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2020 – today
- 2022
[j30]Alberto Gómez
, Veronika A. Zimmer, Gavin Wheeler, Nicolas Toussaint, Shujie Deng, Robert Wright, Emily Skelton, Jackie Matthews, Bernhard Kainz, Joseph V. Hajnal, Julia A. Schnabel:
PRETUS: A plug-in based platform for real-time ultrasound imaging research. SoftwareX 17: 100959 (2022)- [j29]Tian-Rui Liu, Qingjie Meng, Junjie Huang, Athanasios Vlontzos, Daniel Rueckert, Bernhard Kainz:
Video Summarization Through Reinforcement Learning With a 3D Spatio-Temporal U-Net. IEEE Trans. Image Process. 31: 1573-1586 (2022) - [j28]David Zimmerer, Peter M. Full, Fabian Isensee, Paul Jäger, Tim Adler, Jens Petersen, Gregor Köhler, Tobias Roß, Annika Reinke, Antanas Kascenas, Bjørn Sand Jensen, Alison Q. O'Neil, Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz, Nina Shvetsova, Irina Fedulova, Dmitry V. Dylov, Baolun Yu, Jianyang Zhai, Jingtao Hu, Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, Klaus H. Maier-Hein:
MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images. IEEE Trans. Medical Imaging 41(10): 2728-2738 (2022) - [c68]Daniel Grzech, Mohammad Farid Azampour, Ben Glocker, Julia A. Schnabel, Nassir Navab, Bernhard Kainz, Loïc Le Folgoc:
A variational Bayesian method for similarity learning in non-rigid image registration. CVPR 2022: 119-128 - [c67]Hannah M. Schlüter, Jeremy Tan, Benjamin Hou, Bernhard Kainz:
Natural Synthetic Anomalies for Self-supervised Anomaly Detection and Localization. ECCV (31) 2022: 474-489 - [c66]Cheng Ouyang, Shuo Wang, Chen Chen, Zeju Li, Wenjia Bai, Bernhard Kainz, Daniel Rueckert:
Improved Post-hoc Probability Calibration for Out-of-Domain MRI Segmentation. UNSURE@MICCAI 2022: 59-69 - [c65]Matthew Baugh, Jeremy Tan, Athanasios Vlontzos, Johanna P. Müller, Bernhard Kainz:
nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods. UNSURE@MICCAI 2022: 103-112 - [c64]Clara Lebbos, Jen Barcroft, Jeremy Tan, Johanna Müller, Matthew Baugh, Athanasios Vlontzos, Srdjan Saso, Bernhard Kainz:
Adnexal Mass Segmentation with Ultrasound Data Synthesis. ASMUS@MICCAI 2022: 106-116 - [c63]Hadrien Reynaud, Athanasios Vlontzos, Mischa Dombrowski, Ciarán M. Gilligan-Lee, Arian Beqiri, Paul Leeson, Bernhard Kainz:
D'ARTAGNAN: Counterfactual Video Generation. MICCAI (8) 2022: 599-609 - [i72]Qiang Ma, Liu Li, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert, Amir Alansary:
CortexODE: Learning Cortical Surface Reconstruction by Neural ODEs. CoRR abs/2202.08329 (2022) - [i71]Liu Li, Qiang Ma, Matthew Sinclair, Antonios Makropoulos, Joseph V. Hajnal, A. David Edwards, Bernhard Kainz, Daniel Rueckert, Amir Alansary:
CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI. CoRR abs/2205.08239 (2022) - [i70]Hadrien Reynaud, Athanasios Vlontzos, Mischa Dombrowski, Ciarán M. Gilligan-Lee, Arian Beqiri, Paul Leeson, Bernhard Kainz:
D'ARTAGNAN: Counterfactual Video Generation. CoRR abs/2206.01651 (2022) - [i69]Athanasios Vlontzos, Hadrien Reynaud, Bernhard Kainz:
Is More Data All You Need? A Causal Exploration. CoRR abs/2206.02409 (2022) - [i68]Athanasios Vlontzos, Daniel Rueckert, Bernhard Kainz:
