Skip to main content

Next Generation Machine Intelligence for Medical Image Representation and Analysis

Searching for OpenAIRE data...

Publications

Morpho-MNIST: quantitative assessment and diagnostics for representation learning

Author(s): Castro, Daniel C.; Tan, Jeremy; Kainz, Bernhard; Konukoglu, Ender; Glocker, Ben
Published in: Journal of Machine Learning Research, Issue 20(178), 2019, Page(s) 1-20, ISSN 1533-7928
DOI: 10.3929/ethz-b-000391770

Causality matters in medical imaging

Author(s): Daniel C. Castro, Ian Walker, Ben Glocker
Published in: Nature Communications, Issue 11/1, 2020, ISSN 2041-1723
DOI: 10.1038/s41467-020-17478-w

Unpaired Multi-Modal Segmentation via Knowledge Distillation

Author(s): Qi Dou, Quande Liu, Pheng Ann Heng, Ben Glocker
Published in: IEEE Transactions on Medical Imaging, Issue 39/7, 2020, Page(s) 2415-2425, ISSN 0278-0062
DOI: 10.1109/TMI.2019.2963882

Multiclass semantic segmentation and quantification of traumatic brain injury lesions on head CT using deep learning: an algorithm development and multicentre validation study

Author(s): Miguel Monteiro, Virginia F J Newcombe, Francois Mathieu, Krishma Adatia, Konstantinos Kamnitsas, Enzo Ferrante, Tilak Das, Daniel Whitehouse, Daniel Rueckert, David K Menon, Ben Glocker
Published in: The Lancet Digital Health, Issue 2/6, 2020, Page(s) e314-e322, ISSN 2589-7500
DOI: 10.1016/s2589-7500(20)30085-6

Automated quality control in image segmentation: application to the UK Biobank cardiovascular magnetic resonance imaging study

Author(s): 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
Published in: Journal of Cardiovascular Magnetic Resonance, Issue 21/1, 2019, ISSN 1532-429X
DOI: 10.1186/s12968-019-0523-x

Quantitative error prediction of medical image registration using regression forests

Author(s): Hessam Sokooti, Gorkem Saygili, Ben Glocker, Boudewijn P.F. Lelieveldt, Marius Staring
Published in: Medical Image Analysis, Issue 56, 2019, Page(s) 110-121, ISSN 1361-8415
DOI: 10.1016/j.media.2019.05.005

PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network at Unpaired Cross-Modality Cardiac Segmentation

Author(s): Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Ben Glocker, Xiahai Zhuang, Pheng-Ann Heng
Published in: IEEE Access, Issue 7, 2019, Page(s) 99065-99076, ISSN 2169-3536
DOI: 10.1109/access.2019.2929258

Is texture predictive for age and sex in brain MRI?

Author(s): Pawlowski, Nick; Glocker, Ben
Published in: International Conference on Medical Imaging with Deep Learning (MIDL), 2019

Domain Adaptation for MRI Organ Segmentation using Reverse Classification Accuracy

Author(s): Vanya V. Valindria, Ioannis Lavdas, Wenjia Bai, Konstantinos Kamnitsas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker
Published in: International Conference on Medical Imaging with Deep Learning (MIDL), 2018

NeuroNet: Fast and Robust Reproduction of Multiple Brain Image Segmentation Pipelines

Author(s): Martin Rajchl, Nick Pawlowski, Daniel Rueckert, Paul M. Matthews, Ben Glocker
Published in: International Conference on Medical Imaging with Deep Learning (MIDL), 2018

Semi-Supervised Learning via Compact Latent Space Clustering

Author(s): Konstantinos Kamnitsas, Daniel C. Castro, Loic Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi, Aditya Nori
Published in: Proceedings of the 35th International Conference on Machine Learning, Issue 80, 2018, Page(s) 2464-2473

Towards continual learning in medical imaging

Author(s): Chaitanya Baweja, Ben Glocker, Konstantinos Kamnitsas
Published in: Workshop Medical Imaging meets NeurIPS, 2018

Graph Convolutional Gaussian Processes

Author(s): Ian Walker, Ben Glocker
Published in: Proceedings of the 36th International Conference on Machine Learning, Issue 97, 2019, Page(s) 6495-6504

Machine Learning with Multi-Site Imaging Data: An Empirical Study on the Impact of Scanner Effects

Author(s): Glocker, B; Robinson, R; Castro, DC; Dou, Q; Konukoglu, E
Published in: Workshop Medical Imaging meets NeurIPS, 2019

Nonparametric Density Flows for MRI Intensity Normalisation

Author(s): Daniel C. Castro, Ben Glocker
Published in: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I, Issue 11070, 2018, Page(s) 206-214
DOI: 10.1007/978-3-030-00928-1_24

Real-Time Prediction of Segmentation Quality

Author(s): Robert Robinson, Ozan Oktay, Wenjia Bai, Vanya V. Valindria, Mihir M. Sanghvi, Nay Aung, José M. 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
Published in: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part IV, Issue 11073, 2018, Page(s) 578-585
DOI: 10.1007/978-3-030-00937-3_66

Small Organ Segmentation in Whole-Body MRI Using a Two-Stage FCN and Weighting Schemes

Author(s): Vanya V. Valindria, Ioannis Lavdas, Juan Cerrolaza, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker
Published in: Machine Learning in Medical Imaging - 9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings, Issue 11046, 2018, Page(s) 346-354
DOI: 10.1007/978-3-030-00919-9_40

Controlling Meshes via Curvature: Spin Transformations for Pose-Invariant Shape Processing

Author(s): Loïc Le Folgoc, Daniel C. Castro, Jeremy Tan, Bishesh Khanal, Konstantinos Kamnitsas, Ian Walker, Amir Alansary, Ben Glocker
Published in: Information Processing in Medical Imaging - 26th International Conference, IPMI 2019, Hong Kong, China, June 2–7, 2019, Proceedings, Issue 11492, 2019, Page(s) 221-234
DOI: 10.1007/978-3-030-20351-1_17