayesha Mirchandani, Burcu Alparslan, Nina Mansoor, Keyoumars Ashkan, Sébastien Ourselin, Marc Modat:
Machine Learning and Glioblastoma: Treatment Response Monitoring Biomarkers in 2021. CoRR abs/2104.08072 (2021) - [i92]Xiangde Luo, Guotai Wang, Tao Song, Jingyang Zhang, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang:
MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning. CoRR abs/2104.12166 (2021) - [i91]Fernando Pérez-García, Reuben Dorent, Michele Rizzi, Francesco Cardinale, Valerio Frazzini, Vincent Navarro, Caroline Essert, Irène Ollivier, Tom Vercauteren, Rachel Sparks, John S. Duncan, Sébastien Ourselin:
A self-supervised learning strategy for postoperative brain cavity segmentation simulating resections. CoRR abs/2105.11239 (2021) - [i90]Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Stephan Heckers, Henkjan J. Huisman, William R. Jarnagin, Maureen McHugo, Sandy Napel, Jennifer Goli-Pernicka, Kawal S. Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, James A. Meakin, Sébastien Ourselin, Manuel Wiesenfarth, Pablo Arbeláez, Byeonguk Bae, Sihong Chen, Laura Alexandra Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Namkug Kim, Ildoo Kim, Dorit Merhof, Akshay Pai, BeomHee Park, Mathias Perslev, Ramin Rezaiifar, Oliver Rippel, Ignacio Sarasua, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier-Hein, M. Jorge Cardoso:
The Medical Segmentation Decathlon. CoRR abs/2106.05735 (2021) - [i89]David A. Wood, Sina Kafiabadi, Ayisha Al Busaidi, Emily Guilhem, Antanas Montvila, Siddharth Agarwal, Jeremy Lynch, Matthew Townend, Gareth J. Barker, Sébastien Ourselin, James H. Cole, Thomas C. Booth:
Automated triaging of head MRI examinations using convolutional neural networks. CoRR abs/2106.08176 (2021) - [i88]Richard Shaw, Carole H. Sudre, Sébastien Ourselin, M. Jorge Cardoso:
Estimating MRI Image Quality via Image Reconstruction Uncertainty. CoRR abs/2106.10992 (2021) - [i87]Fernando Pérez-García, Catherine J. Scott, Rachel Sparks, Beate Diehl, Sébastien Ourselin:
Transfer Learning of Deep Spatiotemporal Networks to Model Arbitrarily Long Videos of Seizures. CoRR abs/2106.12014 (2021) - [i86]Reuben Dorent, Samuel Joutard, Jonathan Shapey, Aaron Kujawa, Marc Modat, Sébastien Ourselin, Tom Vercauteren:
Inter Extreme Points Geodesics for Weakly Supervised Segmentation. CoRR abs/2107.00583 (2021) - [i85]Caspar Gruijthuijsen, Luis C. García-Peraza-Herrera, Gianni Borghesan, Dominiek Reynaerts, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Emmanuel B. Vander Poorten:
Autonomous Robotic Endoscope Control based on Semantically Rich Instructions. CoRR abs/2107.02317 (2021) - [i84]Lucas Fidon, Michael Aertsen, Doaa Emam, Nada Mufti, Frédéric Guffens, Thomas Deprest, Philippe Demaerel, Anna L. David, Andrew Melbourne, Sébastien Ourselin, Jan Deprest, Tom Vercauteren:
Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation. CoRR abs/2107.03846 (2021) - [i83]Lucas Fidon, Michael Aertsen, Nada Mufti, Thomas Deprest, Doaa Emam, Frédéric Guffens, Ernst Schwartz, Michael Ebner, Daniela Prayer, Gregor Kasprian, Anna L. David, Andrew Melbourne, Sébastien Ourselin, Jan Deprest, Georg Langs, Tom Vercauteren:
Distributionally Robust Segmentation of Abnormal Fetal Brain 3D MRI. CoRR abs/2108.04175 (2021) - [i82]Peichao Li, Michael Ebner, Philip J. Noonan, Conor C. Horgan, Anisha Bahl, Sébastien Ourselin, Jonathan Shapey, Tom Vercauteren:
Deep Learning Approach for Hyperspectral Image Demosaicking, Spectral Correction and High-resolution RGB Reconstruction. CoRR abs/2109.01403 (2021) - [i81]Richard Shaw, Carole H. Sudre, Sébastien Ourselin, M. Jorge Cardoso, Hugh G. Pemberton:
A Decoupled Uncertainty Model for MRI Segmentation Quality Estimation. CoRR abs/2109.02413 (2021) - [i80]Martin Huber, Sébastien Ourselin, Christos Bergeles, Tom Vercauteren:
Deep Homography Estimation in Dynamic Surgical Scenes for Laparoscopic Camera Motion Extraction. CoRR abs/2109.15098 (2021) - [i79]Amy P. K. Nelson, Robert J. Gray, James K. Ruffle, Henry C. Watkins, Daniel Herron, Nick Sorros, Danil Mikhailov, M. Jorge Cardoso, Sébastien Ourselin, Nick McNally, Bryan Williams, Geraint E. Rees, Parashkev Nachev:
Deep forecasting of translational impact in medical research. CoRR abs/2110.08904 (2021) - [i78]Lucas Fidon, Michael Aertsen, Suprosanna Shit, Philippe Demaerel, Sébastien Ourselin, Jan Deprest, Tom Vercauteren:
Partial supervision for the FeTA challenge 2021. CoRR abs/2111.02408 (2021) - [i77]Pedro Borges, Richard Shaw, Thomas Varsavsky, Kerstin Kläser, David Thomas, Ivana Drobnjak, Sébastien Ourselin, M. Jorge Cardoso:
The role of MRI physics in brain segmentation CNNs: achieving acquisition invariance and instructive uncertainties. CoRR abs/2111.02771 (2021) - [i76]Pedro Borges, Richard Shaw, Thomas Varsavsky, Kerstin Kläser, David Thomas, Ivana Drobnjak, Sébastien Ourselin, M. Jorge Cardoso:
Acquisition-invariant brain MRI segmentation with informative uncertainties. CoRR abs/2111.04094 (2021) - [i75]Guilherme Pombo, Robert J. Gray, Manuel Jorge Cardoso, Sébastien Ourselin, Geraint Rees, John Ashburner, Parashkev Nachev:
Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models. CoRR abs/2111.14923 (2021) - [i74]Lucas Fidon, Suprosanna Shit, Ivan Ezhov, Johannes C. Paetzold, Sébastien Ourselin, Tom Vercauteren:
Generalized Wasserstein Dice Loss, Test-time Augmentation, and Transformers for the BraTS 2021 challenge. CoRR abs/2112.13054 (2021) - 2020
- [j137]Luis C. García-Peraza-Herrera, Martin Everson, Laurence B. Lovat, Hsiu-Po Wang, Wen-Lun Wang, Rehan J. Haidry, Danail Stoyanov, Sébastien Ourselin, Tom Vercauteren:
Intrapapillary capillary loop classification in magnification endoscopy: open dataset and baseline methodology. Int. J. Comput. Assist. Radiol. Surg. 15(4): 651-659 (2020) - [j136]Sophia Bano, Francisco Vasconcelos, Emmanuel B. Vander Poorten, Tom Vercauteren, Sébastien Ourselin, Jan Deprest, Danail Stoyanov:
FetNet: a recurrent convolutional network for occlusion identification in fetoscopic videos. Int. J. Comput. Assist. Radiol. Surg. 15(5): 791-801 (2020) - [j135]Hari McGrath, Peichao Li, Reuben Dorent, Robert Bradford, Shakeel R. Saeed, Sotirios Bisdas, Sébastien Ourselin, Jonathan Shapey, Tom Vercauteren:
Manual segmentation versus semi-automated segmentation for quantifying vestibular schwannoma volume on MRI. Int. J. Comput. Assist. Radiol. Surg. 15(9): 1445-1455 (2020) - [j134]Sophia Bano, Francisco Vasconcelos, Marcel Tella-Amo, George Dwyer, Caspar Gruijthuijsen, Emmanuel B. Vander Poorten, Tom Vercauteren, Sébastien Ourselin, Jan Deprest, Danail Stoyanov:
Deep learning-based fetoscopic mosaicking for field-of-view expansion. Int. J. Comput. Assist. Radiol. Surg. 15(11): 1807-1816 (2020) - [j133]Marta Bianca Maria Ranzini, Johann Henckel, Michael Ebner, M. Jorge Cardoso, Amanda Isaac, Tom Vercauteren, Sébastien Ourselin, Alister Hart, Marc Modat:
Automated postoperative muscle assessment of hip arthroplasty patients using multimodal imaging joint segmentation. Comput. Methods Programs Biomed. 183 (2020) - [j132]François Chadebecq, Francisco Vasconcelos, Rene M. Lacher, Efthymios Maneas, Adrien E. Desjardins, Sébastien Ourselin, Tom Vercauteren, Danail Stoyanov:
Refractive Two-View Reconstruction for Underwater 3D Vision. Int. J. Comput. Vis. 128(5): 1101-1117 (2020) - [j131]Michael Ebner, Guotai Wang, Wenqi Li, Michael Aertsen, Premal A. Patel, Rosalind Aughwane, Andrew Melbourne, Tom Doel, Steven Dymarkowski, Paolo De Coppi, Anna L. David, Jan Deprest, Sébastien Ourselin, Tom Vercauteren:
An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI. NeuroImage 206 (2020) - [j130]Ferran Prados, Marcello Moccia, Aubrey Johnson, Marios C. Yiannakas, Francesco Grussu, Manuel Jorge Cardoso, Olga Ciccarelli, Sébastien Ourselin, Frederik Barkhof, Claudia A. M. Wheeler-Kingshott:
Generalised boundary shift integral for longitudinal assessment of spinal cord atrophy. NeuroImage 209: 116489 (2020) - [j129]Da Ma, Manuel Jorge Cardoso, Maria A. Zuluaga, Marc Modat, Nick M. Powell, Frances K. Wiseman, Jon O. Cleary, Benjamin Sinclair, Ian F. Harrison, Bernard Siow, Karteek Popuri, Sieun Lee, Joanne A. Matsubara, Marinko V. Sarunic, Mirza Faisal Beg, Victor L. J. Tybulewicz, Elizabeth M. C. Fisher, Mark F. Lythgoe, Sébastien Ourselin:
Substantially thinner internal granular layer and reduced molecular layer surface in the cerebellar cortex of the Tc1 mouse model of down syndrome - a comprehensive morphometric analysis with active staining contrast-enhanced MRI. NeuroImage 223: 117271 (2020) - [j128]Baris Kanber, James K. Ruffle, M. Jorge Cardoso, Sébastien Ourselin, Olga Ciccarelli:
Neurosense: deep sensing of full or near-full coverage head/brain scans in human magnetic resonance imaging. Neuroinformatics 18(2): 333-336 (2020) - [j127]Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletarì, Holger R. Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N. Galtier, Bennett A. Landman, Klaus H. Maier-Hein, Sébastien Ourselin, Micah J. Sheller, Ronald M. Summers, Andrew Trask, Daguang Xu, Maximilian Baust, M. Jorge Cardoso:
The future of digital health with federated learning. npj Digit. Medicine 3 (2020) - [j126]Richard Shaw, Carole H. Sudre, Thomas Varsavsky, Sébastien Ourselin, M. Jorge Cardoso:
A k-Space Model of Movement Artefacts: Application to Segmentation Augmentation and Artefact Removal. IEEE Trans. Medical Imaging 39(9): 2881-2892 (2020) - [c285]Sotiris Nousias, Manolis I. A. Lourakis, Pearse A. Keane, Sébastien Ourselin, Christos Bergeles:
A Linear Approach to Absolute Pose Estimation for Light Fields. 3DV 2020: 672-681 - [c284]Julie Legrand, Dries Dirckx, Maarten Durt, Mouloud Ourak, Jan Deprest, Sébastien Ourselin, Jun Qian, Tom Vercauteren, Emmanuel B. Vander Poorten:
Active Handheld Flexible Fetoscope-Design and Control Based on a Modified Generalized Prandtl-Ishlinski Model. AIM 2020: 367-374 - [c283]Lucas Fidon, Sébastien Ourselin, Tom Vercauteren:
Generalized Wasserstein Dice Score, Distributionally Robust Deep Learning, and Ranger for Brain Tumor Segmentation: BraTS 2020 Challenge. BrainLes@MICCAI (2) 2020: 200-214 - [c282]Marta Bianca Maria Ranzini, Irme Groothuis, Kerstin Kläser, M. Jorge Cardoso, Johann Henckel, Sébastien Ourselin, Alister Hart, Marc Modat:
Combining Multimodal Information for Metal Artefact Reduction: An Unsupervised Deep Learning Framework. ISBI 2020: 600-604 - [c281]Alejandro Granados, Oeslle Lucena, Vejay Vakharia, Anna Miserocchi, Andrew W. McEvoy, Sjoerd B. Vos, Roman Rodionov, John S. Duncan, Rachel Sparks, Sébastien Ourselin:
Towards Uncertainty Quantification for Electrode Bending Prediction in Stereotactic Neurosurgery. ISBI 2020: 674-677 - [c280]Pritesh Mehta, Michela Antonelli, Hashim Uddin Ahmed, Mark Emberton, Shonit Punwani, Sébastien Ourselin:
Decision fusion of 3D convolutional neural networks to triage patients with suspected prostate cancer using volumetric biparametric MRI. Computer-Aided Diagnosis 2020 - [c279]Mark S. Graham, Carole H. Sudre, Thomas Varsavsky, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, Manuel Jorge Cardoso:
Hierarchical Brain Parcellation with Uncertainty. UNSURE/GRAIL@MICCAI 2020: 23-31 - [c278]Kerstin Kläser, Pedro Borges, Richard Shaw, Marta Ranzini, Marc Modat, David Atkinson, Kris Thielemans, Brian F. Hutton, Vicky Goh, Gary J. Cook, M. Jorge Cardoso, Sébastien Ourselin:
Uncertainty-Aware Multi-resolution Whole-Body MR to CT Synthesis. SASHIMI@MICCAI 2020: 110-119 - [c277]Fernando Pérez-García, Roman Rodionov, Ali Alim-Marvasti, Rachel Sparks, John S. Duncan, Sébastien Ourselin:
Simulation of Brain Resection for Cavity Segmentation Using Self-supervised and Semi-supervised Learning. MICCAI (3) 2020: 115-125 - [c276]Hassna Irzan, Lucas Fidon, Tom Vercauteren, Sébastien Ourselin, Neil Marlow, Andrew Melbourne:
Min-Cut Max-Flow for Network Abnormality Detection: Application to Preterm Birth. UNSURE/GRAIL@MICCAI 2020: 164-173 - [c275]Thomas C. Booth, Bernice Akpinar, Andrei Roman, Haris Shuaib, Aysha Luis, Alysha Chelliah, Ayisha Al Busaidi, Ayesha Mirchandani, Burcu Alparslan, Nina Mansoor, Keyoumars Ashkan, Sébastien Ourselin, Marc Modat:
Machine Learning and Glioblastoma: Treatment Response Monitoring Biomarkers in 2021. MLCN/RNO-AI@MICCAI 2020: 212-228 - [c274]David A. Wood, Sina Kafiabadi, Aisha Al Busaidi, Emily Guilhem, Jeremy Lynch, Matthew Townend, Antanas Montvila, Juveria Siddiqui, Naveen Gadapa, Matthew Benger, Gareth J. Barker, Sébastien Ourselin, James H. Cole, Thomas C. Booth:
Labelling Imaging Datasets on the Basis of Neuroradiology Reports: A Validation Study. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 254-265 - [c273]Guotai Wang, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang:
Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI Slices. MICCAI (4) 2020: 279-288 - [c272]Hassna Irzan, Helen O'Reilly, Sébastien Ourselin, Neil Marlow, Andrew Melbourne:
Brain Volume and Neuropsychological Differences in Extremely Preterm Adolescents. ASMUS/PIPPI@MICCAI 2020: 315-323 - [c271]Reuben Dorent, Samuel Joutard, Jonathan Shapey, Sotirios Bisdas, Neil Kitchen, Robert Bradford, Shakeel R. Saeed, Marc Modat, Sébastien Ourselin, Tom Vercauteren:
Scribble-Based Domain Adaptation via Co-segmentation. MICCAI (1) 2020: 479-489 - [c270]Sophia Bano, Francisco Vasconcelos, Luke M. Shepherd, Emmanuel B. Vander Poorten, Tom Vercauteren, Sébastien Ourselin, Anna L. David, Jan Deprest, Danail Stoyanov:
Deep Placental Vessel Segmentation for Fetoscopic Mosaicking. MICCAI (3) 2020: 763-773 - [c269]Richard Shaw, Carole H. Sudre, Sébastien Ourselin, M. Jorge Cardoso:
A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image Quality. MIDL 2020: 733-742 - [c268]David A. Wood, Jeremy Lynch, Sina Kafiabadi, Emily Guilhem, Aisha Al Busaidi, Antanas Montvila, Thomas Varsavsky, Juveria Siddiqui, Naveen Gadapa, Matthew Townend, Martin Kiik, Keena Patel, Gareth J. Barker, Sébastien Ourselin, James H. Cole, Thomas C. Booth:
Automated Labelling using an Attention model for Radiology reports of MRI scans (ALARM). MIDL 2020: 811-826 - [c267]David Drobny, Marta Ranzini, Amanda Isaac, Tom Vercauteren, Sébastien Ourselin, David Choi, Marc Modat:
Towards Automated Spine Mobility Quantification: A Locally Rigid CT to X-ray Registration Framework. WBIR 2020: 67-77 - [i73]Lucas Fidon, Sébastien Ourselin, Tom Vercauteren:
SGD with Hardness Weighted Sampling for Distributionally Robust Deep Learning. CoRR abs/2001.02658 (2020) - [i72]Richard Shaw, Carole H. Sudre, Sébastien Ourselin, M. Jorge Cardoso:
A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image Quality. CoRR abs/2001.11927 (2020) - [i71]Petru-Daniel Tudosiu, Thomas Varsavsky, Richard Shaw, Mark S. Graham, Parashkev Nachev, Sébastien Ourselin, Carole H. Sudre, M. Jorge Cardoso:
Neuromorphologicaly-preserving Volumetric data encoding using VQ-VAE. CoRR abs/2002.05692 (2020) - [i70]David A. Wood, Jeremy Lynch, Sina Kafiabadi, Emily Guilhem, Aisha Al Busaidi, Antanas Montvila, Thomas Varsavsky, Juveria Siddiqui, Naveen Gadapa, Matthew Townend, Martin Kiik, Keena Patel, Gareth J. Barker, Sébastien Ourselin, James H. Cole, Thomas C. Booth:
Automated Labelling using an Attention model for Radiology reports of MRI scans (ALARM). CoRR abs/2002.06588 (2020) - [i69]Fernando Pérez-García, Rachel Sparks, Sébastien Ourselin:
TorchIO: a Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning. CoRR abs/2003.04696 (2020) - [i68]Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletari, Holger Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N. Galtier, Bennett A. Landman, Klaus H. Maier-Hein, Sébastien Ourselin, Micah J. Sheller, Ronald M. Summers, Andrew Trask, Daguang Xu, Maximilian Baust, M. Jorge Cardoso:
The Future of Digital Health with Federated Learning. CoRR abs/2003.08119 (2020) - [i67]Maria A. Zuluaga, M. Jorge Cardoso, Sébastien Ourselin:
Automatic Right Ventricle Segmentation using Multi-Label Fusion in Cardiac MRI. CoRR abs/2004.02317 (2020) - [i66]Marta Bianca Maria Ranzini, Irme Groothuis, Kerstin Kläser, M. Jorge Cardoso, Johann Henckel, Sébastien Ourselin, Alister Hart, Marc Modat:
Combining multimodal information for Metal Artefact Reduction: An unsupervised deep learning framework. CoRR abs/2004.09321 (2020) - [i65]Markus D. Schirmer, Archana Venkataraman, Islem Rekik, Minjeong Kim, Stewart Mostofsky, Mary Beth Nebel, Keri Rosch, Karen Seymour, Deana Crocetti, Hassna Irzan, Michael Hütel, Sébastien Ourselin, Neil Marlow, Andrew Melbourne, Egor Levchenko, Shuo Zhou, Mwiza Kunda, Haiping Lu, Nicha C. Dvornek, Juntang Zhuang, Gideon Pinto, Sandip Samal, Jorge L. Bernal-Rusiel, Rudolph Pienaar, Ai Wern Chung:
Neuropsychiatric Disease Classification Using Functional Connectomics - Results of the Connectomics in NeuroImaging Transfer Learning Challenge. CoRR abs/2006.03611 (2020) - [i64]Fernando Pérez-García, Roman Rodionov, Ali Alim-Marvasti, Rachel Sparks, John S. Duncan, Sébastien Ourselin:
Simulation of Brain Resection for Cavity Segmentation Using Self-Supervised and Semi-Supervised Learning. CoRR abs/2006.15693 (2020) - [i63]Guotai Wang, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang:
Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI Slices. CoRR abs/2007.00833 (2020) - [i62]Reuben Dorent, Samuel Joutard, Jonathan Shapey, Sotirios Bisdas, Neil Kitchen, Robert Bradford, Shakeel R. Saeed, Marc Modat, Sébastien Ourselin, Tom Vercauteren:
Scribble-based Domain Adaptation via Co-segmentation. CoRR abs/2007.03632 (2020) - [i61]David A. Wood, Sina Kafiabadi, Aisha Al Busaidi, Emily Guilhem, Jeremy Lynch, Matthew Townend, Antanas Montvila, Juveria Siddiqui, Naveen Gadapa, Matthew Benger, Gareth J. Barker, Sébastien Ourselin, James H. Cole, Thomas C. Booth:
Labelling imaging datasets on the basis of neuroradiology reports: a validation study. CoRR abs/2007.04226 (2020) - [i60]Sophia Bano, Francisco Vasconcelos, Luke M. Shepherd, Emmanuel B. Vander Poorten, Tom Vercauteren, Sébastien Ourselin, Anna L. David, Jan Deprest, Danail Stoyanov:
Deep Placental Vessel Segmentation for Fetoscopic Mosaicking. CoRR abs/2007.04349 (2020) - [i59]Oeslle Lucena, Sjoerd B. Vos, Vejay Vakharia, John S. Duncan, Keyoumars Ashkan, Rachel Sparks, Sébastien Ourselin:
Using convolution neural networks to learn enhanced fiber orientation distribution models from commercially available diffusion magnetic resonance imaging. CoRR abs/2008.05409 (2020) - [i58]Luis C. García-Peraza-Herrera, Wenqi Li, Caspar Gruijthuijsen, Alain Devreker, George Attilakos, Jan Deprest, Emmanuel B. Vander Poorten, Danail Stoyanov, Tom Vercauteren, Sébastien Ourselin:
Real-Time Segmentation of Non-Rigid Surgical Tools based on Deep Learning and Tracking. CoRR abs/2009.03016 (2020) - [i57]Reuben Dorent, Thomas C. Booth, Wenqi Li, Carole H. Sudre, Sina Kafiabadi, Manuel Jorge Cardoso, Sébastien Ourselin, Tom Vercauteren:
Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets. CoRR abs/2009.04009 (2020) - [i56]Mark S. Graham, Carole H. Sudre, Thomas Varsavsky, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Hierarchical brain parcellation with uncertainty. CoRR abs/2009.07573 (2020) - [i55]Ran Gu, Guotai Wang, Tao Song, Rui Huang, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang:
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation. CoRR abs/2009.10549 (2020) - [i54]Benjamin Murray, Eric Kerfoot, Mark S. Graham, Carole H. Sudre, Erika Molteni, Liane S. Canas, Michela Antonelli, Alessia Visconti, Andrew T. Chan, Paul W. Franks, Richard Davies, Jonathan Wolf, Tim D. Spector, Claire J. Steves, Marc Modat, Sébastien Ourselin:
Accessible Data Curation and Analytics for International-Scale Citizen Science Datasets. CoRR abs/2011.00867 (2020) - [i53]Lucas Fidon, Sébastien Ourselin, Tom Vercauteren:
Generalized Wasserstein Dice Score, Distributionally Robust Deep Learning, and Ranger for brain tumor segmentation: BraTS 2020 challenge. CoRR abs/2011.01614 (2020) - [i52]Loïc Peter, Marcel Tella-Amo, Dzhoshkun Ismail Shakir, Jan Deprest, Sébastien Ourselin, Juan Eugenio Iglesias, Tom Vercauteren:
Active Annotation of Informative Overlapping Frames in Video Mosaicking Applications. CoRR abs/2012.15343 (2020)
2010 – 2019
- 2019
- [j125]Eoin R. Hyde, Lorenz Berger, Navin Ramachandran, Archie Hughes-Hallett, Nevil Pavithran, Maxine Gia Binh Tran, Sébastien Ourselin, Axel Bex, Faiz Mumtaz:
Interactive virtual 3D models of renal cancer patient anatomies alter partial nephrectomy surgical planning decisions and increase surgeon confidence compared to volume-rendered images. Int. J. Comput. Assist. Radiol. Surg. 14(4): 723-732 (2019) - [j124]Guotai Wang, Wenqi Li, Sébastien Ourselin, Tom Vercauteren:
Automatic Brain Tumor Segmentation Based on Cascaded Convolutional Neural Networks With Uncertainty Estimation. Frontiers Comput. Neurosci. 13: 56 (2019) - [j123]Julie Legrand, Allan Javaux, Mouloud Ourak, Dirk Wenmakers, Tom Vercauteren, Jan Deprest, Sébastien Ourselin, Kathleen Denis, Emmanuel B. Vander Poorten:
Handheld Active Add-On Control Unit for a Cable-Driven Flexible Endoscope. Frontiers Robotics AI 6: 87 (2019) - [j122]Guotai Wang, Wenqi Li, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren:
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks. Neurocomputing 338: 34-45 (2019) - [j121]Michela Antonelli, M. Jorge Cardoso, Edward W. Johnston, Mrishta Brizmohun Appayya, Benoît Presles, Marc Modat, Shonit Punwani, Sébastien Ourselin:
GAS: A genetic atlas selection strategy in multi-atlas segmentation framework. Medical Image Anal. 52: 97-108 (2019) - [j120]Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen:
Training recurrent neural networks robust to incomplete data: Application to Alzheimer's disease progression modeling. Medical Image Anal. 53: 39-46 (2019) - [j119]Marco Lorenzi, Maurizio Filippone, Giovanni B. Frisoni, Daniel C. Alexander, Sébastien Ourselin:
Probabilistic disease progression modeling to characterize diagnostic uncertainty: Application to staging and prediction in Alzheimer's disease. NeuroImage 190: 56-68 (2019) - [j118]Baris Kanber, Parashkev Nachev, Frederik Barkhof, Alberto Calvi, Jorge Cardoso, Rosa Cortese, Ferran Prados, Carole H. Sudre, Carmen Tur, Sébastien Ourselin, Olga Ciccarelli:
High-dimensional detection of imaging response to treatment in multiple sclerosis. npj Digit. Medicine 2 (2019) - [j117]Baris Kanber, Parashkev Nachev, Frederik Barkhof, Alberto Calvi, Jorge Cardoso, Rosa Cortese, Ferran Prados, Carole H. Sudre, Carmen Tur, Sébastien Ourselin, Olga Ciccarelli:
Author Correction: High-dimensional detection of imaging response to treatment in multiple sclerosis. npj Digit. Medicine 2 (2019) - [j116]Guotai Wang, Maria A. Zuluaga, Wenqi Li, Rosalind Pratt, Premal A. Patel, Michael Aertsen, Tom Doel, Anna L. David, Jan Deprest, Sébastien Ourselin, Tom Vercauteren:
DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 41(7): 1559-1572 (2019) - [j115]Sergio Portolés Diez, Gianni Borghesan, Luc Joyeux, Christel Meuleman, Jan Deprest, Danail Stoyanov, Sébastien Ourselin, Tom Vercauteren, Dominiek Reynaerts, Emmanuel B. Vander Poorten:
Evaluation of Haptic Feedback on Bimanually Teleoperated Laparoscopy for Endometriosis Surgery. IEEE Trans. Biomed. Eng. 66(5): 1207-1221 (2019) - [j114]Stefano Moriconi, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Inference of Cerebrovascular Topology With Geodesic Minimum Spanning Trees. IEEE Trans. Medical Imaging 38(1): 225-239 (2019) - [j113]Hugo J. Kuijf, Adrià Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Lladó, J. Matthijs Biesbroek, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sébastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Élodie Puybareau, Jeroen de Bresser, Letícia Rittner, Carole H. Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Rutger Heinen, Christopher Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels, Simon Andermatt, Mariana P. Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso:
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. IEEE Trans. Medical Imaging 38(11): 2556-2568 (2019) - [c266]Mirza Awais Ahmad, Mouloud Ourak, Caspar Gruijthuijsen, Julie Legrand, Tom Vercauteren, Jan Deprest, Sébastien Ourselin, Emmanuel B. Vander Poorten:
Design and Shared Control of a Flexible Endoscope with Autonomous Distal Tip Alignment. ICAR 2019: 647-653 - [c265]Felix J. S. Bragman, Ryutaro Tanno, Sébastien Ourselin, Daniel C. Alexander, Manuel Jorge Cardoso:
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels. ICCV 2019: 1385-1394 - [c264]Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen:
On the Initialization of Long Short-Term Memory Networks. ICONIP (1) 2019: 275-286 - [c263]George Dwyer, Richard J. Colchester, Erwin J. Alles, Efthymios Maneas, Sébastien Ourselin, Tom Vercauteren, Jan Deprest, Emmanuel B. Vander Poorten, Paolo De Coppi, Adrien E. Desjardins, Danail Stoyanov:
Robotic Control of a Multi-Modal Rigid Endoscope Combining Optical Imaging with All-Optical Ultrasound. ICRA 2019: 3882-3888 - [c262]T. Vandebroek, Mouloud Ourak, Caspar Gruijthuijsen, Allan Javaux, Julie Legrand, Tom Vercauteren, Sébastien Ourselin, Jan Deprest, Emmanuel B. Vander Poorten:
Macro-Micro Multi-Arm Robot for Single-Port Access Surgery. IROS 2019: 425-432 - [c261]Hassna Irzan, Helen O'Reilly, Sébastien Ourselin, Neil Marlow, Andrew Melbourne:
A Framework For Memory Performance Prediction From Brain Volume In Preterm-Born Adolescents. ISBI 2019: 400-403 - [c260]Georgios Lazaridis, Marco Lorenzi, Sébastien Ourselin, David Garway-Heath:
Enhancing OCT Signal by Fusion of GANs: Improving Statistical Power of Glaucoma Clinical Trials. MICCAI (1) 2019: 3-11 - [c259]Kerstin Kläser, Thomas Varsavsky, Pawel Markiewicz, Tom Vercauteren, David Atkinson, Kris Thielemans, Brian F. Hutton, M. Jorge Cardoso, Sébastien Ourselin:
Improved MR to CT Synthesis for PET/MR Attenuation Correction Using Imitation Learning. SASHIMI@MICCAI 2019: 13-21 - [c258]Mauricio Orbes-Arteaga, Thomas Varsavsky, Carole H. Sudre, Zach Eaton-Rosen, Lewis J. Haddow, Lauge Sørensen, Mads Nielsen, Akshay Pai, Sébastien Ourselin, Marc Modat, Parashkev Nachev, M. Jorge Cardoso:
Multi-domain Adaptation in Brain MRI Through Paired Consistency and Adversarial Learning. DART/MIL3ID@MICCAI 2019: 54-62 - [c257]Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Sørensen, Christian Igel, Sébastien Ourselin, Marc Modat, Mads Nielsen, Akshay Pai:
Knowledge Distillation for Semi-supervised Domain Adaptation. OR/MLCN@MICCAI 2019: 68-76 - [c256]Reuben Dorent, Samuel Joutard, Marc Modat, Sébastien Ourselin, Tom Vercauteren:
Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation. MICCAI (2) 2019: 74-82 - [c255]Pedro Borges, Carole H. Sudre, Thomas Varsavsky, David Thomas, Ivana Drobnjak, Sébastien Ourselin, M. Jorge Cardoso:
Physics-Informed Brain MRI Segmentation. SASHIMI@MICCAI 2019: 100-109 - [c254]Michael Hütel, Michela Antonelli, Jinendra Ekanayake, Sébastien Ourselin, Andrew Melbourne:
Hemodynamic Matrix Factorization for Functional Magnetic Resonance Imaging. CNI@MICCAI 2019: 117-125 - [c253]Daniel Sobotka, Roxane Licandro, Michael Ebner, Ernst Schwartz, Tom Vercauteren, Sébastien Ourselin, Gregor Kasprian, Daniela Prayer, Georg Langs:
Reproducibility of Functional Connectivity Estimates in Motion Corrected Fetal fMRI. SUSI/PIPPI@MICCAI 2019: 123-132 - [c252]Wenqi Li, Fausto Milletarì, Daguang Xu, Nicola Rieke, Jonny Hancox, Wentao Zhu, Maximilian Baust, Yan Cheng, Sébastien Ourselin, M. Jorge Cardoso, Andrew Feng:
Privacy-Preserving Federated Brain Tumour Segmentation. MLMI@MICCAI 2019: 133-141 - [c251]David Drobny, Marta Ranzini, Sébastien Ourselin, Tom Vercauteren, Marc Modat:
Landmark-Based Evaluation of a Block-Matching Registration Framework on the RESECT Pre- and Intra-operative Brain Image Data Set. LABELS/HAL-MICCAI/CuRIOUS@MICCAI 2019: 136-144 - [c250]Stefano Moriconi, Rafael Rehwald, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Towards Quantifying Neurovascular Resilience. MLMECH/CVII-STENT@MICCAI 2019: 149-157 - [c249]Alejandro Granados, Martin Schweiger, Vejay Vakharia, Andrew W. McEvoy, Anna Miserocchi, John S. Duncan, Rachel Sparks, Sébastien Ourselin:
A Generative Model of Hyperelastic Strain Energy Density Functions for Real-Time Simulation of Brain Tissue Deformation. MICCAI (5) 2019: 218-226 - [c248]Guotai Wang, Jonathan Shapey, Wenqi Li, Reuben Dorent, Alex Demitriadis, Sotirios Bisdas, Ian Paddick, Robert Bradford, Shaoting Zhang, Sébastien Ourselin, Tom Vercauteren:
Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss. MICCAI (2) 2019: 264-272 - [c247]Sophia Bano, Francisco Vasconcelos, Marcel Tella-Amo, George Dwyer, Caspar Gruijthuijsen, Jan Deprest, Sébastien Ourselin, Emmanuel B. Vander Poorten, Tom Vercauteren, Danail Stoyanov:
Deep Sequential Mosaicking of Fetoscopic Videos. MICCAI (1) 2019: 311-319 - [c246]Zach Eaton-Rosen, Thomas Varsavsky, Sébastien Ourselin, M. Jorge Cardoso:
As Easy as 1, 2...4? Uncertainty in Counting Tasks for Medical Imaging. MICCAI (4) 2019: 356-364 - [c245]Felix J. S. Bragman, Ryutaro Tanno, Sébastien Ourselin, Daniel C. Alexander, M. Jorge Cardoso:
Learning Task-Specific and Shared Representations in Medical Imaging. MICCAI (4) 2019: 374-383 - [c244]Samuel Joutard, Reuben Dorent, Amanda Isaac, Sébastien Ourselin, Tom Vercauteren, Marc Modat:
Permutohedral Attention Module for Efficient Non-local Neural Networks. MICCAI (6) 2019: 393-401 - [c243]Lucas Fidon, Michael Ebner, Luis C. García-Peraza-Herrera, Marc Modat, Sébastien Ourselin, Tom Vercauteren:
Incompressible Image Registration Using Divergence-Conforming B-Splines. MICCAI (2) 2019: 438-446 - [c242]Dimitra Flouri, David Owen, Rosalind Aughwane, Nada Mufti, Magdalena J. Sokolska, David Atkinson, Giles S. Kendall, Alan Bainbridge, Tom Vercauteren, Anna L. David, Sébastien Ourselin, Andrew Melbourne:
Improved Placental Parameter Estimation Using Data-Driven Bayesian Modelling. MICCAI (3) 2019: 609-616 - [c241]Carole H. Sudre, Beatriz Gomez Anson, Silvia Ingala, Chris D. Lane, Daniel Jimenez, Lukas Haider, Thomas Varsavsky, Ryutaro Tanno, Lorna Smith, Sébastien Ourselin, Hans Rolf Jäger, M. Jorge Cardoso:
Let's Agree to Disagree: Learning Highly Debatable Multirater Labelling. MICCAI (4) 2019: 665-673 - [c240]Reuben Dorent, Wenqi Li, Jinendra Ekanayake, Sébastien Ourselin, Tom Vercauteren:
Learning joint lesion and tissue segmentation from task-specific hetero-modal datasets. MIDL 2019: 164-174 - [c239]Richard Shaw, Carole H. Sudre, Sébastien Ourselin, M. Jorge Cardoso:
MRI k-Space Motion Artefact Augmentation: Model Robustness and Task-Specific Uncertainty. MIDL 2019: 427-436 - [c238]Carole H. Sudre, Beatriz Gomez Anson, Silvia Ingala, Chris D. Lane, Daniel Jimenez, Lukas Haider, Thomas Varsavsky, Lorna Smith, Sébastien Ourselin, Hans Rolf Jäger, M. Jorge Cardoso:
3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects. MIDL 2019: 447-456 - [c237]Mauricio Orbes-Arteaga, Lauge Sørensen, Manuel Jorge Cardoso, Marc Modat, Sébastien Ourselin, Stefan Sommer, Mads Nielsen, Christian Igel, Akshay Pai:
PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation. Image Processing 2019: 109490S - [i51]Da Ma, Manuel Jorge Cardoso, Maria A. Zuluaga, Marc Modat, Nick M. Powell, Frances K. Wiseman, Victor L. J. Tybulewicz, Elizabeth M. C. Fisher, Mark F. Lythgoe, Sébastien Ourselin:
Grey matter sublayer thickness estimation in themouse cerebellum. CoRR abs/1901.02499 (2019) - [i50]Stephen Morrell, Zbigniew Wojna, Can Son Khoo, Sébastien Ourselin, Juan Eugenio Iglesias:
Large-scale mammography CAD with Deformable Conv-Nets. CoRR abs/1902.07323 (2019) - [i49]Xiahai Zhuang, Lei Li, Christian Payer, Darko Stern, Martin Urschler, Mattias P. Heinrich, Julien Oster, Chunliang Wang, Örjan Smedby, Cheng Bian, Xin Yang, Pheng-Ann Heng, Aliasghar Mortazi, Ulas Bagci, Guanyu Yang, Chenchen Sun, Gaetan Galisot, Jean-Yves Ramel, Thierry Brouard, Qianqian Tong, Weixin Si, Xiangyun Liao, Guodong Zeng, Zenglin Shi, Guoyan Zheng, Chengjia Wang, Tom J. MacGillivray, David E. Newby, Kawal S. Rhode, Sébastien Ourselin, Raad Mohiaddin, Jennifer Keegan, David N. Firmin, Guang Yang:
Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge. CoRR abs/1902.07880 (2019) - [i48]Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen:
Training recurrent neural networks robust to incomplete data: application to Alzheimer's disease progression modeling. CoRR abs/1903.07173 (2019) - [i47]Hugo J. Kuijf, J. Matthijs Biesbroek, Jeroen de Bresser, Rutger Heinen, Simon Andermatt, Mariana P. Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso, Adrià Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Lladó, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sébastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Élodie Puybareau, Letícia Rittner, Carole H. Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Christopher Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels:
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. CoRR abs/1904.00682 (2019) - [i46]Guotai Wang, Jonathan Shapey, Wenqi Li, Reuben Dorent, Alex Demitriadis, Sotirios Bisdas, Ian Paddick, Robert Bradford, Sébastien Ourselin, Tom Vercauteren:
Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss. CoRR abs/1906.03906 (2019) - [i45]Samuel Joutard, Reuben Dorent, Amanda Isaac, Sébastien Ourselin, Tom Vercauteren, Marc Modat:
Permutohedral Attention Module for Efficient Non-Local Neural Networks. CoRR abs/1907.00641 (2019) - [i44]Reuben Dorent, Wenqi Li, Jinendra Ekanayake, Sébastien Ourselin, Tom Vercauteren:
Learning joint lesion and tissue segmentation from task-specific hetero-modal datasets. CoRR abs/1907.03327 (2019) - [i43]Sophia Bano, Francisco Vasconcelos, Marcel Tella-Amo, George Dwyer, Caspar Gruijthuijsen, Jan Deprest, Sébastien Ourselin, Emmanuel B. Vander Poorten, Tom Vercauteren, Danail Stoyanov:
Deep Sequential Mosaicking of Fetoscopic Videos. CoRR abs/1907.06543 (2019) - [i42]Reuben Dorent, Samuel Joutard, Marc Modat, Sébastien Ourselin, Tom Vercauteren:
Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation. CoRR abs/1907.11150 (2019) - [i41]Zach Eaton-Rosen, Thomas Varsavsky, Sébastien Ourselin, M. Jorge Cardoso:
As easy as 1, 2... 4? Uncertainty in counting tasks for medical imaging. CoRR abs/1907.11555 (2019) - [i40]Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen:
Robust parametric modeling of Alzheimer's disease progression. CoRR abs/1908.05338 (2019) - [i39]Mauricio Orbes-Arteaga, Thomas Varsavsky, Carole H. Sudre, Zach Eaton-Rosen, Lewis J. Haddow, Lauge Sørensen, Mads Nielsen, Akshay Pai, Sébastien Ourselin, Marc Modat, Parashkev Nachev, Manuel Jorge Cardoso:
Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning. CoRR abs/1908.05959 (2019) - [i38]Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Sørensen, Christian Igel, Sébastien Ourselin, Marc Modat, Mads Nielsen, Akshay Pai:
Knowledge distillation for semi-supervised domain adaptation. CoRR abs/1908.07355 (2019) - [i37]Kerstin Kläser, Thomas Varsavsky, Pawel Markiewicz, Tom Vercauteren, David Atkinson, Kris Thielemans, Brian F. Hutton, M. Jorge Cardoso, Sébastien Ourselin:
Improved MR to CT synthesis for PET/MR attenuation correction using Imitation Learning. CoRR abs/1908.08431 (2019) - [i36]Felix J. S. Bragman, Ryutaro Tanno, Sébastien Ourselin, Daniel C. Alexander, M. Jorge Cardoso:
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels. CoRR abs/1908.09597 (2019) - [i35]Carole H. Sudre, Beatriz Gomez Anson, Silvia Ingala, Chris D. Lane, Daniel Jimenez, Lukas Haider, Thomas Varsavsky, Ryutaro Tanno, Lorna Smith, Sébastien Ourselin, Hans Rolf Jäger, M. Jorge Cardoso:
Let's agree to disagree: learning highly debatable multirater labelling. CoRR abs/1909.01891 (2019) - [i34]Wenqi Li, Fausto Milletari, Daguang Xu, Nicola Rieke, Jonny Hancox, Wentao Zhu, Maximilian Baust, Yan Cheng, Sébastien Ourselin, M. Jorge Cardoso, Andrew Feng:
Privacy-preserving Federated Brain Tumour Segmentation. CoRR abs/1910.00962 (2019) - [i33]Stefano Moriconi, Rafael Rehwald, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Towards Quantifying Neurovascular Resilience. CoRR abs/1910.13200 (2019) - [i32]Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen:
On the Initialization of Long Short-Term Memory Networks. CoRR abs/1912.10454 (2019) - 2018
- [j112]Loïc Peter, Marcel Tella-Amo, Dzhoshkun Ismail Shakir, George Attilakos, Ruwan Wimalasundera, Jan Deprest, Sébastien Ourselin, Tom Vercauteren:
Retrieval and registration of long-range overlapping frames for scalable mosaicking of in vivo fetoscopy. Int. J. Comput. Assist. Radiol. Surg. 13(5): 713-720 (2018) - [j111]Stephen A. Thompson, Crispin Schneider, Michele Bosi, Kurinchi Gurusamy, Sébastien Ourselin, Brian R. Davidson, David J. Hawkes, Matthew J. Clarkson:
In vivo estimation of target registration errors during augmented reality laparoscopic surgery. Int. J. Comput. Assist. Radiol. Surg. 13(6): 865-874 (2018) - [j110]Alejandro Granados, Vejay Vakharia, Roman Rodionov, Martin Schweiger, Sjoerd B. Vos, Aidan G. O'Keeffe, Kuo Li, Chengyuan Wu, Anna Miserocchi, Andrew W. McEvoy, Matthew J. Clarkson, John S. Duncan, Rachel Sparks, Sébastien Ourselin:
Automatic segmentation of stereoelectroencephalography (SEEG) electrodes post-implantation considering bending. Int. J. Comput. Assist. Radiol. Surg. 13(6): 935-946 (2018) - [j109]Francisco Vasconcelos, Patrick Brandao, Tom Vercauteren, Sébastien Ourselin, Jan Deprest, Donald Peebles, Danail Stoyanov:
Towards computer-assisted TTTS: Laser ablation detection for workflow segmentation from fetoscopic video. Int. J. Comput. Assist. Radiol. Surg. 13(10): 1661-1670 (2018) - [j108]Allan Javaux, David Bouget, Caspar Gruijthuijsen, Danail Stoyanov, Tom Vercauteren, Sébastien Ourselin, Jan Deprest, Kathleen Denis, Emmanuel B. Vander Poorten:
A mixed-reality surgical trainer with comprehensive sensing for fetal laser minimally invasive surgery. Int. J. Comput. Assist. Radiol. Surg. 13(12): 1949-1957 (2018) - [j107]Eli Gibson, Wenqi Li, Carole H. Sudre, Lucas Fidon, Dzhoshkun I. Shakir, Guotai Wang, Zach Eaton-Rosen, Robert J. Gray, Tom Doel, Yipeng Hu, Tom Whyntie, Parashkev Nachev, Marc Modat, Dean C. Barratt, Sébastien Ourselin, M. Jorge Cardoso, Tom Vercauteren:
NiftyNet: a deep-learning platform for medical imaging. Comput. Methods Programs Biomed. 158: 113-122 (2018) - [j106]Caspar Gruijthuijsen, Richard J. Colchester, Alain Devreker, Allan Javaux, Efthymios Maneas, Sacha Noimark, Wenfeng Xia, Danail Stoyanov, Dominiek Reynaerts, Jan Deprest, Sébastien Ourselin, Adrien E. Desjardins, Tom Vercauteren, Emmanuel B. Vander Poorten:
Haptic Guidance Based on All-Optical Ultrasound Distance Sensing for Safer Minimally Invasive Fetal Surgery. J. Medical Robotics Res. 3(3-4): 1841001:1-1841001:19 (2018) - [j105]Jonas Pichat, Juan Eugenio Iglesias, Tarek A. Yousry, Sébastien Ourselin, Marc Modat:
A Survey of Methods for 3D Histology Reconstruction. Medical Image Anal. 46: 73-105 (2018) - [j104]Yipeng Hu, Marc Modat, Eli Gibson, Wenqi Li, Nooshin Ghavami, Ester Bonmati, Guotai Wang, Steven Bandula, Caroline M. Moore, Mark Emberton, Sébastien Ourselin, J. Alison Noble, Dean C. Barratt, Tom Vercauteren:
Weakly-supervised convolutional neural networks for multimodal image registration. Medical Image Anal. 49: 1-13 (2018) - [j103]Juan Eugenio Iglesias, Marc Modat, Loïc Peter, Allison Stevens, Roberto Annunziata, Tom Vercauteren, Ed S. Lein, Bruce Fischl, Sébastien Ourselin:
Joint registration and synthesis using a probabilistic model for alignment of MRI and histological sections. Medical Image Anal. 50: 127-144 (2018) - [j102]Michael Ebner, Karen K. Chung, Ferran Prados, M. Jorge Cardoso, Declan T. Chard, Tom Vercauteren, Sébastien Ourselin:
Volumetric reconstruction from printed films: Enabling 30 year longitudinal analysis in MR neuroimaging. NeuroImage 165: 238-250 (2018) - [j101]Pawel J. Markiewicz, Matthias J. Ehrhardt, Kjell Erlandsson, Philip J. Noonan, Anna Barnes, Jonathan M. Schott, David Atkinson, Simon R. Arridge, Brian F. Hutton, Sébastien Ourselin:
NiftyPET: a High-throughput Software Platform for High Quantitative Accuracy and Precision PET Imaging and Analysis. Neuroinformatics 16(1): 95-115 (2018) - [j100]Marco Lorenzi, André Altmann, Boris Gutman, Selina Wray, Charles Arber, Derrek P. Hibar, Neda Jahanshad, Jonathan M. Schott, Daniel C. Alexander, Paul M. Thompson, Sébastien Ourselin:
Susceptibility of brain atrophy to TRIB3 in Alzheimer's disease, evidence from functional prioritization in imaging genetics. Proc. Natl. Acad. Sci. USA 115(12): 3162-3167 (2018) - [j99]Francisco Vasconcelos, Evangelos B. Mazomenos, John D. Kelly, Sébastien Ourselin, Danail Stoyanov:
Relative Pose Estimation From Image Correspondences Under a Remote Center of Motion Constraint. IEEE Robotics Autom. Lett. 3(3): 2654-2661 (2018) - [j98]Julie Legrand, Mouloud Ourak, Allan Javaux, Caspar Gruijthuijsen, Mirza Awais Ahmad, Ben Van Cleynenbreugel, Tom Vercauteren, Jan Deprest, Sébastien Ourselin, Emmanuel B. Vander Poorten:
From a Disposable Ureteroscope to an Active Lightweight Fetoscope - Characterization and Usability Evaluation. IEEE Robotics Autom. Lett. 3(4): 4359-4366 (2018) - [j97]Wenfeng Xia, Mithun Kuniyil Ajith Singh, Efthymios Maneas, Naoto Sato, Yusuke Shigeta, Toshitaka Agano, Sébastien Ourselin, Simeon J. West, Adrien E. Desjardins:
Handheld Real-Time LED-Based Photoacoustic and Ultrasound Imaging System for Accurate Visualization of Clinical Metal Needles and Superficial Vasculature to Guide Minimally Invasive Procedures. Sensors 18(5): 1394 (2018) - [j96]Max Allan, Sébastien Ourselin, David J. Hawkes, John D. Kelly, Danail Stoyanov:
3-D Pose Estimation of Articulated Instruments in Robotic Minimally Invasive Surgery. IEEE Trans. Medical Imaging 37(5): 1204-1213 (2018) - [j95]Xiaofei Du, Thomas Kurmann, Ping-Lin Chang, Maximilian Allan, Sébastien Ourselin, Raphael Sznitman, John D. Kelly, Danail Stoyanov:
Articulated Multi-Instrument 2-D Pose Estimation Using Fully Convolutional Networks. IEEE Trans. Medical Imaging 37(5): 1276-1287 (2018) - [j94]Andreas Hauptmann, Felix Lucka, Marta M. Betcke, Nam Huynh, Jonas Adler, Ben T. Cox, Paul C. Beard, Sébastien Ourselin, Simon R. Arridge:
Model-Based Learning for Accelerated, Limited-View 3-D Photoacoustic Tomography. IEEE Trans. Medical Imaging 37(6): 1382-1393 (2018) - [j93]Guotai Wang, Wenqi Li, Maria A. Zuluaga, Rosalind Pratt, Premal A. Patel, Michael Aertsen, Tom Doel, Anna L. David, Jan Deprest, Sébastien Ourselin, Tom Vercauteren:
Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning. IEEE Trans. Medical Imaging 37(7): 1562-1573 (2018) - [c236]Zisos Mitros, Mohsen Khadem, Carlo Seneci, Sébastien Ourselin, Lyndon Da Cruz, Christos Bergeles:
Towards Modelling Multi-Arm Robots: Eccentric Arrangement of Concentric Tubes. BioRob 2018: 43-48 - [c235]Anestis Mablekos-Alexiou, Sébastien Ourselin, Lyndon Da Cruz, Christos Bergeles:
Requirements Based Design and End-to-End Dynamic Modeling of a Robotic Tool for Vitreoretinal Surgery. ICRA 2018: 135-141 - [c234]Michael Ebner, Marc Modat, Sebastiano Ferraris, Sébastien Ourselin, Tom Vercauteren:
Forward-backward splitting in deformable image registration: A demons approach. ISBI 2018: 1065-1069 - [c233]Liane S. Canas, Benjamin C. Yvernault, David M. Cash, Erika Molteni, Tom Veale, Tammie L. S. Benzinger, Sébastien Ourselin, Simon Mead, Marc Modat:
Gaussian Processes with optimal kernel construction for neuro-degenerative clinical onset prediction. Computer-Aided Diagnosis 2018: 105750G - [c232]Felix J. S. Bragman, Ryutaro Tanno, Zach Eaton-Rosen, Wenqi Li, David J. Hawkes, Sébastien Ourselin, Daniel C. Alexander, Jamie R. McClelland, M. Jorge Cardoso:
Uncertainty in Multitask Learning: Joint Representations for Probabilistic MR-only Radiotherapy Planning. MICCAI (4) 2018: 3-11 - [c231]David Owen, Andrew Melbourne, Zach Eaton-Rosen, David L. Thomas, Neil Marlow, Jonathan D. Rohrer, Sébastien Ourselin:
Deep Convolutional Filtering for Spatio-Temporal Denoising and Artifact Removal in Arterial Spin Labelling MRI. MICCAI (1) 2018: 21-29 - [c230]Catherine J. Scott, Jieqing Jiao, M. Jorge Cardoso, Kerstin Kläser, Andrew Melbourne, Pawel J. Markiewicz, Jonathan M. Schott, Brian F. Hutton, Sébastien Ourselin:
Short Acquisition Time PET/MR Pharmacokinetic Modelling Using CNNs. MICCAI (1) 2018: 48-56 - [c229]Kerstin Kläser, Pawel Markiewicz, Marta Bianca Maria Ranzini, Wenqi Li, Marc Modat, Brian F. Hutton, David Atkinson, Kris Thielemans, M. Jorge Cardoso, Sébastien Ourselin:
Deep Boosted Regression for MR to CT Synthesis. SASHIMI@MICCAI 2018: 61-70 - [c228]Guotai Wang, Wenqi Li, Sébastien Ourselin, Tom Vercauteren:
Automatic Brain Tumor Segmentation Using Convolutional Neural Networks with Test-Time Augmentation. BrainLes@MICCAI (2) 2018: 61-72 - [c227]Stephen Morrell, Zbigniew Wojna, Can Son Khoo, Sébastien Ourselin, Juan Eugenio Iglesias:
Large-Scale Mammography CAD with Deformable Conv-Nets. RAMBO+BIA+TIA@MICCAI 2018: 64-72 - [c226]David Drobny, Tom Vercauteren, Sébastien Ourselin, Marc Modat:
Registration of MRI and iUS Data to Compensate Brain Shift Using a Symmetric Block-Matching Based Approach. POCUS/BIVPCS/CuRIOUS/CPM@MICCAI 2018: 172-178 - [c225]Michael Hütel, Andrew Melbourne, Sébastien Ourselin:
Neural Activation Estimation in Brain Networks During Task and Rest Using BOLD-fMRI. MICCAI (3) 2018: 215-222 - [c224]Alessia Atzeni, Marnix Jansen, Sébastien Ourselin, Juan Eugenio Iglesias:
A Probabilistic Model Combining Deep Learning and Multi-atlas Segmentation for Semi-automated Labelling of Histology. MICCAI (2) 2018: 219-227 - [c223]Alejandro Granados, Matteo Mancini, Sjoerd B. Vos, Oeslle Lucena, Vejay Vakharia, Roman Rodionov, Anna Miserocchi, Andrew W. McEvoy, John S. Duncan, Rachel Sparks, Sébastien Ourselin:
A Machine Learning Approach to Predict Instrument Bending in Stereotactic Neurosurgery. MICCAI (4) 2018: 238-246 - [c222]Michael Hütel, Andrew Melbourne, David L. Thomas, Sébastien Ourselin:
Cardiac Cycle Estimation for BOLD-fMRI. MICCAI (3) 2018: 267-274 - [c221]Michael Ebner, Guotai Wang, Wenqi Li, Michael Aertsen, Premal A. Patel, Rosalind Aughwane, Andrew Melbourne, Tom Doel, Anna L. David, Jan Deprest, Sébastien Ourselin, Tom Vercauteren:
An Automated Localization, Segmentation and Reconstruction Framework for Fetal Brain MRI. MICCAI (1) 2018: 313-320 - [c220]Carla Semedo, M. Jorge Cardoso, Sjoerd B. Vos, Carole H. Sudre, Martina Bocchetta, Annemie Ribbens, Dirk Smeets, Jonathan D. Rohrer, Sébastien Ourselin:
Thalamic Nuclei Segmentation Using Tractography, Population-Specific Priors and Local Fibre Orientation. MICCAI (3) 2018: 383-391 - [c219]Konstantinos Georgiadis, Alexandra L. Young, Michael Hütel, Adeel Razi, Carla Semedo, Jonathan M. Schott, Sébastien Ourselin, Jason D. Warren, Marc Modat:
Computational Modelling of Pathogenic Protein Behaviour-Governing Mechanisms in the Brain. MICCAI (3) 2018: 532-539 - [c218]Zach Eaton-Rosen, Felix J. S. Bragman, Sotirios Bisdas, Sébastien Ourselin, M. Jorge Cardoso:
Towards Safe Deep Learning: Accurately Quantifying Biomarker Uncertainty in Neural Network Predictions. MICCAI (1) 2018: 691-699 - [c217]Stefano Moriconi, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Elastic Registration of Geodesic Vascular Graphs. MICCAI (1) 2018: 810-818 - [c216]Rosalind Aughwane, Magdalena J. Sokolska, Alan Bainbridge, David Atkinson, Giles S. Kendall, Jan Deprest, Tom Vercauteren, Anna L. David, Sébastien Ourselin, Andrew Melbourne:
MRI Measurement of Placental Perfusion and Fetal Blood Oxygen Saturation in Normal Pregnancy and Placental Insufficiency. MICCAI (2) 2018: 913-920 - [c215]Marcel Tella-Amo, Loïc Peter, Dzhoshkun I. Shakir, Jan Deprest, Danail Stoyanov, Juan Eugenio Iglesias, Tom Vercauteren, Sébastien Ourselin:
Technical note: probabilistic visual and electromagnetic data fusion for robust drift-free sequential mosaicking. Application to fetoscopy. Image-Guided Procedures 2018: 105760I - [c214]Jyotirmoy Banerjee, Premal A. Patel, Fred Ushakov, Donald Peebles, Jan Deprest, Sébastien Ourselin, David J. Hawkes, Tom Vercauteren:
A log-Euclidean and total variation based variational framework for computational sonography. Image Processing 2018: 105740D - [c213]Liane S. Canas, Benjamin C. Yvernault, Carole H. Sudre, Enrico De Vita, M. Jorge Cardoso, John S. Thornton, Frederik Barkhof, Sébastien Ourselin, Simon Mead, Marc Modat:
Imaging biomarkers for the diagnosis of Prion disease. Image Processing 2018: 1057405 - [c212]Lorenz Berger, Eoin Hyde, M. Jorge Cardoso, Sébastien Ourselin:
An Adaptive Sampling Scheme to Efficiently Train Fully Convolutional Networks for Semantic Segmentation. MIUA 2018: 277-286 - [i31]Juan Eugenio Iglesias, Marc Modat, Loïc Peter, Allison Stevens, Roberto Annunziata, Tom Vercauteren, Ed S. Lein, Bruce Fischl, Sébastien Ourselin:
Joint registration and synthesis using a probabilistic model for alignment of MRI and histological sections. CoRR abs/1801.05284 (2018) - [i30]Jyotirmoy Banerjee, Premal A. Patel, Fred Ushakov, Donald Peebles, Jan Deprest, Sébastien Ourselin, David J. Hawkes, Tom Vercauteren:
A Log-Euclidean and Total Variation based Variational Framework for Computational Sonography. CoRR abs/1802.02088 (2018) - [i29]Loïc Peter, Marcel Tella-Amo, Dzhoshkun Ismail Shakir, George Attilakos, Ruwan Wimalasundera, Jan Deprest, Sébastien Ourselin, Tom Vercauteren:
Retrieval and Registration of Long-Range Overlapping Frames for Scalable Mosaicking of In Vivo Fetoscopy. CoRR abs/1802.10554 (2018) - [i28]Luis C. García-Peraza-Herrera, Martin Everson, Wenqi Li, Inmanol Luengo, Lorenz Berger, Omer F. Ahmad, Laurence B. Lovat, Hsiu-Po Wang, Wen-Lun Wang, Rehan J. Haidry, Danail Stoyanov, Tom Vercauteren, Sébastien Ourselin:
Interpretable Fully Convolutional Classification of Intrapapillary Capillary Loops for Real-Time Detection of Early Squamous Neoplasia. CoRR abs/1805.00632 (2018) - [i27]Sebastian Bodenstedt, Max Allan, Anthony Agustinos, Xiaofei Du, Luis C. García-Peraza-Herrera, Hannes Kenngott, Thomas Kurmann, Beat P. Müller-Stich, Sébastien Ourselin, Daniil Pakhomov, Raphael Sznitman, Marvin Teichmann, Martin Thoma, Tom Vercauteren, Sandrine Voros, Martin Wagner, Pamela Wochner, Lena Maier-Hein, Danail Stoyanov, Stefanie Speidel:
Comparative evaluation of instrument segmentation and tracking methods in minimally invasive surgery. CoRR abs/1805.02475 (2018) - [i26]Stefano Moriconi, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
VTrails: Inferring Vessels with Geodesic Connectivity Trees. CoRR abs/1806.03111 (2018) - [i25]Lorenz Berger, Eoin Hyde, Matt Gibb, Nevil Pavithran, Faiz Mumtaz, Sébastien Ourselin:
Boosted Training of Convolutional Neural Networks for Multi-Class Segmentation. CoRR abs/1806.05974 (2018) - [i24]Felix J. S. Bragman, Ryutaro Tanno, Zach Eaton-Rosen, Wenqi Li, David J. Hawkes, Sébastien Ourselin, Daniel C. Alexander, Jamie R. McClelland, M. Jorge Cardoso:
Uncertainty in multitask learning: joint representations for probabilistic MR-only radiotherapy planning. CoRR abs/1806.06595 (2018) - [i23]Zach Eaton-Rosen, Felix J. S. Bragman, Sotirios Bisdas, Sébastien Ourselin, M. Jorge Cardoso:
Towards safe deep learning: accurately quantifying biomarker uncertainty in neural network predictions. CoRR abs/1806.08640 (2018) - [i22]Yipeng Hu, Marc Modat, Eli Gibson, Wenqi Li, Nooshin Ghavami, Ester Bonmati, Guotai Wang, Steven Bandula, Caroline M. Moore, Mark Emberton, Sébastien Ourselin, J. Alison Noble, Dean C. Barratt, Tom Vercauteren:
Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration. CoRR abs/1807.03361 (2018) - [i21]Guotai Wang, Wenqi Li, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren:
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks. CoRR abs/1807.07356 (2018) - [i20]Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen:
Robust training of recurrent neural networks to handle missing data for disease progression modeling. CoRR abs/1808.05500 (2018) - [i19]Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Sørensen, Marc Modat, Sébastien Ourselin, Mads Nielsen, Akshay Pai:
Simultaneous synthesis of FLAIR and segmentation of white matter hypointensities from T1 MRIs. CoRR abs/1808.06519 (2018) - [i18]Kerstin Kläser, Pawel Markiewicz, Marta Bianca Maria Ranzini, Wenqi Li, Marc Modat, Brian F. Hutton, David Atkinson, Kris Thielemans, M. Jorge Cardoso, Sébastien Ourselin:
Deep Boosted Regression for MR to CT Synthesis. CoRR abs/1808.07431 (2018) - [i17]Stefano Moriconi, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Elastic Registration of Geodesic Vascular Graphs. CoRR abs/1809.05499 (2018) - [i16]Mauricio Orbes-Arteaga, Lauge Sørensen, Manuel Jorge Cardoso, Marc Modat, Sébastien Ourselin, Stefan Sommer, Mads Nielsen, Christian Igel, Akshay Pai:
PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation. CoRR abs/1810.01928 (2018) - [i15]Guotai Wang, Wenqi Li, Sébastien Ourselin, Tom Vercauteren:
Automatic Brain Tumor Segmentation using Convolutional Neural Networks with Test-Time Augmentation. CoRR abs/1810.07884 (2018) - 2017
- [j92]Rachel Sparks, Gergely Zombori, Roman Rodionov, Mark Nowell, Sjoerd B. Vos, Maria A. Zuluaga, Beate Diehl, Tim Wehner, Anna Miserocchi, Andrew W. McEvoy, John S. Duncan, Sébastien Ourselin:
Automated multiple trajectory planning algorithm for the placement of stereo-electroencephalography (SEEG) electrodes in epilepsy treatment. Int. J. Comput. Assist. Radiol. Surg. 12(1): 123-136 (2017) - [j91]Sébastien Ourselin, Mert R. Sabuncu, William M. Wells III, Leo Joskowicz, Gözde B. Ünal, Andreas K. Maier:
Guest editorial of the IJCARS MICCAI 2016 special issue. Int. J. Comput. Assist. Radiol. Surg. 12(8): 1243-1244 (2017) - [j90]Rachel Sparks, Vejay Vakharia, Roman Rodionov, Sjoerd B. Vos, Beate Diehl, Tim Wehner, Anna Miserocchi, Andrew W. McEvoy, John S. Duncan, Sébastien Ourselin:
Anatomy-driven multiple trajectory planning (ADMTP) of intracranial electrodes for epilepsy surgery. Int. J. Comput. Assist. Radiol. Surg. 12(8): 1245-1255 (2017) - [j89]Tom Doel, Dzhoshkun I. Shakir, Rosalind Pratt, Michael Aertsen, James Moggridge, Erwin Bellon, Anna L. David, Jan Deprest, Tom Vercauteren, Sébastien Ourselin:
GIFT-Cloud: A data sharing and collaboration platform for medical imaging research. Comput. Methods Programs Biomed. 139: 181-190 (2017) - [j88]Holly E. Holmes, Nick M. Powell, Da Ma, Ozama Ismail, Ian F. Harrison, Jack A. Wells, Niall Colgan, James M. O'Callaghan, Ross A. Johnson, Tracey K. Murray, Zeshan Ahmed, Morten Heggenes, Alice Fisher, M. Jorge Cardoso, Marc Modat, Michael J. O'Neill, Emily C. Collins, Elizabeth M. C. Fisher, Sébastien Ourselin, Mark F. Lythgoe:
Comparison of In Vivo and Ex Vivo MRI for the Detection of Structural Abnormalities in a Mouse Model of Tauopathy. Frontiers Neuroinformatics 11: 20 (2017) - [j87]Carole H. Sudre, Manuel Jorge Cardoso, Sébastien Ourselin:
Longitudinal segmentation of age-related white matter hyperintensities. Medical Image Anal. 38: 50-64 (2017) - [j86]Sébastien Ourselin, Mert R. Sabuncu, William M. Wells III, Leo Joskowicz, Gözde B. Ünal, Andreas K. Maier:
The 19th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2016). Medical Image Anal. 41: 1 (2017) - [j85]Claes Nøhr Ladefoged, Ian Law, Udunna Anazodo, Keith St. Lawrence, David Izquierdo-Garcia, Ciprian Catana, Ninon Burgos, M. Jorge Cardoso, Sébastien Ourselin, Brian F. Hutton, Inés Mérida, Nicolas Costes, Alexander Hammers, Didier Benoit, Søren Holm, Meher R. Juttukonda, Hongyu An, Jorge Cabello, Mathias Lukas, Stephan G. Nekolla, Sibylle Ziegler, Matthias Fenchel, Bjoern Jakoby, Michael E. Casey, Tammie L. S. Benzinger, Liselotte Højgaard, Adam Espe Hansen, Flemming Littrup Andersen:
A multi-centre evaluation of eleven clinically feasible brain PET/MRI attenuation correction techniques using a large cohort of patients. NeuroImage 147: 346-359 (2017) - [j84]Aaron Carass, Snehashis Roy, Amod Jog, Jennifer L. Cuzzocreo, Elizabeth M. Sweeney, Adrian Gherman, Julia Button, James Nguyen, Ferran Prados, Carole H. Sudre, Manuel Jorge Cardoso, Niamh Cawley, Olga Ciccarelli, Claudia A. M. Wheeler-Kingshott, Sébastien Ourselin, Laurence Catanese, Hrishikesh Deshpande, Pierre Maurel, Olivier Commowick, Christian Barillot, Xavier Tomas-Fernandez:
Longitudinal multiple sclerosis lesion segmentation: Resource and challenge. NeuroImage 148: 77-102 (2017) - [j83]Ferran Prados, John Ashburner, Claudia Blaiotta, Tom Brosch, Julio Carballido-Gamio, Manuel Jorge Cardoso, Benjamin N. Conrad, Esha Datta, Gergely Dávid, Benjamin De Leener, Sara M. Dupont, Patrick Freund, Claudia A. M. Gandini Wheeler-Kingshott, Francesco Grussu, Roland G. Henry, Bennett A. Landman, Emil Ljungberg, Bailey Lyttle, Sébastien Ourselin, Nico Papinutto, Salvatore Saporito, Regina Schlaeger, Seth A. Smith, Paul E. Summers, Roger C. Tam, Marios C. Yiannakas, Alyssa H. Zhu, Julien Cohen-Adad:
Spinal cord grey matter segmentation challenge. NeuroImage 152: 312-329 (2017) - [j82]Zach Eaton-Rosen, Benoît Scherrer, Andrew Melbourne, Sébastien Ourselin, Jeffrey J. Neil, Simon K. Warfield:
Investigating the maturation of microstructure and radial orientation in the preterm human cortex with diffusion MRI. NeuroImage 162: 65-72 (2017) - [j81]George Dwyer, François Chadebecq, Marcel Tella-Amo, Christos Bergeles, Efthymios Maneas, Vijay Pawar, Emmanuel B. Vander Poorten, Jan Deprest, Sébastien Ourselin, Paolo De Coppi, Tom Vercauteren, Danail Stoyanov:
A Continuum Robot and Control Interface for Surgical Assist in Fetoscopic Interventions. IEEE Robotics Autom. Lett. 2(3): 1656-1663 (2017) - [j80]Jieqing Jiao, Alexandre Bousse, Kris Thielemans, Ninon Burgos, Philip S. J. Weston, Jonathan M. Schott, David Atkinson, Simon R. Arridge, Brian F. Hutton, Pawel Markiewicz, Sébastien Ourselin:
Direct Parametric Reconstruction With Joint Motion Estimation/Correction for Dynamic Brain PET Data. IEEE Trans. Medical Imaging 36(1): 203-213 (2017) - [c211]Sotiris Nousias, François Chadebecq, Jonas Pichat, Pearse A. Keane, Sébastien Ourselin, Christos Bergeles:
Corner-Based Geometric Calibration of Multi-focus Plenoptic Cameras. ICCV 2017: 957-965 - [c210]François Chadebecq, Francisco Vasconcelos, George Dwyer, Rene M. Lacher, Sébastien Ourselin, Tom Vercauteren, Danail Stoyanov:
Refractive Structure-from-Motion Through a Flat Refractive Interface. ICCV 2017: 5325-5333 - [c209]Wenqi Li, Guotai Wang, Lucas Fidon, Sébastien Ourselin, M. Jorge Cardoso, Tom Vercauteren:
On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task. IPMI 2017: 348-360 - [c208]Stefano Moriconi, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
VTrails: Inferring Vessels with Geodesic Connectivity Trees. IPMI 2017: 672-684 - [c207]Allan Javaux, Laure Esteveny, David Bouget, Caspar Gruijthuijsen, Danail Stoyanov, Tom Vercauteren, Sébastien Ourselin, Dominiek Reynaerts, Kathleen Denis, Jan Deprest, Emmanuel B. Vander Poorten:
Body wall force sensor for simulated minimally invasive surgery: Application to fetal surgery. IROS 2017: 145-152 - [c206]Luis C. García-Peraza-Herrera, Wenqi Li, Lucas Fidon, Caspar Gruijthuijsen, Alain Devreker, George Attilakos, Jan Deprest, Emmanuel B. Vander Poorten, Danail Stoyanov, Tom Vercauteren, Sébastien Ourselin:
ToolNet: Holistically-nested real-time segmentation of robotic surgical tools. IROS 2017: 5717-5722 - [c205]Ninon Burgos, Jorge Samper-González, Anne Bertrand, Marie Odile Habert, Sébastien Ourselin, Stanley Durrleman, M. Jorge Cardoso, Olivier Colliot:
Individual Analysis of Molecular Brain Imaging Data Through Automatic Identification of Abnormality Patterns. CMMI/RAMBO/SWITCH@MICCAI 2017: 13-22 - [c204]Lucas Fidon, Wenqi Li, Luis C. García-Peraza-Herrera, Jinendra Ekanayake, Neil Kitchen, Sébastien Ourselin, Tom Vercauteren:
Generalised Wasserstein Dice Score for Imbalanced Multi-class Segmentation Using Holistic Convolutional Networks. BrainLes@MICCAI 2017: 64-76 - [c203]Marta Bianca Maria Ranzini, Michael Ebner, M. Jorge Cardoso, Anastasia Fotiadou, Tom Vercauteren, Johann Henckel, Alister Hart, Sébastien Ourselin, Marc Modat:
Joint Multimodal Segmentation of Clinical CT and MR from Hip Arthroplasty Patients. MSKI@MICCAI 2017: 72-84 - [c202]Guotai Wang, Wenqi Li, Sébastien Ourselin, Tom Vercauteren:
Automatic Brain Tumor Segmentation Using Cascaded Anisotropic Convolutional Neural Networks. BrainLes@MICCAI 2017: 178-190 - [c201]David Owen, Andrew Melbourne, Zach Eaton-Rosen, David Thomas, Neil Marlow, Jonathan D. Rohrer, Sébastien Ourselin:
Anatomy-Driven Modelling of Spatial Correlation for Regularisation of Arterial Spin Labelling Images. MICCAI (2) 2017: 190-197 - [c200]Carole H. Sudre, Wenqi Li, Tom Vercauteren, Sébastien Ourselin, M. Jorge Cardoso:
Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations. DLMIA/ML-CDS@MICCAI 2017: 240-248 - [c199]Lucas Fidon, Wenqi Li, Luis C. García-Peraza-Herrera, Jinendra Ekanayake, Neil Kitchen, Sébastien Ourselin, Tom Vercauteren:
Scalable Multimodal Convolutional Networks for Brain Tumour Segmentation. MICCAI (3) 2017: 285-293 - [c198]Wenfeng Xia, Sacha Noimark, Sébastien Ourselin, Simeon J. West, Malcolm C. Finlay, Anna L. David, Adrien E. Desjardins:
Ultrasonic Needle Tracking with a Fibre-Optic Ultrasound Transmitter for Guidance of Minimally Invasive Fetal Surgery. MICCAI (2) 2017: 637-645 - [c197]Catherine J. Scott, Jieqing Jiao, M. Jorge Cardoso, Andrew Melbourne, Enrico De Vita, David Thomas, Ninon Burgos, Pawel Markiewicz, Jonathan M. Schott, Brian F. Hutton, Sébastien Ourselin:
Short Acquisition Time PET Quantification Using MRI-Based Pharmacokinetic Parameter Synthesis. MICCAI (2) 2017: 737-744 - [c196]Stephen A. Thompson, Yannic Meuer, Eddie Edwards, João Ramalhinho, Maria Ruxandra Robu, Danail Stoyanov, Sébastien Ourselin, Brian R. Davidson, David J. Hawkes, Matthew J. Clarkson:
On pattern selection for laparoscope calibration. Image-Guided Procedures 2017: 101351W - [i14]Jieqing Jiao, Sébastien Ourselin:
Fast PET reconstruction using Multi-scale Fully Convolutional Neural Networks. CoRR abs/1704.07244 (2017) - [i13]Lucas Fidon, Wenqi Li, Luis C. García-Peraza-Herrera, Jinendra Ekanayake, Neil Kitchen, Sébastien Ourselin, Tom Vercauteren:
Scalable multimodal convolutional networks for brain tumour segmentation. CoRR abs/1706.08124 (2017) - [i12]Luis C. García-Peraza-Herrera, Wenqi Li, Lucas Fidon, Caspar Gruijthuijsen, Alain Devreker, George Attilakos, Jan Deprest, Emmanuel B. Vander Poorten, Danail Stoyanov, Tom Vercauteren, Sébastien Ourselin:
ToolNet: Holistically-Nested Real-Time Segmentation of Robotic Surgical Tools. CoRR abs/1706.08126 (2017) - [i11]Lucas Fidon, Wenqi Li, Luis C. García-Peraza-Herrera, Jinendra Ekanayake, Neil Kitchen, Sébastien Ourselin, Tom Vercauteren:
Generalised Wasserstein Dice Score for Imbalanced Multi-class Segmentation using Holistic Convolutional Networks. CoRR abs/1707.00478 (2017) - [i10]Guotai Wang, Maria A. Zuluaga, Wenqi Li, Rosalind Pratt, Premal A. Patel, Michael Aertsen, Tom Doel, Anna L. David, Jan Deprest, Sébastien Ourselin, Tom Vercauteren:
DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation. CoRR abs/1707.00652 (2017) - [i9]Wenqi Li, Guotai Wang, Lucas Fidon, Sébastien Ourselin, M. Jorge Cardoso, Tom Vercauteren:
On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task. CoRR abs/1707.01992 (2017) - [i8]Carole H. Sudre, Wenqi Li, Tom Vercauteren, Sébastien Ourselin, M. Jorge Cardoso:
Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations. CoRR abs/1707.03237 (2017) - [i7]Jonas Pichat, Juan Eugenio Iglesias, Sotiris Nousias, Tarek A. Yousry, Sébastien Ourselin, Marc Modat:
Part-to-whole Registration of Histology and MRI using Shape Elements. CoRR abs/1708.08117 (2017) - [i6]Andreas Hauptmann, Felix Lucka, Marta M. Betcke, Nam Huynh, Ben T. Cox, Paul C. Beard, Sébastien Ourselin, Simon R. Arridge:
Model based learning for accelerated, limited-view 3D photoacoustic tomography. CoRR abs/1708.09832 (2017) - [i5]Guotai Wang, Wenqi Li, Sébastien Ourselin, Tom Vercauteren:
Automatic Brain Tumor Segmentation using Cascaded Anisotropic Convolutional Neural Networks. CoRR abs/1709.00382 (2017) - [i4]Lorenz Berger, Eoin Hyde, M. Jorge Cardoso, Sébastien Ourselin:
An Adaptive Sampling Scheme to Efficiently Train Fully Convolutional Networks for Semantic Segmentation. CoRR abs/1709.02764 (2017) - [i3]Eli Gibson, Wenqi Li, Carole H. Sudre, Lucas Fidon, Dzhoshkun I. Shakir, Guotai Wang, Zach Eaton-Rosen, Robert J. Gray, Tom Doel, Yipeng Hu, Tom Whyntie, Parashkev Nachev, Dean C. Barratt, Sébastien Ourselin, M. Jorge Cardoso, Tom Vercauteren:
NiftyNet: a deep-learning platform for medical imaging. CoRR abs/1709.03485 (2017) - [i2]Guotai Wang, Wenqi Li, Maria A. Zuluaga, Rosalind Pratt, Premal A. Patel, Michael Aertsen, Tom Doel, Anna L. David, Jan Deprest, Sébastien Ourselin, Tom Vercauteren:
Interactive Medical Image Segmentation using Deep Learning with Image-specific Fine-tuning. CoRR abs/1710.04043 (2017) - 2016
- [j79]Stephen A. Thompson, Danail Stoyanov, Crispin Schneider, Kurinchi Gurusamy, Sébastien Ourselin, Brian R. Davidson, David J. Hawkes, Matthew J. Clarkson:
Hand-eye calibration for rigid laparoscopes using an invariant point. Int. J. Comput. Assist. Radiol. Surg. 11(6): 1071-1080 (2016) - [j78]Francisco Vasconcelos, Donald Peebles, Sébastien Ourselin, Danail Stoyanov:
Spatial calibration of a 2D/3D ultrasound using a tracked needle. Int. J. Comput. Assist. Radiol. Surg. 11(6): 1091-1099 (2016) - [j77]Xiaofei Du, Maximilian Allan, Alessio Dore, Sébastien Ourselin, David J. Hawkes, John D. Kelly, Danail Stoyanov:
Combined 2D and 3D tracking of surgical instruments for minimally invasive and robotic-assisted surgery. Int. J. Comput. Assist. Radiol. Surg. 11(6): 1109-1119 (2016) - [j76]Sébastien Ourselin, Mark Emberton, Tom Vercauteren:
From computer-assisted intervention research to clinical impact: The need for a holistic approach. Medical Image Anal. 33: 72-78 (2016) - [j75]Guotai Wang, Maria A. Zuluaga, Rosalind Pratt, Michael Aertsen, Tom Doel, Maria Klusmann, Anna L. David, Jan Deprest, Tom Vercauteren, Sébastien Ourselin:
Slic-Seg: A minimally interactive segmentation of the placenta from sparse and motion-corrupted fetal MRI in multiple views. Medical Image Anal. 34: 137-147 (2016) - [j74]Ferran Prados, Manuel Jorge Cardoso, Baris Kanber, Olga Ciccarelli, Raju Kapoor, Claudia A. M. Wheeler-Kingshott, Sébastien Ourselin:
A multi-time-point modality-agnostic patch-based method for lesion filling in multiple sclerosis. NeuroImage 139: 376-384 (2016) - [j73]Andrew Melbourne, Nicolas Toussaint, David Owen, Ivor J. A. Simpson, Thanasis Anthopoulos, Enrico De Vita, David Atkinson, Sébastien Ourselin:
NiftyFit: a Software Package for Multi-parametric Model-Fitting of 4D Magnetic Resonance Imaging Data. Neuroinformatics 14(3): 319-337 (2016) - [j72]Zhoubing Xu, Christopher P. Lee, Mattias P. Heinrich, Marc Modat, Daniel Rueckert, Sébastien Ourselin, Richard G. Abramson, Bennett A. Landman:
Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT. IEEE Trans. Biomed. Eng. 63(8): 1563-1572 (2016) - [j71]Alexandre Bousse, Ottavia Bertolli, David Atkinson, Simon R. Arridge, Sébastien Ourselin, Brian F. Hutton, Kris Thielemans:
Maximum-Likelihood Joint Image Reconstruction/Motion Estimation in Attenuation-Corrected Respiratory Gated PET/CT Using a Single Attenuation Map. IEEE Trans. Medical Imaging 35(1): 217-228 (2016) - [j70]Matthias J. Ehrhardt, Pawel Markiewicz, Maria Liljeroth, Anna Barnes, Ville Kolehmainen, John S. Duncan, Luis Pizarro, David Atkinson, Brian F. Hutton, Sébastien Ourselin, Kris Thielemans, Simon R. Arridge:
PET Reconstruction With an Anatomical MRI Prior Using Parallel Level Sets. IEEE Trans. Medical Imaging 35(9): 2189-2199 (2016) - [c195]Marcel Tella-Amo, Pankaj Daga, François Chadebecq, Stephen A. Thompson, Dzhoshkun I. Shakir, George Dwyer, Ruwan Wimalasundera, Jan Deprest, Danail Stoyanov, Tom Vercauteren, Sébastien Ourselin:
A Combined EM and Visual Tracking Probabilistic Model for Robust Mosaicking: Application to Fetoscopy. CVPR Workshops 2016: 524-532 - [c194]Francisco Vasconcelos, Donald Peebles, Sébastien Ourselin, Danail Stoyanov:
Similarity Registration Problems for 2D/3D Ultrasound Calibration. ECCV (6) 2016: 171-187 - [c193]Marco Lorenzi, Boris Gutman, Derrek P. Hibar, André Altmann, Neda Jahanshad, Paul M. Thompson, Sébastien Ourselin:
Partial least squares modelling for imaging-genetics in Alzheimer's disease: Plausibility and generalization. ISBI 2016: 838-841 - [c192]Dengqiang Jia, Wenzhe Shi, Daniel Rueckert, Liu Liu, Sébastien Ourselin, Xiahai Zhuang:
A Multi-resolution Multi-model Method for Coronary Centerline Extraction Based on Minimal Path. MIAR 2016: 320-328 - [c191]Michael Ebner, Manil Chouhan, Premal A. Patel, David Atkinson, Zahir Amin, Samantha Read, Shonit Punwani, Stuart Taylor, Tom Vercauteren, Sébastien Ourselin:
Point-Spread-Function-Aware Slice-to-Volume Registration: Application to Upper Abdominal MRI Super-Resolution. RAMBO+HVSMR@MICCAI 2016: 3-13 - [c190]Ferran Prados, M. Jorge Cardoso, Niamh Cawley, Baris Kanber, Olga Ciccarelli, Claudia A. M. Wheeler-Kingshott, Sébastien Ourselin:
Fully Automated Patch-Based Image Restoration: Application to Pathology Inpainting. BrainLes@MICCAI 2016: 3-15 - [c189]Claire Cury, Marco Lorenzi, David M. Cash, Jennifer M. Nicholas, Alexandre Routier, Jonathan D. Rohrer, Sébastien Ourselin, Stanley Durrleman, Marc Modat:
Spatio-Temporal Shape Analysis of Cross-Sectional Data for Detection of Early Changes in Neurodegenerative Disease. SeSAMI@MICCAI 2016: 63-75 - [c188]Martin Kochan, Marc Modat, Tom Vercauteren, Mark White, Laura Mancini, Gavin P. Winston, Andrew W. McEvoy, John S. Thornton, Tarek A. Yousry, John S. Duncan, Sébastien Ourselin, Danail Stoyanov:
Bilateral Weighted Adaptive Local Similarity Measure for Registration in Neurosurgery. MICCAI (3) 2016: 81-88 - [c187]Luis C. García-Peraza-Herrera, Wenqi Li, Caspar Gruijthuijsen, Alain Devreker, George Attilakos, Jan Deprest, Emmanuel B. Vander Poorten, Danail Stoyanov, Tom Vercauteren, Sébastien Ourselin:
Real-Time Segmentation of Non-rigid Surgical Tools Based on Deep Learning and Tracking. CARE@MICCAI 2016: 84-95 - [c186]Maria A. Zuluaga, Benedetta Biffi, Andrew Mayall Taylor, Silvia Schievano, Tom Vercauteren, Sébastien Ourselin:
Strengths and Pitfalls of Whole-Heart Atlas-Based Segmentation in Congenital Heart Disease Patients. RAMBO+HVSMR@MICCAI 2016: 139-146 - [c185]Eliza Orasanu, Pierre-Louis Bazin, Andrew Melbourne, Marco Lorenzi, Hervé Lombaert, Nicola J. Robertson, Giles S. Kendall, Nikolaus Weiskopf, Neil Marlow, Sébastien Ourselin:
Longitudinal Analysis of the Preterm Cortex Using Multi-modal Spectral Matching. MICCAI (1) 2016: 255-263 - [c184]Guotai Wang, Maria A. Zuluaga, Rosalind Pratt, Michael Aertsen, Tom Doel, Maria Klusmann, Anna L. David, Jan Deprest, Tom Vercauteren, Sébastien Ourselin:
Dynamically Balanced Online Random Forests for Interactive Scribble-Based Segmentation. MICCAI (2) 2016: 352-360 - [c183]Wenfeng Xia, Simeon J. West, Jean-Martial Mari, Sébastien Ourselin, Anna L. David, Adrien E. Desjardins:
3D Ultrasonic Needle Tracking with a 1.5D Transducer Array for Guidance of Fetal Interventions. MICCAI (1) 2016: 353-361 - [c182]Catherine J. Scott, Jieqing Jiao, Andrew Melbourne, Jonathan M. Schott, Brian F. Hutton, Sébastien Ourselin:
ASL-incorporated Pharmacokinetic Modelling of PET Data With Reduced Acquisition Time: Application to Amyloid Imaging. MICCAI (3) 2016: 406-413 - [c181]David Owen, Andrew Melbourne, David Thomas, Enrico De Vita, Jonathan D. Rohrer, Sébastien Ourselin:
Optimisation of Arterial Spin Labelling Using Bayesian Experimental Design. MICCAI (3) 2016: 511-518 - [c180]Rachel Sparks, Gergely Zombori, Roman Rodionov, Maria A. Zuluaga, Beate Diehl, Tim Wehner, Anna Miserocchi, Andrew W. McEvoy, John S. Duncan, Sébastien Ourselin:
Efficient Anatomy Driven Automated Multiple Trajectory Planning for Intracranial Electrode Implantation. MICCAI (1) 2016: 542-550 - [c179]Ninon Burgos, Filipa Guerreiro, Jamie McClelland, Simeon Nill, David Dearnaley, Nandita deSouza, Uwe Oelfke, Antje-Christin Knopf, Sébastien Ourselin, M. Jorge Cardoso:
Joint Segmentation and CT Synthesis for MRI-only Radiotherapy Treatment Planning. MICCAI (2) 2016: 547-555 - [c178]Zach Eaton-Rosen, Andrew Melbourne, M. Jorge Cardoso, Neil Marlow, Sébastien Ourselin:
Beyond the Resolution Limit: Diffusion Parameter Estimation in Partial Volume. MICCAI (3) 2016: 605-612 - [c177]Pankaj Daga, François Chadebecq, Dzhoshkun I. Shakir, Luis Carlos García-Peraza-Herrera, Marcel Tella, George Dwyer, Anna L. David, Jan Deprest, Danail Stoyanov, Tom Vercauteren, Sébastien Ourselin:
Real-time mosaicing of fetoscopic videos using SIFT. Image-Guided Procedures 2016: 97861R - [c176]Zach Eaton-Rosen, Manuel Jorge Cardoso, Andrew Melbourne, Eliza Orasanu, Alan Bainbridge, Giles S. Kendall, Nicola J. Robertson, Neil Marlow, Sébastien Ourselin:
Fitting parametric models of diffusion MRI in regions of partial volume. Image Processing 2016: 97843E - [c175]Angélica Maria Atehortúa Labrador, Maria A. Zuluaga, Sébastien Ourselin, Diana Giraldo, Eduardo Romero:
Automatic segmentation of 4D cardiac MR images for extraction of ventricular chambers using a spatio-temporal approach. Image Processing 2016: 978435 - [e13]Sébastien Ourselin, Leo Joskowicz, Mert R. Sabuncu, Gözde B. Ünal, William M. Wells III:
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part I. Lecture Notes in Computer Science 9900, 2016, ISBN 978-3-319-46719-1 [contents] - [e12]Sébastien Ourselin, Leo Joskowicz, Mert R. Sabuncu, Gözde B. Ünal, William M. Wells III:
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part II. Lecture Notes in Computer Science 9901, 2016, ISBN 978-3-319-46722-1 [contents] - [e11]Sébastien Ourselin, Leo Joskowicz, Mert R. Sabuncu, Gözde B. Ünal, William M. Wells III:
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part III. Lecture Notes in Computer Science 9902, 2016, ISBN 978-3-319-46725-2 [contents] - [i1]Francisco Vasconcelos, Donald Peebles, Sébastien Ourselin, Danail Stoyanov:
Similarity Registration Problems for 2D/3D Ultrasound Calibration. CoRR abs/1608.00247 (2016) - 2015
- [j69]Matthew J. Clarkson, Gergely Zombori, Steve Thompson, Johannes Totz, Yi Song, Miklos Espak, Stian Flage Johnsen, David J. Hawkes, Sébastien Ourselin:
The NifTK software platform for image-guided interventions: platform overview and NiftyLink messaging. Int. J. Comput. Assist. Radiol. Surg. 10(3): 301-316 (2015) - [j68]Stian Flage Johnsen, Zeike A. Taylor, Matthew J. Clarkson, John H. Hipwell, Marc Modat, Björn Eiben, Lianghao Han, Yipeng Hu, Thomy Mertzanidou, David J. Hawkes, Sébastien Ourselin:
NiftySim: A GPU-based nonlinear finite element package for simulation of soft tissue biomechanics. Int. J. Comput. Assist. Radiol. Surg. 10(7): 1077-1095 (2015) - [j67]Maria A. Zuluaga, Roman Rodionov, Mark Nowell, Sufyan Achhala, Gergely Zombori, Alex F. Mendelson, Manuel Jorge Cardoso, Anna Miserocchi, Andrew W. McEvoy, John S. Duncan, Sébastien Ourselin:
Stability, structure and scale: improvements in multi-modal vessel extraction for SEEG trajectory planning. Int. J. Comput. Assist. Radiol. Surg. 10(8): 1227-1237 (2015) - [j66]Martin Kochan, Pankaj Daga, Ninon Burgos, Mark White, Manuel Jorge Cardoso, Laura Mancini, Gavin P. Winston, Andrew W. McEvoy, John S. Thornton, Tarek A. Yousry, John S. Duncan, Danail Stoyanov, Sébastien Ourselin:
Simulated field maps for susceptibility artefact correction in interventional MRI. Int. J. Comput. Assist. Radiol. Surg. 10(9): 1405-1416 (2015) - [j65]Stian Flage Johnsen, Zeike A. Taylor, Lianghao Han, Yipeng Hu, Matthew J. Clarkson, David J. Hawkes, Sébastien Ourselin:
Detection and modelling of contacts in explicit finite-element simulation of soft tissue biomechanics. Int. J. Comput. Assist. Radiol. Surg. 10(11): 1873-1891 (2015) - [j64]Yi Song, Johannes Totz, Steve Thompson, Stian Flage Johnsen, Dean C. Barratt, Crispin Schneider, Kurinchi Gurusamy, Brian R. Davidson, Sébastien Ourselin, David J. Hawkes, Matthew J. Clarkson:
Locally rigid, vessel-based registration for laparoscopic liver surgery. Int. J. Comput. Assist. Radiol. Surg. 10(12): 1951-1961 (2015) - [j63]Caroline Petitjean, Maria A. Zuluaga, Wenjia Bai, Jean-Nicolas Dacher, Damien Grosgeorge, Jérôme Caudron, Su Ruan, Ismail Ben Ayed, Manuel Jorge Cardoso, Hsiang-Chou Chen, Daniel Jimenez-Carretero, María J. Ledesma-Carbayo, Christos Davatzikos, Jimit Doshi, Güray Erus, Oskar M. O. Maier, Cyrus M. S. Nambakhsh, Yangming Ou, Sébastien Ourselin, Chun-Wei Peng, Nicholas S. Peters, Terry M. Peters, Martin Rajchl, Daniel Rueckert, Andrés Santos, Wenzhe Shi, Ching-Wei Wang, Haiyan Wang, Jing Yuan:
Right ventricle segmentation from cardiac MRI: A collation study. Medical Image Anal. 19(1): 187-202 (2015) - [j62]Alexandra L. Young, Neil P. Oxtoby, Sébastien Ourselin, Jonathan M. Schott, Daniel C. Alexander:
A simulation system for biomarker evolution in neurodegenerative disease. Medical Image Anal. 26(1): 47-56 (2015) - [j61]Maria A. Zuluaga, Ninon Burgos, Alex F. Mendelson, Andrew Mayall Taylor, Sébastien Ourselin:
Voxelwise atlas rating for computer assisted diagnosis: Application to congenital heart diseases of the great arteries. Medical Image Anal. 26(1): 185-194 (2015) - [j60]Ivor J. A. Simpson, Manuel Jorge Cardoso, Marc Modat, David M. Cash, Mark W. Woolrich, Jesper L. R. Andersson, Julia A. Schnabel, Sébastien Ourselin:
Probabilistic non-linear registration with spatially adaptive regularisation. Medical Image Anal. 26(1): 203-216 (2015) - [j59]Kelvin K. Leung, Ian B. Malone, Sébastien Ourselin, Jeffrey L. Gunter, Matt A. Bernstein, Paul M. Thompson, Clifford R. Jack Jr., Michael W. Weiner, Nick C. Fox:
Effects of changing from non-accelerated to accelerated MRI for follow-up in brain atrophy measurement. NeuroImage 107: 46-53 (2015) - [j58]Jack A. Wells, James M. O'Callaghan, Holly E. Holmes, Nick M. Powell, Ross A. Johnson, Bernard Siow, F. Torrealdea, Ozama Ismail, Simon Walker-Samuel, Xavier Golay, M. Rega, Simon Richardson, Marc Modat, Manuel Jorge Cardoso, Sébastien Ourselin, Adam J. Schwarz, Zeshan Ahmed, Tracey K. Murray, Michael J. O'Neill, Emily C. Collins, Niall Colgan, Mark F. Lythgoe:
In vivo imaging of tau pathology using multi-parametric quantitative MRI. NeuroImage 111: 369-378 (2015) - [j57]Zach Eaton-Rosen, Andrew Melbourne, Eliza Orasanu, Manuel Jorge Cardoso, Marc Modat, Alan Bainbridge, Giles S. Kendall, Nicola J. Robertson, Neil Marlow, Sébastien Ourselin:
Longitudinal measurement of the developing grey matter in preterm subjects using multi-modal MRI. NeuroImage 111: 580-589 (2015) - [j56]Gabriel Ziegler, William D. Penny, Gerard R. Ridgway, Sébastien Ourselin, Karl J. Friston:
Estimating anatomical trajectories with Bayesian mixed-effects modeling. NeuroImage 121: 51-68 (2015) - [j55]David M. Cash, Chris Frost, Leonardo O. Iheme, Devrim Ünay, Melek Kandemir, Jurgen Fripp, Olivier Salvado, Pierrick Bourgeat, Martin Reuter, Bruce Fischl, Marco Lorenzi, Giovanni B. Frisoni, Xavier Pennec, Ronald K. Pierson, Jeffrey L. Gunter, Matthew L. Senjem, Clifford R. Jack Jr., Nicolas Guizard, Vladimir S. Fonov, D. Louis Collins, Marc Modat, M. Jorge Cardoso, Kelvin K. Leung, Hongzhi Wang, Sandhitsu R. Das, Paul A. Yushkevich, Ian B. Malone, Nick C. Fox, Jonathan M. Schott, Sébastien Ourselin:
Assessing atrophy measurement techniques in dementia: Results from the MIRIAD atrophy challenge. NeuroImage 123: 149-164 (2015) - [j54]Catalina Tobon-Gomez, Arjan J. Geers, Jochen Peters, Jürgen Weese, Karen Pinto, Rashed Karim, Mohammed Ammar, Abdelaziz Daoudi, Ján Margeta, Zulma L. Sandoval, Birgit Stender, Yefeng Zheng, Maria A. Zuluaga, Julián Betancur, Nicholas Ayache, Mohammed Amine Chikh, Jean-Louis Dillenseger, B. Michael Kelm, Saïd Mahmoudi, Sébastien Ourselin, Alexander Schlaefer, Tobias Schaeffter, Reza Razavi, Kawal S. Rhode:
Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets. IEEE Trans. Medical Imaging 34(7): 1460-1473 (2015) - [j53]Manuel Jorge Cardoso, Marc Modat, Robin Wolz, Andrew Melbourne, David M. Cash, Daniel Rueckert, Sébastien Ourselin:
Geodesic Information Flows: Spatially-Variant Graphs and Their Application to Segmentation and Fusion. IEEE Trans. Medical Imaging 34(9): 1976-1988 (2015) - [j52]Carole H. Sudre, Manuel Jorge Cardoso, Willem H. Bouvy, Geert Jan Biessels, Josephine Barnes, Sébastien Ourselin:
Bayesian Model Selection for Pathological Neuroimaging Data Applied to White Matter Lesion Segmentation. IEEE Trans. Medical Imaging 34(10): 2079-2102 (2015) - [c174]Marco Lorenzi, Gabriel Ziegler, Daniel C. Alexander, Sébastien Ourselin:
Modelling Non-stationary and Non-separable Spatio-Temporal Changes in Neurodegeneration via Gaussian Process Convolution. MLMMI@ICML 2015: 35-44 - [c173]Jonathan Young, Alex F. Mendelson, Manuel Jorge Cardoso, Marc Modat, John Ashburner, Sébastien Ourselin:
Improving MRI Brain Image Classification with Anatomical Regional Kernels. MLMMI@ICML 2015: 45-53 - [c172]Manuel Jorge Cardoso, Carole H. Sudre, Marc Modat, Sébastien Ourselin:
Template-Based Multimodal Joint Generative Model of Brain Data. IPMI 2015: 17-29 - [c171]Boris A. Gutman, P. Thomas Fletcher, Manuel Jorge Cardoso, Greg M. Fleishman, Marco Lorenzi, Paul M. Thompson, Sébastien Ourselin:
A Riemannian Framework for Intrinsic Comparison of Closed Genus-Zero Shapes. IPMI 2015: 205-218 - [c170]Jieqing Jiao, Pawel Markiewicz, Ninon Burgos, David Atkinson, Brian F. Hutton, Simon R. Arridge, Sébastien Ourselin:
Detail-Preserving PET Reconstruction with Sparse Image Representation and Anatomical Priors. IPMI 2015: 540-551 - [c169]Marco Lorenzi, Gabriel Ziegler, Daniel C. Alexander, Sébastien Ourselin:
Efficient Gaussian Process-Based Modelling and Prediction of Image Time Series. IPMI 2015: 626-637 - [c168]Alexandra L. Young, Neil P. Oxtoby, Jonathan Huang, Razvan V. Marinescu, Pankaj Daga, David M. Cash, Nick C. Fox, Sébastien Ourselin, Jonathan M. Schott, Daniel C. Alexander:
Multiple Orderings of Events in Disease Progression. IPMI 2015: 711-722 - [c167]Alain Devreker, Benoit Rosa, Adrien E. Desjardins, Erwin J. Alles, Luis C. García-Peraza, Efthymios Maneas, Danail Stoyanov, Anna L. David, Tom Vercauteren, Jan Deprest, Sébastien Ourselin, Dominiek Reynaerts, Emmanuel B. Vander Poorten:
Fluidic actuation for intra-operative in situ imaging. IROS 2015: 1415-1421 - [c166]Maria A. Zuluaga, Ninon Burgos, Andrew Mayall Taylor, Sébastien Ourselin:
Multi-atlas synthesis for computer assisted diagnosis: Application to cardiovascular diseases. ISBI 2015: 290-293 - [c165]Jonas Pichat, Marc Modat, Tarek A. Yousry, Sébastien Ourselin:
A multi-path approach to histology volume reconstruction. ISBI 2015: 1280-1283 - [c164]Richard Manber, David Atkinson, Kris Thielemans, Brian F. Hutton, Anna Barnes, Celia O'Meara, Simon Wan, Sébastien Ourselin, Simon R. Arridge:
Practical PET respiratory motion correction in clinical simultaneous PET/MR. ISBI 2015: 1580-1583 - [c163]Guotai Wang, Maria A. Zuluaga, Rosalind Pratt, Michael Aertsen, Anna L. David, Jan Deprest, Tom Vercauteren, Sébastien Ourselin:
Slic-Seg: Slice-by-Slice Segmentation Propagation of the Placenta in Fetal MRI Using One-Plane Scribbles and Online Learning. MICCAI (3) 2015: 29-37 - [c162]Andrew Melbourne, Zach Eaton-Rosen, David Owen, M. Jorge Cardoso, Joanne Beckmann, David Atkinson, Neil Marlow, Sébastien Ourselin:
Measuring Cortical Neurite-Dispersion and Perfusion in Preterm-Born Adolescents Using Multi-modal MRI. MICCAI (3) 2015: 72-79 - [c161]Benedetta Biffi, Maria A. Zuluaga, Sébastien Ourselin, Andrew Mayall Taylor, Silvia Schievano:
Papillary Muscle Segmentation from a Multi-atlas Database: A Feasibility Study. STACOM@MICCAI 2015: 80-89 - [c160]Max Allan, Ping-Lin Chang, Sébastien Ourselin, David J. Hawkes, Ashwin Sridhar, John D. Kelly, Danail Stoyanov:
Image Based Surgical Instrument Pose Estimation with Multi-class Labelling and Optical Flow. MICCAI (1) 2015: 331-338 - [c159]Wenfeng Xia, Efthymios Maneas, Daniil I. Nikitichev, Charles A. Mosse, Gustavo Sato dos Santos, Tom Vercauteren, Anna L. David, Jan Deprest, Sébastien Ourselin, Paul C. Beard, Adrien E. Desjardins:
Interventional Photoacoustic Imaging of the Human Placenta with Ultrasonic Tracking for Minimally Invasive Fetal Surgeries. MICCAI (1) 2015: 371-378 - [c158]Stian Flage Johnsen, Stephen A. Thompson, Matthew J. Clarkson, Marc Modat, Yi Song, Johannes Totz, Kurinchi Gurusamy, Brian R. Davidson, Zeike A. Taylor, David J. Hawkes, Sébastien Ourselin:
Database-Based Estimation of Liver Deformation under Pneumoperitoneum for Surgical Image-Guidance and Simulation. MICCAI (2) 2015: 450-458 - [c157]Gustavo Sato dos Santos, Efthymios Maneas, Daniil I. Nikitichev, Anamaria Barburas, Anna L. David, Jan Deprest, Adrien E. Desjardins, Tom Vercauteren, Sébastien Ourselin:
A Registration Approach to Endoscopic Laser Speckle Contrast Imaging for Intrauterine Visualisation of Placental Vessels. MICCAI (1) 2015: 455-462 - [c156]Ninon Burgos, Manuel Jorge Cardoso, Filipa Guerreiro, Catarina Veiga, Marc Modat, Jamie McClelland, Antje-Christin Knopf, Shonit Punwani, David Atkinson, Simon R. Arridge, Brian F. Hutton, Sébastien Ourselin:
Robust CT Synthesis for Radiotherapy Planning: Application to the Head and Neck Region. MICCAI (2) 2015: 476-484 - [c155]Da Ma, Manuel Jorge Cardoso, Maria A. Zuluaga, Marc Modat, Nick M. Powell, Frances K. Wiseman, Victor L. J. Tybulewicz, Elizabeth M. C. Fisher, Mark F. Lythgoe, Sébastien Ourselin:
Grey Matter Sublayer Thickness Estimation in the Mouse Cerebellum. MICCAI (3) 2015: 644-651 - [c154]Ninon Burgos, Manuel Jorge Cardoso, Alex F. Mendelson, Jonathan M. Schott, David Atkinson, Simon R. Arridge, Brian F. Hutton, Sébastien Ourselin:
Subject-specific Models for the Analysis of Pathological FDG PET Data. MICCAI (2) 2015: 651-658 - [c153]Manuel Jorge Cardoso, Marc Modat, Tom Vercauteren, Sébastien Ourselin:
Scale Factor Point Spread Function Matching: Beyond Aliasing in Image Resampling. MICCAI (2) 2015: 675-683 - [c152]Stephen A. Thompson, Johannes Totz, Yi Song, Stian Flage Johnsen, Danail Stoyanov, Sébastien Ourselin, Kurinchi Gurusamy, Crispin Schneider, Brian R. Davidson, David J. Hawkes, Matthew J. Clarkson:
Accuracy validation of an image guided laparoscopy system for liver resection. Image-Guided Procedures 2015: 941509 - [c151]Christian Klemt, Marc Modat, Jonas Pichat, Manuel Jorge Cardoso, Johann Henckel, Alister Hart, Sébastien Ourselin:
Automatic assessment of volume asymmetries applied to hip abductor muscles in patients with hip arthroplasty. Image Processing 2015: 94131M - [c150]Alex F. Mendelson, Maria A. Zuluaga, Brian F. Hutton, Sébastien Ourselin:
Bolstering Heuristics for Statistical Validation of Prediction Algorithms. PRNI 2015: 77-80 - [e10]Sébastien Ourselin, Daniel C. Alexander, Carl-Fredrik Westin, Manuel Jorge Cardoso:
Information Processing in Medical Imaging - 24th International Conference, IPMI 2015, Sabhal Mor Ostaig, Isle of Skye, UK, June 28 - July 3, 2015, Proceedings. Lecture Notes in Computer Science 9123, Springer 2015, ISBN 978-3-319-19991-7 [contents] - [e9]Sébastien Ourselin, Martin Andreas Styner:
Medical Imaging 2015: Image Processing, Orlando, Florida, USA, February 24-26, 2015. SPIE Proceedings 9413, SPIE 2015, ISBN 978-1-6284-1503-2 [contents] - 2014
- [j51]Thomy Mertzanidou, John H. Hipwell, Stian Flage Johnsen, Lianghao Han, Björn Eiben, Zeike A. Taylor, Sébastien Ourselin, Henkjan J. Huisman, Ritse Mann, Ulrich Bick, Nico Karssemeijer, David J. Hawkes:
MRI to X-ray mammography intensity-based registration with simultaneous optimisation of pose and biomechanical transformation parameters. Medical Image Anal. 18(4): 674-683 (2014) - [j50]Pankaj Daga, Tejas Pendse, Marc Modat, Mark White, Laura Mancini, Gavin P. Winston, Andrew W. McEvoy, John S. Thornton, Tarek A. Yousry, Ivana Drobnjak, John S. Duncan, Sébastien Ourselin:
Susceptibility artefact correction using dynamic graph cuts: Application to neurosurgery. Medical Image Anal. 18(7): 1132-1142 (2014) - [j49]Andrew Melbourne, Giles S. Kendall, Manuel Jorge Cardoso, Roxanna Gunney, Nicola J. Robertson, Neil Marlow, Sébastien Ourselin:
Preterm birth affects the developmental synergy between cortical folding and cortical connectivity observed on multimodal MRI. NeuroImage 89: 23-34 (2014) - [j48]Kate E. Macdonald, Kelvin K. Leung, Jonathan W. Bartlett, Melanie Blair, Ian B. Malone, Josephine Barnes, Sébastien Ourselin, Nick C. Fox:
Automated Template-Based Hippocampal Segmentations from MRI: The Effects of 1.5T or 3T Field Strength on Accuracy. Neuroinformatics 12(3): 405-412 (2014) - [j47]Niccolo Fuin, Stefano Pedemonte, Simon R. Arridge, Sébastien Ourselin, Brian F. Hutton:
Efficient Determination of the Uncertainty for the Optimization of SPECT System Design: A Subsampled Fisher Information Matrix. IEEE Trans. Medical Imaging 33(3): 618-635 (2014) - [j46]Lianghao Han, John H. Hipwell, Björn Eiben, Dean C. Barratt, Marc Modat, Sébastien Ourselin, David J. Hawkes:
A Nonlinear Biomechanical Model Based Registration Method for Aligning Prone and Supine MR Breast Images. IEEE Trans. Medical Imaging 33(3): 682-694 (2014) - [j45]Ninon Burgos, Manuel Jorge Cardoso, Kris Thielemans, Marc Modat, Stefano Pedemonte, John C. Dickson, Anna Barnes, Rebekah Ahmed, Colin J. Mahoney, Jonathan M. Schott, John S. Duncan, David Atkinson, Simon R. Arridge, Brian F. Hutton, Sébastien Ourselin:
Attenuation Correction Synthesis for Hybrid PET-MR Scanners: Application to Brain Studies. IEEE Trans. Medical Imaging 33(12): 2332-2341 (2014) - [c149]Neil P. Oxtoby, Alexandra L. Young, Nick C. Fox, Pankaj Daga, David M. Cash, Sébastien Ourselin, Jonathan M. Schott, Daniel C. Alexander:
Learning Imaging Biomarker Trajectories from Noisy Alzheimer's Disease Data Using a Bayesian Multilevel Model. BAMBI 2014: 85-94 - [c148]Max Allan, Steve Thompson, Matthew J. Clarkson, Sébastien Ourselin, David J. Hawkes, John D. Kelly, Danail Stoyanov:
2D-3D Pose Tracking of Rigid Instruments in Minimally Invasive Surgery. IPCAI 2014: 1-10 - [c147]Gergely Zombori, Roman Rodionov, Mark Nowell, Maria A. Zuluaga, Matthew J. Clarkson, Caroline Micallef, Beate Diehl, Tim Wehner, A. Miserochi, Andrew W. McEvoy, John S. Duncan, Sébastien Ourselin:
A Computer Assisted Planning System for the Placement of sEEG Electrodes in the Treatment of Epilepsy. IPCAI 2014: 118-127 - [c146]Martin Kochan, Pankaj Daga, Ninon Burgos, Mark White, Manuel Jorge Cardoso, Laura Mancini, Gavin Winston, Andrew W. McEvoy, John S. Thornton, Tarek A. Yousry, John S. Duncan, Danail Stoyanov, Sébastien Ourselin:
Simulated Field Maps: Toward Improved Susceptibility Artefact Correction in Interventional MRI. IPCAI 2014: 226-235 - [c145]Maria A. Zuluaga, Alex F. Mendelson, Manuel Jorge Cardoso, Andrew Mayall Taylor, Sébastien Ourselin:
Multi-atlas based pathological stratification of D-TGA congenital heart disease. ISBI 2014: 109-112 - [c144]Liu Liu, Wenzhe Shi, Daniel Rueckert, Mingxing Hu, Sébastien Ourselin, Xiahai Zhuang:
Coronary centerline extraction based on ostium detection and model-guided directional minimal path. ISBI 2014: 133-136 - [c143]Jyrki Lötjönen, Christian Ledig, Juha Koikkalainen, Robin Wolz, Lennart Thurfjell, Hilkka Soininen, Sébastien Ourselin, Daniel Rueckert:
Extended boundary shift integral. ISBI 2014: 854-857 - [c142]Eliza Orasanu, Andrew Melbourne, Herve Lombaert, Manuel Jorge Cardoso, Stian Flage Johnsen, Giles S. Kendall, Nicola J. Robertson, Neil Marlow, Sébastien Ourselin:
Prefrontal Cortical Folding of the Preterm Brain: A Longitudinal Analysis of Preterm-Born Neonates. STIA 2014: 3-12 - [c141]Marc Modat, Ivor J. A. Simpson, Manuel Jorge Cardoso, David M. Cash, Nicolas Toussaint, Nick C. Fox, Sébastien Ourselin:
Simulating Neurodegeneration through Longitudinal Population Analysis of Structural and Diffusion Weighted MRI Data. MICCAI (3) 2014: 57-64 - [c140]Jieqing Jiao, Alexandre Bousse, Kris Thielemans, Pawel Markiewicz, Ninon Burgos, David Atkinson, Simon R. Arridge, Brian F. Hutton, Sébastien Ourselin:
Joint Parametric Reconstruction and Motion Correction Framework for Dynamic PET Data. MICCAI (1) 2014: 114-121 - [c139]Alex F. Mendelson, Maria A. Zuluaga, Lennart Thurfjell, Brian F. Hutton, Sébastien Ourselin:
The Empirical Variance Estimator for Computer Aided Diagnosis: Lessons for Algorithm Validation. MICCAI (2) 2014: 236-243 - [c138]Andrew Melbourne, Zach Eaton-Rosen, Enrico De Vita, Alan Bainbridge, Manuel Jorge Cardoso, David Price, Ernest Cady, Giles S. Kendall, Nicola J. Robertson, Neil Marlow, Sébastien Ourselin:
Multi-modal Measurement of the Myelin-to-Axon Diameter g-ratio in Preterm-born Neonates and Adult Controls. MICCAI (2) 2014: 268-275 - [c137]Zach Eaton-Rosen, Andrew Melbourne, Eliza Orasanu, Marc Modat, Manuel Jorge Cardoso, Alan Bainbridge, Giles S. Kendall, Nicola J. Robertson, Neil Marlow, Sébastien Ourselin:
Longitudinal Measurement of the Developing Thalamus in the Preterm Brain Using Multi-modal MRI. MICCAI (2) 2014: 276-283 - [c136]Carole H. Sudre, Manuel Jorge Cardoso, Willem H. Bouvy, Geert Jan Biessels, Josephine Barnes, Sébastien Ourselin:
Bayesian Model Selection for Pathological Data. MICCAI (1) 2014: 323-330 - [c135]