Next Generation Machine Intelligence for Medical Image Representation and Analysis

Analyzing Overfitting under Class Imbalance in Neural Networks for Image Segmentation

Auteurs: Zeju Li, Konstantinos Kamnitsas, Ben Glocker
Publié dans: IEEE Transactions on Medical Imaging, 2020, Page(s) 1-1, ISSN 0278-0062
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tmi.2020.3046692

Morpho-MNIST: quantitative assessment and diagnostics for representation learning

Auteurs: Castro, Daniel C.; Tan, Jeremy; Kainz, Bernhard; Konukoglu, Ender; Glocker, Ben
Publié dans: Journal of Machine Learning Research, Numéro 20(178), 2019, Page(s) 1-20, ISSN 1533-7928
Éditeur: JMLR
DOI: 10.3929/ethz-b-000391770

Algorithmic encoding of protected characteristics in image-based models for disease detection

Auteurs: Glocker, Ben; Jones, Charles; Bernhardt, Melanie; Winzeck, Stefan
Publié dans: eBioMedicine, Numéro 6, 2023, ISSN 2352-3964
Éditeur: Elsevier BV
DOI: 10.48550/arxiv.2110.14755

Structured Uncertainty in the Observation Space of Variational Autoencoders

Auteurs: Langley, James; Monteiro, Miguel; Jones, Charles; Pawlowski, Nick; Glocker, Ben
Publié dans: Transactions on Machine Learning Research, Numéro 6, 2022, ISSN 0000-0000
Éditeur: JMLR
DOI: 10.48550/arxiv.2205.12533

Relationship of admission blood proteomic biomarkers levels to lesion type and lesion burden in traumatic brain injury: A CENTER-TBI study

Auteurs: Daniel P. Whitehouse, Miguel Monteiro, Endre Czeiter, Thijs Vande Vyvere, Fernanda Valerio, Zheng Ye, Krisztina Amrein, Konstantinos Kamnitsas, Haiyan Xu, Zhihui Yang, Jan Verheyden, Tilak Das, Evgenios N. Kornaropoulos, Ewout Steyerberg, Andrew I.R. Maas, Kevin K.W. Wang, András Büki, Ben Glocker, David K. Menon, Virginia F.J. Newcombe
Publié dans: EBioMedicine, 2021, ISSN 2352-3964
Éditeur: Elsevier BV
DOI: 10.1016/j.ebiom.2021.103777

Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed

Auteurs: Bernhardt, Melanie; Ribeiro, Fabio De Sousa; Glocker, Ben
Publié dans: Transactions on Machine Learning Research, Numéro 3, 2022, ISSN 0000-0000
Éditeur: JMLR
DOI: 10.48550/arxiv.2205.14094

Causality matters in medical imaging

Auteurs: Daniel C. Castro, Ian Walker, Ben Glocker
Publié dans: Nature Communications, Numéro 11/1, 2020, ISSN 2041-1723
Éditeur: Nature Publishing Group
DOI: 10.1038/s41467-020-17478-w

Unpaired Multi-Modal Segmentation via Knowledge Distillation

Auteurs: Qi Dou, Quande Liu, Pheng Ann Heng, Ben Glocker
Publié dans: IEEE Transactions on Medical Imaging, Numéro 39/7, 2020, Page(s) 2415-2425, ISSN 0278-0062
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TMI.2019.2963882

Distributional Gaussian Processes Layers for Out-of-Distribution Detection

Auteurs: Sebastian G. Popescu, David J. Sharp, James H. Cole, Konstantinos Kamnitsas, Ben Glocker
Publié dans: Journal of Machine Learning for Biomedical Imaging, 2022, ISSN 0000-0000
Éditeur: MELBA
DOI: 10.48550/arxiv.2206.13346

Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation

Auteurs: Zeju Li; Konstantinos Kamnitsas; Qi Dou; Chen Qin; Ben Glocker
Publié dans: IEEE Transactions on Medical Imaging, Numéro 4, 2023, ISSN 0278-0062
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tmi.2023.3282728

Local Brain-Age: A U-Net Model

Auteurs: Sebastian G. Popescu, Ben Glocker, David J. Sharp, James H. Cole
Publié dans: Frontiers in Aging Neuroscience, 2021, ISSN 0000-0000
Éditeur: Frontiers
DOI: 10.3389/fnagi.2021.761954

