Next Generation Machine Intelligence for Medical Image Representation and Analysis

Analyzing Overfitting under Class Imbalance in Neural Networks for Image Segmentation

Autores: Zeju Li, Konstantinos Kamnitsas, Ben Glocker
Publicado en: IEEE Transactions on Medical Imaging, 2020, Página(s) 1-1, ISSN 0278-0062
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tmi.2020.3046692

Morpho-MNIST: quantitative assessment and diagnostics for representation learning

Autores: Castro, Daniel C.; Tan, Jeremy; Kainz, Bernhard; Konukoglu, Ender; Glocker, Ben
Publicado en: Journal of Machine Learning Research, Edición 20(178), 2019, Página(s) 1-20, ISSN 1533-7928
Editor: JMLR
DOI: 10.3929/ethz-b-000391770

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

Autores: Glocker, Ben; Jones, Charles; Bernhardt, Melanie; Winzeck, Stefan
Publicado en: eBioMedicine, Edición 6, 2023, ISSN 2352-3964
Editor: Elsevier BV
DOI: 10.48550/arxiv.2110.14755

Structured Uncertainty in the Observation Space of Variational Autoencoders

Autores: Langley, James; Monteiro, Miguel; Jones, Charles; Pawlowski, Nick; Glocker, Ben
Publicado en: Transactions on Machine Learning Research, Edición 6, 2022, ISSN 0000-0000
Editor: 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

Autores: 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
Publicado en: EBioMedicine, 2021, ISSN 2352-3964
Editor: Elsevier BV
DOI: 10.1016/j.ebiom.2021.103777

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

Autores: Bernhardt, Melanie; Ribeiro, Fabio De Sousa; Glocker, Ben
Publicado en: Transactions on Machine Learning Research, Edición 3, 2022, ISSN 0000-0000
Editor: JMLR
DOI: 10.48550/arxiv.2205.14094

Causality matters in medical imaging

Autores: Daniel C. Castro, Ian Walker, Ben Glocker
Publicado en: Nature Communications, Edición 11/1, 2020, ISSN 2041-1723
Editor: Nature Publishing Group
DOI: 10.1038/s41467-020-17478-w

Unpaired Multi-Modal Segmentation via Knowledge Distillation

Autores: Qi Dou, Quande Liu, Pheng Ann Heng, Ben Glocker
Publicado en: IEEE Transactions on Medical Imaging, Edición 39/7, 2020, Página(s) 2415-2425, ISSN 0278-0062
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TMI.2019.2963882

Distributional Gaussian Processes Layers for Out-of-Distribution Detection

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

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

Autores: Zeju Li; Konstantinos Kamnitsas; Qi Dou; Chen Qin; Ben Glocker
Publicado en: IEEE Transactions on Medical Imaging, Edición 4, 2023, ISSN 0278-0062
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tmi.2023.3282728

Local Brain-Age: A U-Net Model

Autores: Sebastian G. Popescu, Ben Glocker, David J. Sharp, James H. Cole
Publicado en: Frontiers in Aging Neuroscience, 2021, ISSN 0000-0000
Editor: Frontiers
DOI: 10.3389/fnagi.2021.761954

Automatic localisation and per-region quantification of traumatic brain injury on head CT using atlas mapping

Autores: Carolina Piçarra; Stefan Winzeck; Miguel Monteiro; Francois Mathieu; Virginia F.J. Newcombe; David K. Menon; Ben Glocker
Publicado en: European Journal of Radiology Open, 2023, ISSN 2352-0477
Editor: Elsevier Limited
DOI: 10.1016/j.ejro.2023.100491

The medical algorithmic audit

Autores: Xiaoxuan Liu, Ben Glocker, Melissa M McCradden, Marzyeh Ghassemi, Alastair K Denniston, Lauren Oakden-Rayner
Publicado en: The Lancet Digital Health, 2022, ISSN 2352-3964
Editor: 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

Autores: 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
Publicado en: npj Digital Medicine, 2021, ISSN 2398-6352
Editor: 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

Autores: 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
Publicado en: The Lancet Digital Health, Edición 2/6, 2020, Página(s) e314-e322, ISSN 2589-7500
Editor: Elsevier
DOI: 10.1016/s2589-7500(20)30085-6

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

Autores: Mélanie Bernhardt, Charles Jones, Ben Glocker
Publicado en: Nature Medicine, 2022, ISSN 1078-8956
Editor: 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