A Review of Causality for Learning Algorithms in Medical Image Analysis. CoRR abs/2206.05498 (2022) - [i67]Veronika A. Zimmer, Alberto Gómez, Emily Skelton, Robert Wright, Gavin Wheeler, Shujie Deng, Nooshin Ghavami, Karen Lloyd, Jacqueline Matthew, Bernhard Kainz, Daniel Rueckert, Joseph V. Hajnal, Julia A. Schnabel:
Placenta Segmentation in Ultrasound Imaging: Addressing Sources of Uncertainty and Limited Field-of-View. CoRR abs/2206.14746 (2022) - [i66]Cheng Ouyang, Shuo Wang, Chen Chen, Zeju Li, Wenjia Bai, Bernhard Kainz, Daniel Rueckert:
Improved post-hoc probability calibration for out-of-domain MRI segmentation. CoRR abs/2208.02870 (2022) - [i65]Matthew Baugh, Jeremy Tan, Athanasios Vlontzos, Johanna P. Müller, Bernhard Kainz:
nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods. CoRR abs/2209.01124 (2022) - [i64]Clara Lebbos, Jen Barcroft, Jeremy Tan, Johanna P. Müller, Matthew Baugh, Athanasios Vlontzos, Srdjan Saso, Bernhard Kainz:
Adnexal Mass Segmentation with Ultrasound Data Synthesis. CoRR abs/2209.12305 (2022) - [i63]Luca Schmidtke, Benjamin Hou, Athanasios Vlontzos, Bernhard Kainz:
Self-Supervised 3D Human Pose Estimation in Static Video Via Neural Rendering. CoRR abs/2210.04514 (2022) - [i62]Andreas P. Hinterreiter, Christina Humer, Bernhard Kainz, Marc Streit:
ParaDime: A Framework for Parametric Dimensionality Reduction. CoRR abs/2210.04582 (2022) - 2021
- [j27]Giulio Jiang, Bernhard Kainz:
Deep radiance caching: Convolutional autoencoders deeper in ray tracing®. Comput. Graph. 94: 22-31 (2021) - [j26]Samuel Budd, Emma C. Robinson, Bernhard Kainz:
A survey on active learning and human-in-the-loop deep learning for medical image analysis. Medical Image Anal. 71: 102062 (2021) - [j25]Qingjie Meng, Jacqueline Matthew, Veronika A. Zimmer, Alberto Gómez, David F. A. Lloyd, Daniel Rueckert, Bernhard Kainz:
Mutual Information-Based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging. IEEE Trans. Medical Imaging 40(2): 722-734 (2021) - [c62]Luca Schmidtke, Athanasios Vlontzos, Simon Ellershaw, Anna Lukens, Tomoki Arichi, Bernhard Kainz:
Unsupervised Human Pose Estimation Through Transforming Shape Templates. CVPR 2021: 2484-2494 - [c61]Qiang Ma, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert, Amir Alansary:
PialNN: A Fast Deep Learning Framework for Cortical Pial Surface Reconstruction. MLCN@MICCAI 2021: 73-81 - [c60]Jeremy Tan, Turkay Kart, Benjamin Hou, James Batten, Bernhard Kainz:
MetaDetector: Detecting Outliers by Learning to Learn from Self-supervision. MIDOG/MOOD/Learn2Reg@MICCAI 2021: 119-126 - [c59]Agisilaos Chartsias, Shan Gao, Angela Mumith, Jorge Oliveira, Kanwal K. Bhatia, Bernhard Kainz, Arian Beqiri:
Contrastive Learning for View Classification of Echocardiograms. ASMUS@MICCAI 2021: 149-158 - [c58]Samuel Budd, Matthew Sinclair, Thomas Day, Athanasios Vlontzos, Jeremy Tan, Tianrui Liu, Jacqueline Matthew, Emily Skelton, John M. Simpson, Reza Razavi, Ben Glocker, Daniel Rueckert, Emma C. Robinson, Bernhard Kainz:
Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-Specific Atlas Maps. MICCAI (7) 2021: 207-217 - [c57]Liu Li, Matthew Sinclair, Antonios Makropoulos, Joseph V. Hajnal, A. David Edwards, Bernhard Kainz, Daniel Rueckert, Amir Alansary:
CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI. UNSURE/PIPPI@MICCAI 2021: 221-230 - [c56]Samuel Budd, Thomas Day, John M. Simpson, Karen Lloyd, Jacqueline Matthew, Emily Skelton, Reza Razavi, Bernhard Kainz:
Can Non-specialists Provide High Quality Gold Standard Labels in Challenging Modalities? DART/FAIR@MICCAI 2021: 251-262 - [c55]Benjamin Hou, Georgios Kaissis, Ronald M. Summers, Bernhard Kainz:
RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting. MICCAI (7) 2021: 293-303 - [c54]Hadrien Reynaud, Athanasios Vlontzos, Benjamin Hou, Arian Beqiri, Paul Leeson, Bernhard Kainz:
Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation. MICCAI (6) 2021: 495-505 - [c53]Jeremy Tan, Benjamin Hou, Thomas Day, John M. Simpson, Daniel Rueckert, Bernhard Kainz:
Detecting Outliers with Poisson Image Interpolation. MICCAI (5) 2021: 581-591 - [i61]Athanasios Vlontzos, Yueqi Cao, Luca Schmidtke, Bernhard Kainz, Anthea Monod:
Topological Data Analysis of Database Representations for Information Retrieval. CoRR abs/2104.01672 (2021) - [i60]Luca Schmidtke, Athanasios Vlontzos, Simon Ellershaw, Anna Lukens, Tomoki Arichi, Bernhard Kainz:
Unsupervised Human Pose Estimation through Transforming Shape Templates. CoRR abs/2105.04154 (2021) - [i59]Tianrui Liu, Qingjie Meng, Junjie Huang, Athanasios Vlontzos, Daniel Rueckert, Bernhard Kainz:
Video Summarization through Reinforcement Learning with a 3D Spatio-Temporal U-Net. CoRR abs/2106.10528 (2021) - [i58]Hadrien Reynaud, Athanasios Vlontzos, Benjamin Hou, Arian Beqiri, Paul Leeson, Bernhard Kainz:
Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation. CoRR abs/2107.00977 (2021) - [i57]Benjamin Hou, Georgios Kaissis, Ronald M. Summers, Bernhard Kainz:
RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting. CoRR abs/2107.02104 (2021) - [i56]Jeremy Tan, Benjamin Hou, Thomas Day, John M. Simpson, Daniel Rueckert, Bernhard Kainz:
Detecting Outliers with Poisson Image Interpolation. CoRR abs/2107.02622 (2021) - [i55]Samuel Budd, Matthew Sinclair, Thomas Day, Athanasios Vlontzos, Jeremy Tan, Tianrui Liu, Jacqueline Matthew, Emily Skelton, John M. Simpson, Reza Razavi, Ben Glocker, Daniel Rueckert, Emma C. Robinson, Bernhard Kainz:
Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps. CoRR abs/2107.02643 (2021) - [i54]Samuel Budd, Thomas Day, John M. Simpson, Karen Lloyd, Jacqueline Matthew, Emily Skelton, Reza Razavi, Bernhard Kainz:
Can non-specialists provide high quality gold standard labels in challenging modalities? CoRR abs/2107.14682 (2021) - [i53]Agisilaos Chartsias, Shan Gao, Angela Mumith, Jorge Oliveira, Kanwal K. Bhatia, Bernhard Kainz, Arian Beqiri:
Contrastive Learning for View Classification of Echocardiograms. CoRR abs/2108.03124 (2021) - [i52]Athanasios Vlontzos, Bernhard Kainz, Ciarán M. Gilligan-Lee:
Estimating the probabilities of causation via deep monotonic twin networks. CoRR abs/2109.01904 (2021) - [i51]Alberto Gómez, Veronika A. Zimmer, Gavin Wheeler, Nicolas Toussaint, Shujie Deng, Robert Wright, Emily Skelton, Jackie Matthews, Bernhard Kainz, Joseph V. Hajnal, Julia A. Schnabel:
PRETUS: A plug-in based platform for real-time ultrasound imaging research. CoRR abs/2109.06519 (2021) - [i50]Hannah M. Schlüter, Jeremy Tan, Benjamin Hou, Bernhard Kainz:
Self-Supervised Out-of-Distribution Detection and Localization with Natural Synthetic Anomalies (NSA). CoRR abs/2109.15222 (2021) - [i49]Daniel Grzech, Mohammad Farid Azampour, Huaqi Qiu, Ben Glocker, Bernhard Kainz, Loïc Le Folgoc:
Uncertainty quantification in non-rigid image registration via stochastic gradient Markov chain Monte Carlo. CoRR abs/2110.13289 (2021) - [i48]Cesare Magnetti, Hadrien Reynaud, Bernhard Kainz:
Cross Modality 3D Navigation Using Reinforcement Learning and Neural Style Transfer. CoRR abs/2111.03485 (2021) - 2020
- [c52]Jeremy Tan, Bernhard Kainz:
Divergent search for image classification behaviors. GECCO Companion 2020: 91-92 - [c51]Samuel Budd, Prachi A. Patkee, Ana Baburamani, Mary A. Rutherford, Emma C. Robinson, Bernhard Kainz:
Surface Agnostic Metrics for Cortical Volume Segmentation and Regression. MLCN/RNO-AI@MICCAI 2020: 3-12 - [c50]Daniel Grzech, Bernhard Kainz, Ben Glocker, Loïc Le Folgoc:
Image Registration via Stochastic Gradient Markov Chain Monte Carlo. UNSURE/GRAIL@MICCAI 2020: 3-12 - [c49]Andreas P. Hinterreiter, Marc Streit, Bernhard Kainz:
Projective Latent Interventions for Understanding and Fine-Tuning Classifiers. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 13-22 - [c48]Athanasios Vlontzos, Samuel Budd, Benjamin Hou, Daniel Rueckert, Bernhard Kainz:
3D Probabilistic Segmentation and Volumetry from 2D Projection Images. TIA@MICCAI 2020: 48-57 - [c47]Qingjie Meng, Daniel Rueckert, Bernhard Kainz:
Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature Alignment. ASMUS/PIPPI@MICCAI 2020: 146-157 - [c46]Jeremy Tan, Anselm Au, Qingjie Meng, Sandy FinesilverSmith, John M. Simpson, Daniel Rueckert, Reza Razavi, Thomas Day, David Lloyd, Bernhard Kainz:
Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening. ASMUS/PIPPI@MICCAI 2020: 243-252 - [c45]Tianrui Liu, Qingjie Meng, Athanasios Vlontzos, Jeremy Tan, Daniel Rueckert, Bernhard Kainz:
Ultrasound Video Summarization Using Deep Reinforcement Learning. MICCAI (3) 2020: 483-492 - [i47]Qingjie Meng, Daniel Rueckert, Bernhard Kainz:
Learning Cross-domain Generalizable Features by Representation Disentanglement. CoRR abs/2003.00321 (2020) - [i46]Nina Miolane, Alice Le Brigant, Johan Mathe, Benjamin Hou, Nicolas Guigui, Yann Thanwerdas, Stefan Heyder, Olivier Peltre, Niklas Koep, Hadi Zaatiti, Hatem Hajri, Yann Cabanes, Thomas Gerald, Paul Chauchat, Christian Shewmake, Bernhard Kainz, Claire Donnat, Susan P. Holmes, Xavier Pennec:
Geomstats: A Python Package for Riemannian Geometry in Machine Learning. CoRR abs/2004.04667 (2020) - [i45]Jeremy Tan, Bernhard Kainz:
Divergent Search for Few-Shot Image Classification. CoRR abs/2004.07903 (2020) - [i44]Tianrui Liu, Qingjie Meng, Athanasios Vlontzos, Jeremy Tan, Daniel Rueckert, Bernhard Kainz:
Ultrasound Video Summarization using Deep Reinforcement Learning. CoRR abs/2005.09531 (2020) - [i43]Athanasios Vlontzos, Samuel Budd, Benjamin Hou, Daniel Rueckert, Bernhard Kainz:
3D Probabilistic Segmentation and Volumetry from 2D projection images. CoRR abs/2006.12809 (2020) - [i42]Andreas P. Hinterreiter, Marc Streit, Bernhard Kainz:
Projective Latent Space Decluttering. CoRR abs/2006.12902 (2020) - [i41]Jeremy Tan, Anselm Au, Qingjie Meng, Sandy FinesilverSmith, John M. Simpson, Daniel Rueckert, Reza Razavi, Thomas Day, David Lloyd, Bernhard Kainz:
Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening. CoRR abs/2008.06966 (2020) - [i40]Qingjie Meng, Daniel Rueckert, Bernhard Kainz:
Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature Alignment. CoRR abs/2008.08433 (2020) - [i39]Athanasios Vlontzos, Henrique Bergallo Rocha, Daniel Rueckert, Bernhard Kainz:
Causal Future Prediction in a Minkowski Space-Time. CoRR abs/2008.09154 (2020) - [i38]Samuel Budd, Prachi A. Patkee, Ana Baburamani, Mary A. Rutherford, Emma C. Robinson, Bernhard Kainz:
Surface Agnostic Metrics for Cortical Volume Segmentation and Regression. CoRR abs/2010.01669 (2020) - [i37]Qingjie Meng, Jacqueline Matthew, Veronika A. Zimmer, Alberto Gómez, David F. A. Lloyd, Daniel Rueckert, Bernhard Kainz:
Mutual Information-based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging. CoRR abs/2011.00739 (2020) - [i36]Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz:
Detecting Outliers with Foreign Patch Interpolation. CoRR abs/2011.04197 (2020) - [i35]Elisa Chotzoglou, Thomas Day, Jeremy Tan, Jacqueline Matthew, David Lloyd, Reza Razavi, John M. Simpson, Bernhard Kainz:
Learning normal appearance for fetal anomaly screening: Application to the unsupervised detection of Hypoplastic Left Heart Syndrome. CoRR abs/2012.03679 (2020)
2010 – 2019
- 2019
- [j24]Thomas Schultz, Anna Puig, Bernhard Kainz:
Foreword to the special section on the Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM) at Medical Image Computing and Computer Assisted Intervention (MICCAI) 2018. Comput. Graph. 83: 5- (2019) - [j23]Daniel Coelho de Castro, Jeremy Tan, Bernhard Kainz, Ender Konukoglu, Ben Glocker:
Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning. J. Mach. Learn. Res. 20: 178:1-178:29 (2019) - [j22]Amir Alansary, Ozan Oktay, Yuanwei Li, Loïc Le Folgoc, Benjamin Hou, Ghislain Vaillant, Konstantinos Kamnitsas, Athanasios Vlontzos, Ben Glocker, Bernhard Kainz, Daniel Rueckert:
Evaluating reinforcement learning agents for anatomical landmark detection. Medical Image Anal. 53: 156-164 (2019) - [j21]Jo Schlemper, Ozan Oktay, Michiel Schaap, Mattias P. Heinrich, Bernhard Kainz, Ben Glocker, Daniel Rueckert:
Attention gated networks: Learning to leverage salient regions in medical images. Medical Image Anal. 53: 197-207 (2019) - [j20]Qingjie Meng, James Housden, Jacqueline Matthew, Daniel Rueckert, Julia A. Schnabel, Bernhard Kainz, Matthew Sinclair, Veronika A. Zimmer, Benjamin Hou, Martin Rajchl, Nicolas Toussaint, Ozan Oktay, Jo Schlemper, Alberto Gómez:
Weakly Supervised Estimation of Shadow Confidence Maps in Fetal Ultrasound Imaging. IEEE Trans. Medical Imaging 38(12): 2755-2767 (2019) - [c44]Qingjie Meng, Nick Pawlowski, Daniel Rueckert, Bernhard Kainz:
Representation Disentanglement for Multi-task Learning with Application to Fetal Ultrasound. SUSI/PIPPI@MICCAI 2019: 47-55 - [c43]Elisa Chotzoglou, Bernhard Kainz:
Exploring the Relationship Between Segmentation Uncertainty, Segmentation Performance and Inter-observer Variability with Probabilistic Networks. LABELS/HAL-MICCAI/CuRIOUS@MICCAI 2019: 51-60 - [c42]Benjamin Hou, Athanasios Vlontzos, Amir Alansary, Daniel Rueckert, Bernhard Kainz:
Flexible Conditional Image Generation of Missing Data with Learned Mental Maps. MLMIR@MICCAI 2019: 139-150 - [c41]Robert Holland, Uday Patel, Phillip Lung, Elisa Chotzoglou, Bernhard Kainz:
Automatic Detection of Bowel Disease with Residual Networks. PRIME@MICCAI 2019: 151-159 - [c40]Jeremy Tan, Anselm Au, Qingjie Meng, Bernhard Kainz:
Semi-supervised Learning of Fetal Anatomy from Ultrasound. DART/MIL3ID@MICCAI 2019: 157-164 - [c39]Athanasios Vlontzos, Amir Alansary, Konstantinos Kamnitsas, Daniel Rueckert, Bernhard Kainz:
Multiple Landmark Detection Using Multi-agent Reinforcement Learning. MICCAI (4) 2019: 262-270 - [c38]Robert Wright, Nicolas Toussaint, Alberto Gómez, Veronika A. M. Zimmer, Bishesh Khanal, Jacqueline Matthew, Emily Skelton, Bernhard Kainz, Daniel Rueckert, Joseph V. Hajnal, Julia A. Schnabel:
Complete Fetal Head Compounding from Multi-view 3D Ultrasound. MICCAI (3) 2019: 384-392 - [c37]Samuel Budd, Matthew Sinclair, Bishesh Khanal, Jacqueline Matthew, David Lloyd, Alberto Gómez, Nicolas Toussaint, Emma C. Robinson, Bernhard Kainz:
Confident Head Circumference Measurement from Ultrasound with Real-Time Feedback for Sonographers. MICCAI (4) 2019: 683-691 - [i34]Robert Robinson, Vanya V. Valindria, Wenjia Bai, Ozan Oktay, Bernhard Kainz, Hideaki Suzuki, Mihir M. Sanghvi, Nay Aung, José Miguel Paiva, Filip Zemrak, Kenneth Fung, Elena Lukaschuk, Aaron M. Lee, Valentina Carapella, Young Jin Kim, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Chris Page, Paul M. Matthews, Daniel Rueckert, Ben Glocker:
Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study. CoRR abs/1901.09351 (2019) - [i33]Athanasios Vlontzos, Amir Alansary, Konstantinos Kamnitsas, Daniel Rueckert, Bernhard Kainz:
Multiple Landmark Detection using Multi-Agent Reinforcement Learning. CoRR abs/1907.00318 (2019) - [i32]Samuel Budd, Matthew Sinclair, Bishesh Khanal, Jacqueline Matthew, David Lloyd, Alberto Gómez, Nicolas Toussaint, Emma C. Robinson, Bernhard Kainz:
Confident Head Circumference Measurement from Ultrasound with Real-time Feedback for Sonographers. CoRR abs/1908.02582 (2019) - [i31]Qingjie Meng, Nick Pawlowski, Daniel Rueckert, Bernhard Kainz:
Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound. CoRR abs/1908.07885 (2019) - [i30]Benjamin Hou, Athanasios Vlontzos, Amir Alansary, Daniel Rueckert, Bernhard Kainz:
Flexible Conditional Image Generation of Missing Data with Learned Mental Maps. CoRR abs/1908.11312 (2019) - [i29]Jeremy Tan, Anselm Au, Qingjie Meng, Bernhard Kainz:
Semi-supervised Learning of Fetal Anatomy from Ultrasound. CoRR abs/1908.11624 (2019) - [i28]Robert Holland, Uday Patel, Phillip Lung, Elisa Chotzoglou, Bernhard Kainz:
Automatic Detection of Bowel Disease with Residual Networks. CoRR abs/1909.00276 (2019) - [i27]Giulio Jiang, Bernhard Kainz:
One Shot Radiance: Global Illumination Using Convolutional Autoencoders. CoRR abs/1910.02480 (2019) - [i26]Samuel Budd, Emma C. Robinson, Bernhard Kainz:
A Survey on Active Learning and Human-in-the-Loop Deep Learning for Medical Image Analysis. CoRR abs/1910.02923 (2019) - 2018
- [j19]Ozan Oktay, Enzo Ferrante, Konstantinos Kamnitsas, Mattias P. Heinrich, Wenjia Bai, Jose Caballero, Stuart A. Cook, Antonio de Marvao, Timothy Dawes, Declan P. O'Regan, Bernhard Kainz, Ben Glocker, Daniel Rueckert:
Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation. IEEE Trans. Medical Imaging 37(2): 384-395 (2018) - [j18]Benjamin Hou, Bishesh Khanal, Amir Alansary, Steven G. McDonagh, Alice Davidson, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz:
3-D Reconstruction in Canonical Co-Ordinate Space From Arbitrarily Oriented 2-D Images. IEEE Trans. Medical Imaging 37(8): 1737-1750 (2018) - [c36]Matthew Sinclair, Christian F. Baumgartner, Jacqueline Matthew, Wenjia Bai, Juan Cerrolaza Martinez, Yuanwei Li, Sandra Smith, Caroline L. Knight, Bernhard Kainz, Joseph V. Hajnal, Andrew P. King, Daniel Rueckert:
Human-level Performance On Automatic Head Biometrics In Fetal Ultrasound Using Fully Convolutional Neural Networks. EMBC 2018: 714-717 - [c35]Qingjie Meng, Christian F. Baumgartner, Matthew Sinclair, James Housden, Martin Rajchl, Alberto Gómez, Benjamin Hou, Nicolas Toussaint, Veronika A. M. Zimmer, Jeremy Tan, Jacqueline Matthew, Daniel Rueckert, Julia A. Schnabel, Bernhard Kainz:
Automatic Shadow Detection in 2D Ultrasound Images. DATRA/PIPPI@MICCAI 2018: 66-75 - [c34]Bishesh Khanal, Alberto Gómez, Nicolas Toussaint, Steven G. McDonagh, Veronika A. M. Zimmer, Emily Skelton, Jacqueline Matthew, Daniel Grzech, Robert Wright, Chandni Gupta, Benjamin Hou, Daniel Rueckert, Julia A. Schnabel, Bernhard Kainz:
EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging Without External Trackers. DATRA/PIPPI@MICCAI 2018: 117-127 - [c33]Amir Alansary, Loïc Le Folgoc, Ghislain Vaillant, Ozan Oktay, Yuanwei Li, Wenjia Bai, Jonathan Passerat-Palmbach, Ricardo Guerrero, Konstantinos Kamnitsas, Benjamin Hou, Steven G. McDonagh, Ben Glocker, Bernhard Kainz, Daniel Rueckert:
Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents. MICCAI (1) 2018: 277-285 - [c32]Juan J. Cerrolaza, Yuanwei Li, Carlo Biffi, Alberto Gómez, Matthew Sinclair, Jacqueline Matthew, Caronline Knight, Bernhard Kainz, Daniel Rueckert:
3D Fetal Skull Reconstruction from 2DUS via Deep Conditional Generative Networks. MICCAI (1) 2018: 383-391 - [c31]Yuanwei Li, Bishesh Khanal, Benjamin Hou, Amir Alansary, Juan J. Cerrolaza, Matthew Sinclair, Jacqueline Matthew, Chandni Gupta, Caroline L. Knight, Bernhard Kainz, Daniel Rueckert:
Standard Plane Detection in 3D Fetal Ultrasound Using an Iterative Transformation Network. MICCAI (1) 2018: 392-400 - [c30]Yuanwei Li, Amir Alansary, Juan J. Cerrolaza, Bishesh Khanal, Matthew Sinclair, Jacqueline Matthew, Chandni Gupta, Caroline L. Knight, Bernhard Kainz, Daniel Rueckert:
Fast Multiple Landmark Localisation Using a Patch-Based Iterative Network. MICCAI (1) 2018: 563-571 - [c29]Robert Robinson, Ozan Oktay, Wenjia Bai, Vanya V. Valindria, Mihir M. Sanghvi, Nay Aung, José Miguel Paiva, Filip Zemrak, Kenneth Fung, Elena Lukaschuk, Aaron M. Lee, Valentina Carapella, Young Jin Kim, Bernhard Kainz, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Chris Page, Daniel Rueckert, Ben Glocker:
Real-Time Prediction of Segmentation Quality. MICCAI (4) 2018: 578-585 - [c28]Benjamin Hou, Nina Miolane, Bishesh Khanal, Matthew C. H. Lee, Amir Alansary, Steven G. McDonagh, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz:
Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry. MICCAI (1) 2018: 756-764 - [c27]Ryutaro Tanno, Antonios Makropoulos, Salim Arslan, Ozan Oktay, Sven Mischkewitz, Fouad Al-Noor, Jonas Oppenheimer, Ramin Mandegaran, Bernhard Kainz, Mattias P. Heinrich:
AutoDVT: Joint Real-Time Classification for Vein Compressibility Analysis in Deep Vein Thrombosis Ultrasound Diagnostics. MICCAI (2) 2018: 905-912 - [e3]Danail Stoyanov, Zeike Taylor, Bernhard Kainz, Gabriel Maicas, Reinhard R. Beichel, Anne L. Martel, Lena Maier-Hein, Kanwal K. Bhatia, Tom Vercauteren, Ozan Oktay, Gustavo Carneiro, Andrew P. Bradley, Jacinto C. Nascimento, Hang Min, Matthew S. Brown, Colin Jacobs, Bianca Lassen-Schmidt, Kensaku Mori, Jens Petersen, Raúl San José Estépar, Alexander Schmidt-Richberg, Catarina Veiga:
Image Analysis for Moving Organ, Breast, and Thoracic Images - Third International Workshop, RAMBO 2018, Fourth International Workshop, BIA 2018, and First International Workshop, TIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16 and 20, 2018, Proceedings. Lecture Notes in Computer Science 11040, Springer 2018, ISBN 978-3-030-00945-8 [contents] - [i25]Keyang Zhou, Bernhard Kainz:
Efficient Image Evidence Analysis of CNN Classification Results. CoRR abs/1801.01693 (2018) - [i24]Ozan Oktay, Jo Schlemper, Loïc Le Folgoc, Matthew C. H. Lee, Mattias P. Heinrich, Kazunari Misawa, Kensaku Mori, Steven G. McDonagh, Nils Y. Hammerla, Bernhard Kainz, Ben Glocker, Daniel Rueckert:
Attention U-Net: Learning Where to Look for the Pancreas. CoRR abs/1804.03999 (2018) - [i23]Jo Schlemper, Ozan Oktay, Liang Chen, Jacqueline Matthew, Caroline L. Knight, Bernhard Kainz, Ben Glocker, Daniel Rueckert:
Attention-Gated Networks for Improving Ultrasound Scan Plane Detection. CoRR abs/1804.05338 (2018) - [i22]Matthew Sinclair, Christian F. Baumgartner, Jacqueline Matthew, Wenjia Bai, Juan Cerrolaza Martinez, Yuanwei Li, Sandra Smith, Caroline L. Knight, Bernhard Kainz, Joseph V. Hajnal, Andrew P. King, Daniel Rueckert:
Human-level Performance On Automatic Head Biometrics In Fetal Ultrasound Using Fully Convolutional Neural Networks. CoRR abs/1804.09102 (2018) - [i21]