The medical algorithmic audit

Auteurs: Xiaoxuan Liu, Ben Glocker, Melissa M McCradden, Marzyeh Ghassemi, Alastair K Denniston, Lauren Oakden-Rayner
Publié dans: The Lancet Digital Health, 2022, ISSN 2352-3964
Éditeur: Elsevier BV
DOI: 10.1016/s2589-7500(22)00003-6

Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study

Auteurs: Qi Dou, Tiffany Y. So, Meirui Jiang, Quande Liu, Varut Vardhanabhuti, Georgios Kaissis, Zeju Li, Weixin Si, Heather H. C. Lee, Kevin Yu, Zuxin Feng, Li Dong, Egon Burian, Friederike Jungmann, Rickmer Braren, Marcus Makowski, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Simon C. H. Yu & Pheng Ann Heng
Publié dans: npj Digital Medicine, 2021, ISSN 2398-6352
Éditeur: Springer
DOI: 10.1038/s41746-021-00431-6

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

Auteurs: 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
Publié dans: The Lancet Digital Health, Numéro 2/6, 2020, Page(s) e314-e322, ISSN 2589-7500
Éditeur: Elsevier
DOI: 10.1016/s2589-7500(20)30085-6

Potential sources of dataset bias complicate investigation of underdiagnosis by machine learning algorithms

Auteurs: Mélanie Bernhardt, Charles Jones, Ben Glocker
Publié dans: Nature Medicine, 2022, ISSN 1078-8956
Éditeur: Nature Publishing Group
DOI: 10.1038/s41591-022-01846-8

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

Auteurs: 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
Publié dans: Journal of Cardiovascular Magnetic Resonance, Numéro 21/1, 2019, ISSN 1532-429X
Éditeur: Springer Nature
DOI: 10.1186/s12968-019-0523-x

Quantitative error prediction of medical image registration using regression forests

Auteurs: Hessam Sokooti, Gorkem Saygili, Ben Glocker, Boudewijn P.F. Lelieveldt, Marius Staring
Publié dans: Medical Image Analysis, Numéro 56, 2019, Page(s) 110-121, ISSN 1361-8415
Éditeur: Elsevier BV
DOI: 10.1016/j.media.2019.05.005

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

Auteurs: Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Ben Glocker, Xiahai Zhuang, Pheng-Ann Heng
Publié dans: IEEE Access, Numéro 7, 2019, Page(s) 99065-99076, ISSN 2169-3536
Éditeur: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2019.2929258

Federated learning enables big data for rare cancer boundary detection

Auteurs: Sarthak Pati; Ujjwal Baid; Brandon Edwards; Micah Sheller; Shih-Han Wang; G. Anthony Reina; Patrick Foley; Alexey Gruzdev; Deepthi Karkada; Christos Davatzikos; Chiharu Sako; Satyam Ghodasara; Michel Bilello; Suyash Mohan; Philipp Vollmuth; Gianluca Brugnara; Chandrakanth J. Preetha; Felix Sahm; Klaus Maier-Hein; Maximilian Zenk; Martin Bendszus; Wolfgang Wick; Evan Calabrese; Jeffrey Rudie; Javie
Publié dans: Nature Communications, 13(1):7346. Nature Publishing Group, Numéro 16, 2022, ISSN 0000-0000
Éditeur: Springer Nature
DOI: 10.1038/s41467-022-33407-5

Risk of Bias in Chest Radiography Deep Learning Foundation Models

Auteurs: Ben Glocker; Charles Jones; Mélanie Roschewitz; Stefan Winzeck
Publié dans: Radiology: Artificial Intelligence, Numéro 4, 2023, ISSN 2638-6100
Éditeur: RSNA
DOI: 10.1148/ryai.230060

Context Label Learning: Improving Background Class Representations in Semantic Segmentation

Auteurs: Zeju Li; Konstantinos Kamnitsas; Cheng Ouyang; Chen Chen; Ben Glocker
Publié dans: IEEE Transactions on Medical Imaging, Numéro 11, 2023, ISSN 0000-0000
Éditeur: IEEE
DOI: 10.1109/tmi.2023.3242838

Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels

Auteurs: Martin Zlocha, Qi Dou, Ben Glocker
Publié dans: Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part VI, Numéro 11769, 2019, Page(s) 402-410, ISBN 978-3-030-32225-0
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-32226-7_45

Is texture predictive for age and sex in brain MRI?

