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2020 – today
- 2025
[e3]Esther Puyol-Antón
, Ghada Zamzmi, Aasa Feragen, Andrew P. King, Veronika Cheplygina, Melanie Ganz-Benjaminsen, Enzo Ferrante, Ben Glocker, Eike Petersen, John S. H. Baxter, Islem Rekik, Roy Eagleson:
Ethics and Fairness in Medical Imaging - Second International Workshop on Fairness of AI in Medical Imaging, FAIMI 2024, and Third International Workshop on Ethical and Philosophical Issues in Medical Imaging, EPIMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6-10, 2024, Proceedings. Lecture Notes in Computer Science 15198, Springer 2025, ISBN 978-3-031-72786-3 [contents]- 2024
- [j19]Enora Giffard, Pierre Jannin, John S. H. Baxter:
A preliminary exploration into top-down and bottom-up deep-learning approaches to localising neuro-interventional point targets in volumetric MRI. Int. J. Comput. Assist. Radiol. Surg. 19(2): 283-296 (2024) - 2023
- [j18]John S. H. Baxter, Stéphane Croci, Antoine Delmas, Luc Bredoux, Jean-Pascal Lefaucheur, Pierre Jannin:
Reference-free Bayesian model for pointing errors of typein neurosurgical planning. Int. J. Comput. Assist. Radiol. Surg. 18(7): 1269-1277 (2023) - [e2]Stefan Wesarg, Esther Puyol-Antón, John S. H. Baxter, Marius Erdt, Klaus Drechsler, Cristina Oyarzun Laura, Moti Freiman, Yufei Chen, Islem Rekik, Roy Eagleson, Aasa Feragen, Andrew P. King, Veronika Cheplygina, Melanie Ganz-Benjaminsen, Enzo Ferrante, Ben Glocker, Daniel Moyer, Eike Petersen:
Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging - 12th International Workshop, CLIP 2023 1st International Workshop, FAIMI 2023 and 2nd International Workshop, EPIMI 2023 Vancouver, BC, Canada, October 8 and October 12, 2023 Proceedings. Lecture Notes in Computer Science 14242, Springer 2023, ISBN 978-3-031-45248-2 [contents] - 2022
- [c27]John S. H. Baxter:
Separable vs. End-to-End Learning: A Critical Examination of Learning Paradigms. EPIMI/ML-CDS@MICCAI 2022: 26-37 - [c26]Alfonso Estudillo Romero, Claire Haegelen, Pierre Jannin, John S. H. Baxter:
Diffusion Tensor Imaging Biomarkers for Parkinson's Disease Symptomatology. AIIIMA/MIABID@MICCAI 2022: 134-142 - [c25]John S. H. Baxter, Stéphane Croci, Antoine Delmas, Luc Bredoux, Jean-Pascal Lefaucheur, Pierre Jannin:
Errors of type or errors of degree? Cortical point targeting in transcranial magnetic stimulation. Medical Imaging: Image-Guided Procedures 2022 - [e1]John S. H. Baxter, Islem Rekik, Roy Eagleson, Luping Zhou, Tanveer F. Syeda-Mahmood, Hongzhi Wang, Mustafa Hajij:
Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging - 1st International Workshop, EPIMI 2022, 12th International Workshop, ML-CDS 2022, 2nd International Workshop, TDA4BiomedicalImaging, Held in Conjunction with MICCAI 2022, Singapore, September 18-22, 2022, Proceedings. Lecture Notes in Computer Science 13755, Springer 2022, ISBN 978-3-031-23222-0 [contents] - 2021
- [j17]Maxime Peralta, Pierre Jannin, Claire Haegelen, John S. H. Baxter:
Data imputation and compression for Parkinson's disease clinical questionnaires. Artif. Intell. Medicine 114: 102051 (2021) - [j16]Maxime Peralta, Pierre Jannin, John S. H. Baxter:
Machine learning in deep brain stimulation: A systematic review. Artif. Intell. Medicine 122: 102198 (2021) - [j15]Thibault Martin, Maxime Peralta, Greydon Gilmore, Paul Sauleau, Claire Haegelen, Pierre Jannin, John S. H. Baxter:
Extending convolutional neural networks for localizing the subthalamic nucleus from micro-electrode recordings in Parkinson's disease. Biomed. Signal Process. Control. 67: 102529 (2021) - [j14]John S. H. Baxter, Quoc Anh Bui, Ehouarn Maguet, Stéphane Croci, Antoine Delmas, Jean-Pascal Lefaucheur, Luc Bredoux, Pierre Jannin:
Automatic cortical target point localisation in MRI for transcranial magnetic stimulation via a multi-resolution convolutional neural network. Int. J. Comput. Assist. Radiol. Surg. 16(7): 1077-1087 (2021) - [j13]Maxime Peralta, Claire Haegelen, Pierre Jannin, John S. H. Baxter:
PassFlow: a multimodal workflow for predicting deep brain stimulation outcomes. Int. J. Comput. Assist. Radiol. Surg. 16(8): 1361-1370 (2021) - [j12]Thibault Martin, Greydon Gilmore, Claire Haegelen, Pierre Jannin, John S. H. Baxter:
Adapting the listening time for micro-electrode recordings in deep brain stimulation interventions. Int. J. Comput. Assist. Radiol. Surg. 16(8): 1371-1379 (2021) - [c24]John S. H. Baxter, Ehouarn Maguet, Pierre Jannin:
Segmentation of the subthalamic nucleus in MRI via Convolutional Neural Networks for deep brain stimulation planning. Medical Imaging: Image-Guided Procedures 2021 - 2020
- [c23]Maxime Peralta, Quoc Anh Bui, Antoine Ackaouy, Thibault Martin, Greydon Gilmore, Claire Haegelen, Paul Sauleau, John S. H. Baxter, Pierre Jannin:
SepaConvNet for Localizing the Subthalamic Nucleus Using One Second Micro-electrode Recordings. EMBC 2020: 888-893 - [c22]John S. H. Baxter, Ehouarn Maguet, Pierre Jannin:
Localisation of the subthalamic nucleus in MRI via convolutional neural networks for deep brain stimulation planning. Medical Imaging: Image-Guided Procedures 2020: 113150M - [c21]John S. H. Baxter, Pierre Jannin:
Topology-aware activation layer for neural network image segmentation. Medical Imaging: Image Processing 2020: 113131A
2010 – 2019
- 2019
- [j11]Helen Xu, John S. H. Baxter, Oguz Akin, Diego Cantor-Rivera:
Prostate cancer detection using residual networks. Int. J. Comput. Assist. Radiol. Surg. 14(10): 1647-1650 (2019) - [c20]Axel Largent, Jean-Claude Nunes, Hervé Saint-Jalmes, John S. H. Baxter, Peter B. Greer, Jason Dowling, Renaud de Crevoisier, Oscar Acosta:
Pseudo-CT Generation for Mri-only Radiotherapy: Comparative Study Between A Generative Adversarial Network, A U-Net Network, A Patch-Based, and an Atlas Based Methods. ISBI 2019: 1109-1113 - 2018
- [j10]Golafsoun Ameri, John S. H. Baxter, Daniel Bainbridge, Terry M. Peters, Elvis C. S. Chen:
Mixed reality ultrasound guidance system: a case study in system development and a cautionary tale. Int. J. Comput. Assist. Radiol. Surg. 13(4): 495-505 (2018) - [j9]John S. H. Baxter, Eli Gibson, Roy Eagleson, Terry M. Peters:
The semiotics of medical image Segmentation. Medical Image Anal. 44: 54-71 (2018) - [j8]John S. H. Baxter, Zahra Hosseini, Terry M. Peters, Maria Drangova:
Cyclic Continuous Max-Flow: A Third Paradigm in Generating Local Phase Shift Maps in MRI. IEEE Trans. Medical Imaging 37(2): 568-579 (2018) - 2017
- [j7]John S. H. Baxter, Martin Rajchl, A. Jonathan McLeod, Jing Yuan, Terry M. Peters:
Directed Acyclic Graph Continuous Max-Flow Image Segmentation for Unconstrained Label Orderings. Int. J. Comput. Vis. 123(3): 415-434 (2017) - [c19]A. Jonathan McLeod, Dante P. I. Capaldi, John S. H. Baxter, Grace Parraga, Xiongbiao Luo, Terry M. Peters:
Analysis of Periodicity in Video Sequences Through Dynamic Linear Modeling. MICCAI (2) 2017: 386-393 - 2016
- [j6]Diego Cantor-Rivera, John S. H. Baxter, Sandrine de Ribaupierre, Jonathan C. Lau, Seyed M. Mirsattari, Maged Goubran, Jorge G. Burneo, David A. Steven, Terry M. Peters, Ali R. Khan:
Individual feature maps: a patient-specific analysis tool with applications in temporal lobe epilepsy. Int. J. Comput. Assist. Radiol. Surg. 11(1): 53-71 (2016) - [j5]Martin Rajchl, John S. H. Baxter, A. Jonathan McLeod, Jing Yuan, Wu Qiu, Terry M. Peters, Ali R. Khan:
Hierarchical max-flow segmentation framework for multi-atlas segmentation with Kohonen self-organizing map based Gaussian mixture modeling. Medical Image Anal. 27: 45-56 (2016) - [c18]Martin Rajchl, John S. H. Baxter, Wu Qiu, Ali R. Khan, Aaron Fenster, Terry M. Peters, Daniel Rueckert, Jing Yuan:
Fast Deformable Image Registration with Non-smooth Dual Optimization. CVPR Workshops 2016: 465-472 - [c17]Utsav Pardasani, John S. H. Baxter, Terry M. Peters, Ali R. Khan:
Single slice US-MRI registration for neurosurgical MRI-guided US. Medical Imaging: Image-Guided Procedures 2016: 97862D - [c16]John S. H. Baxter, Jing Yuan, Maria Drangova, Terry M. Peters, Jiro Inoue:
Shape complexes in continuous max-flow segmentation. Medical Imaging: Image Processing 2016: 978434 - 2015
- [j4]Elvis C. S. Chen, A. Jonathan McLeod, John S. H. Baxter, Terry M. Peters:
Registration of 3D shapes under anisotropic scaling. Int. J. Comput. Assist. Radiol. Surg. 10(6): 867-878 (2015) - [j3]A. Jonathan McLeod, John S. H. Baxter, Golafsoun Ameri, Sugantha Ganapathy, Terry M. Peters, Elvis C. S. Chen:
Detection and visualization of dural pulsation for spine needle interventions. Int. J. Comput. Assist. Radiol. Surg. 10(6): 947-958 (2015) - [j2]Kamyar Abhari, John S. H. Baxter, Ali R. Khan, Terry M. Peters, Sandrine de Ribaupierre, Roy Eagleson:
Visual Enhancement of MR Angiography Images to Facilitate Planning of Arteriovenous Malformation Interventions. ACM Trans. Appl. Percept. 12(1): 4:1-4:15 (2015) - [j1]Kamyar Abhari, John S. H. Baxter, Elvis C. S. Chen, Ali R. Khan, Terry M. Peters, Sandrine de Ribaupierre, Roy Eagleson:
Training for Planning Tumour Resection: Augmented Reality and Human Factors. IEEE Trans. Biomed. Eng. 62(6): 1466-1477 (2015) - [c15]Golafsoun Ameri, John S. H. Baxter, A. Jonathan McLeod, Terry M. Peters, Elvis C. S. Chen:
Augmented Reality Ultrasound Guidance for Central Line Procedures: Preliminary Results. AE-CAI 2015: 11-20 - [c14]A. Jonathan McLeod, John S. H. Baxter, Uditha L. Jayarathne, Stephen E. Pautler, Terry M. Peters, Xiongbiao Luo:
Stereoscopic Motion Magnification in Minimally-Invasive Robotic Prostatectomy. CARE@MICCAI 2015: 35-45 - [c13]Elvis C. S. Chen, A. Jonathan McLeod, John S. H. Baxter, Terry M. Peters:
An Iterative Closest Point Framework for Ultrasound Calibration. AE-CAI 2015: 69-79 - [c12]Jiro Inoue, John S. H. Baxter, Maria Drangova:
Left Atrial Wall Segmentation from CT for Radiofrequency Catheter Ablation Planning. CLIP@MICCAI 2015: 71-78 - [c11]Golafsoun Ameri, A. Jonathan McLeod, John S. H. Baxter, Elvis C. S. Chen, Terry M. Peters:
Line fiducial material and thickness considerations for ultrasound calibration. Medical Imaging: Image-Guided Procedures 2015: 941529 - [c10]John S. H. Baxter, Martin Rajchl, Terry M. Peters, Elvis C. S. Chen:
Optimization-based interactive segmentation interface for multi-region problems. Medical Imaging: Image Processing 2015: 94133T - [i6]John S. H. Baxter, Martin Rajchl, Jing Yuan, Terry M. Peters:
A Proximal Bregman Projection Approach to Continuous Max-Flow Problems Using Entropic Distances. CoRR abs/1501.07844 (2015) - [i5]John S. H. Baxter, Jing Yuan, Terry M. Peters:
Shape Complexes in Continuous Max-Flow Hierarchical Multi-Labeling Problems. CoRR abs/1510.04706 (2015) - [i4]John S. H. Baxter, A. Jonathan McLeod, Terry M. Peters:
A Continuous Max-Flow Approach to Cyclic Field Reconstruction. CoRR abs/1511.03629 (2015) - 2014
- [c9]Martin Rajchl, John S. H. Baxter, Egil Bae, Xue-Cheng Tai, Aaron Fenster, Terry M. Peters, Jing Yuan:
Variational Time-Implicit Multiphase Level-Sets - A Fast Convex Optimization-Based Solution. EMMCVPR 2014: 278-291 - [c8]A. Jonathan McLeod, John S. H. Baxter, Sandrine de Ribaupierre, Terry M. Peters:
Motion magnification for endoscopic surgery. Medical Imaging: Image-Guided Procedures 2014: 90360C - [c7]Golafsoun Ameri, John S. H. Baxter, A. Jonathan McLeod, Uditha L. Jayaranthe, Elvis C. S. Chen, Terry M. Peters:
Synthetic aperture imaging in ultrasound calibration. Medical Imaging: Image-Guided Procedures 2014: 90361I - [c6]John S. H. Baxter, Martin Rajchl, A. Jonathan McLeod, Ali R. Khan, Jing Yuan, Terry M. Peters:
Smoothness parameter tuning for generalized hierarchical continuous max-flow segmentation. Medical Imaging: Image Processing 2014: 903410 - [i3]John S. H. Baxter, Martin Rajchl, Jing Yuan, Terry M. Peters:
A Continuous Max-Flow Approach to General Hierarchical Multi-Labelling Problems. CoRR abs/1404.0336 (2014) - [i2]Martin Rajchl, John S. H. Baxter, Wu Qiu, Ali R. Khan, Aaron Fenster, Terry M. Peters, Jing Yuan:
RANCOR: Non-Linear Image Registration with Total Variation Regularization. CoRR abs/1404.2571 (2014) - [i1]John S. H. Baxter, Martin Rajchl, Jing Yuan, Terry M. Peters:
A Continuous Max-Flow Approach to Multi-Labeling Problems under Arbitrary Region Regularization. CoRR abs/1405.0892 (2014) - 2013
- [c5]Kamyar Abhari, John S. H. Baxter, Elvis C. S. Chen, Ali R. Khan, Chris Wedlake, Terry M. Peters, Roy Eagleson, Sandrine de Ribaupierre:
The Role of Augmented Reality in Training the Planning of Brain Tumor Resection. AE-CAI 2013: 241-248 - 2012
- [c4]Kamyar Abhari, John S. H. Baxter, Elvis C. S. Chen, Ali R. Khan, Chris Wedlake, Terry M. Peters, Sandrine de Ribaupierre, Roy Eagleson:
Use of a Mixed-Reality System to Improve the Planning of Brain Tumour Resections: Preliminary Results. AE-CAI 2012: 55-66 - [c3]Susan Buchanan, John Moore, Deanna Lammers, John S. H. Baxter, Terry M. Peters:
Characterization of tissue-simulating phantom materials for ultrasound-guided needle procedures. Medical Imaging: Image-Guided Procedures 2012: 83162B - [c2]Elvis C. S. Chen, Kripasindhu Sarkar, John S. H. Baxter, John Moore, Chris Wedlake, Terry M. Peters:
An augmented reality platform for planning of minimally invasive cardiac surgeries. Medical Imaging: Image-Guided Procedures 2012: 831617 - 2011
- [c1]John S. H. Baxter, Terry M. Peters, Elvis C. S. Chen:
A unified framework for voxel classification and triangulation. Medical Imaging: Image-Guided Procedures 2011: 796436
Coauthor Index
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