Auteurs: Pawlowski, Nick; Glocker, Ben
Publié dans: International Conference on Medical Imaging with Deep Learning (MIDL), 2019
Éditeur: MIDL

Frequency Dropout: Feature-Level Regularization via Randomized Filtering

Auteurs: Mobarakol Islam; Ben Glocker
Publié dans: Lecture Notes in Computer Science ISBN: 9783031250651, Numéro 6, 2023, ISBN 9783031250651
Éditeur: Springer
DOI: 10.1007/978-3-031-25066-8_14

Stochastic segmentation networks: modelling spatially correlated aleatoric uncertainty

Auteurs: Monteiro, Miguel; Folgoc, Loïc Le; de Castro, Daniel Coelho; Pawlowski, Nick; Marques, Bernardo; Kamnitsas, Konstantinos; van der Wilk, Mark; Glocker, Ben
Publié dans: Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 2020
Éditeur: NeurIPS

Domain generalization via model-agnostic learning of semantic features

Auteurs: Dou, Qi; Castro, Daniel C.; Kamnitsas, Konstantinos; Glocker, Ben
Publié dans: Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 2019
Éditeur: NeurIPS

Overfitting of Neural Nets Under Class Imbalance: Analysis and Improvements for Segmentation

Auteurs: Zeju Li, Konstantinos Kamnitsas, Ben Glocker
Publié dans: Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part III, Numéro 11766, 2019, Page(s) 402-410, ISBN 978-3-030-32247-2
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-32248-9_45

Deep Structural Causal Shape Models

Auteurs: Rasal, Rajat; Castro, Daniel C.; Pawlowski, Nick; Glocker, Ben
Publié dans: Lecture Notes in Computer Science ISBN: 9783031250743, Numéro 10, 2022
Éditeur: Springer
DOI: 10.1007/978-3-031-25075-0_28

Spatially Varying Label Smoothing: Capturing Uncertainty from Expert Annotations

Auteurs: Mobarakol Islam; Ben Glocker
Publié dans: Information Processing in Medical Imaging (IPMI) 2021, Numéro 11, 2021
Éditeur: Springer
DOI: 10.1007/978-3-030-78191-0_52

High Fidelity Image Counterfactuals with Probabilistic Causal Models

Auteurs: Ribeiro, Fabio De Sousa; Xia, Tian; Monteiro, Miguel; Pawlowski, Nick; Glocker, Ben
Publié dans: International Conference on Machine Learning, Numéro 4, 2023
Éditeur: ICML
DOI: 10.48550/arxiv.2306.15764

TBI Lesion Segmentation in Head CT: Impact of Preprocessing and Data Augmentation

Auteurs: Miguel Monteiro, Konstantinos Kamnitsas, Enzo Ferrante, Francois Mathieu, Steven McDonagh, Sam Cook, Susan Stevenson, Tilak Das, Aneesh Khetani, Tom Newman, Fred Zeiler, Richard Digby, Jonathan P. Coles, Daniel Rueckert, David K. Menon, Virginia F. J. Newcombe, Ben Glocker
Publié dans: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 5th International Workshop, BrainLes 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Revised Selected Papers, Part I, Numéro 11992, 2020, Page(s) 13-22, ISBN 978-3-030-46639-8
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-46640-4_2

Nonparametric Density Flows for MRI Intensity Normalisation

Auteurs: Daniel C. Castro, Ben Glocker
Publié dans: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I, Numéro 11070, 2018, Page(s) 206-214, ISBN 978-3-030-00927-4
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-00928-1_24

Domain Adaptation for MRI Organ Segmentation using Reverse Classification Accuracy

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

Real-Time Prediction of Segmentation Quality

Auteurs: 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
Publié dans: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part IV, Numéro 11073, 2018, Page(s) 578-585, ISBN 978-3-030-00936-6
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-00937-3_66

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

Auteurs: Martin Rajchl, Nick Pawlowski, Daniel Rueckert, Paul M. Matthews, Ben Glocker
Publié dans: International Conference on Medical Imaging with Deep Learning (MIDL), 2018
Éditeur: MIDL

Semi-Supervised Learning via Compact Latent Space Clustering

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

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

Auteurs: Vanya V. Valindria, Ioannis Lavdas, Juan Cerrolaza, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker
Publié dans: Machine Learning in Medical Imaging - 9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings, Numéro 11046, 2018, Page(s) 346-354, ISBN 978-3-030-00918-2
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-00919-9_40

Towards continual learning in medical imaging

Auteurs: Chaitanya Baweja, Ben Glocker, Konstantinos Kamnitsas
Publié dans: Workshop Medical Imaging meets NeurIPS, 2018
Éditeur: Workshop Medical Imaging meets NeurIPS

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

Auteurs: Loïc Le Folgoc, Daniel C. Castro, Jeremy Tan, Bishesh Khanal, Konstantinos Kamnitsas, Ian Walker, Amir Alansary, Ben Glocker
Publié dans: Information Processing in Medical Imaging - 26th International Conference, IPMI 2019, Hong Kong, China, June 2–7, 2019, Proceedings, Numéro 11492, 2019, Page(s) 221-234, ISBN 978-3-030-20350-4
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-20351-1_17

Graph Convolutional Gaussian Processes

Auteurs: Ian Walker, Ben Glocker
Publié dans: Proceedings of the 36th International Conference on Machine Learning, Numéro 97, 2019, Page(s) 6495-6504
Éditeur: PMLR

Estimating Model Performance Under Domain Shifts with Class-Specific Confidence Scores

Auteurs: Li, Z; Kamnitsas, K; Islam, M; Chen, C; Glocker, B
Publié dans: International Conference on Medical Image Computing and Computer Assisted Intervention, Numéro 8, 2022
Éditeur: Springer
DOI: 10.1007/978-3-031-16449-1_66

Class-Distribution-Aware Calibration for Long-Tailed Visual Recognition

Auteurs: Islam, M; Seenivasan, L; Ren, H; Glocker, B
Publié dans: ICML Workshop on Uncertainty and Robustness in Deep Learning, Numéro 7, 2021
Éditeur: None
DOI: 10.48550/arxiv.2109.05263

Deep Structural Causal Models for Tractable Counterfactual Inference

Auteurs: Pawlowski, N; Castro, DC; Glocker, B
Publié dans: Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 2020
Éditeur: NeurIPS

Measuring axiomatic soundness of counterfactual image models

Auteurs: Monteiro, Miguel; Ribeiro, Fabio De Sousa; Pawlowski, Nick; Castro, Daniel C.; Glocker, Ben
Publié dans: International Conference on Learning Representations (ICLR), Numéro 2, 2023
Éditeur: ICLR
DOI: 10.48550/arxiv.2303.01274

Confidence-based Out-of-Distribution Detection: A Comparative Study and Analysis

Auteurs: Christoph Berger, Magdalini Paschali, Ben Glocker, Konstantinos Kamnitsas
Publié dans: International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2021
Éditeur: Springer
DOI: 10.48550/arxiv.2107.02568

Learning from Partially Overlapping Labels: Image Segmentation under Annotation Shift

Auteurs: Filbrandt, Gregory; Kamnitsas, Konstantinos; Bernstein, David; Taylor, Alexandra; Glocker, Ben
Publié dans: Numéro 7, 2021
Éditeur: Springer
DOI: 10.48550/arxiv.2107.05938

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

Auteurs: Glocker, B; Robinson, R; Castro, DC; Dou, Q; Konukoglu, E
Publié dans: Workshop Medical Imaging meets NeurIPS, 2019
Éditeur: Medical Imaging meets NeurIPS

Robustness Stress Testing in Medical Image Classification

Auteurs: Islam, Mobarakol; Li, Zeju; Glocker, Ben
Publié dans: Uncertainty for Safe Utilization of Machine Learning in Medical Imaging ISBN: 9783031443350, Numéro 4, 2023
Éditeur: Springer
DOI: 10.1007/978-3-031-44336-7_17

Image-Level Harmonization of Multi-site Data Using Image-and-Spatial Transformer Networks

Auteurs: Robert Robinson, Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas, Marius de Groot, Ronald M. Summers, Daniel Rueckert, Ben Glocker
Publié dans: Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part VII, Numéro 12267, 2020, Page(s) 710-719, ISBN 978-3-030-59727-6
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-59728-3_69

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