Autores: 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
Publicado en: Journal of Cardiovascular Magnetic Resonance, Edición 21/1, 2019, ISSN 1532-429X
Editor: Springer Nature
DOI: 10.1186/s12968-019-0523-x

Quantitative error prediction of medical image registration using regression forests

Autores: Hessam Sokooti, Gorkem Saygili, Ben Glocker, Boudewijn P.F. Lelieveldt, Marius Staring
Publicado en: Medical Image Analysis, Edición 56, 2019, Página(s) 110-121, ISSN 1361-8415
Editor: 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

Autores: Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Ben Glocker, Xiahai Zhuang, Pheng-Ann Heng
Publicado en: IEEE Access, Edición 7, 2019, Página(s) 99065-99076, ISSN 2169-3536
Editor: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2019.2929258

Federated learning enables big data for rare cancer boundary detection

Autores: 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
Publicado en: Nature Communications, 13(1):7346. Nature Publishing Group, Edición 16, 2022, ISSN 0000-0000
Editor: Springer Nature
DOI: 10.1038/s41467-022-33407-5

Risk of Bias in Chest Radiography Deep Learning Foundation Models

Autores: Ben Glocker; Charles Jones; Mélanie Roschewitz; Stefan Winzeck
Publicado en: Radiology: Artificial Intelligence, Edición 4, 2023, ISSN 2638-6100
Editor: RSNA
DOI: 10.1148/ryai.230060

Context Label Learning: Improving Background Class Representations in Semantic Segmentation

Autores: Zeju Li; Konstantinos Kamnitsas; Cheng Ouyang; Chen Chen; Ben Glocker
Publicado en: IEEE Transactions on Medical Imaging, Edición 11, 2023, ISSN 0000-0000
Editor: IEEE
DOI: 10.1109/tmi.2023.3242838

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

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

Is texture predictive for age and sex in brain MRI?

Autores: Pawlowski, Nick; Glocker, Ben
Publicado en: International Conference on Medical Imaging with Deep Learning (MIDL), 2019
Editor: MIDL

Frequency Dropout: Feature-Level Regularization via Randomized Filtering

Autores: Mobarakol Islam; Ben Glocker
Publicado en: Lecture Notes in Computer Science ISBN: 9783031250651, Edición 6, 2023, ISBN 9783031250651
Editor: Springer
DOI: 10.1007/978-3-031-25066-8_14

Stochastic segmentation networks: modelling spatially correlated aleatoric uncertainty

Autores: Monteiro, Miguel; Folgoc, Loïc Le; de Castro, Daniel Coelho; Pawlowski, Nick; Marques, Bernardo; Kamnitsas, Konstantinos; van der Wilk, Mark; Glocker, Ben
Publicado en: Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 2020
Editor: NeurIPS
DOI: 10.48550/arxiv.2006.06015

Domain generalization via model-agnostic learning of semantic features

Autores: Dou, Qi; Castro, Daniel C.; Kamnitsas, Konstantinos; Glocker, Ben
Publicado en: Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 2019
Editor: NeurIPS

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

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

Deep Structural Causal Shape Models

Autores: Rasal, Rajat; Castro, Daniel C.; Pawlowski, Nick; Glocker, Ben
Publicado en: Lecture Notes in Computer Science ISBN: 9783031250743, Edición 10, 2022
Editor: Springer
DOI: 10.1007/978-3-031-25075-0_28

Grounded Object-Centric Learning

Autores: Avinash Kori; Francesco Locatello; Fabio De Sousa Ribeiro; Francesca Toni; Ben Glocker
Publicado en: International Conference on Learning Representations (ICLR), 2024
Editor: ICLR

Spatially Varying Label Smoothing: Capturing Uncertainty from Expert Annotations

Autores: Mobarakol Islam; Ben Glocker
Publicado en: Information Processing in Medical Imaging (IPMI) 2021, Edición 11, 2021
Editor: Springer
DOI: 10.1007/978-3-030-78191-0_52

High Fidelity Image Counterfactuals with Probabilistic Causal Models

Autores: Ribeiro, Fabio De Sousa; Xia, Tian; Monteiro, Miguel; Pawlowski, Nick; Glocker, Ben
Publicado en: International Conference on Machine Learning, Edición 4, 2023
Editor: ICML
DOI: 10.48550/arxiv.2306.15764

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

Autores: 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
Publicado en: 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, Edición 11992, 2020, Página(s) 13-22, ISBN 978-3-030-46639-8
Editor: Springer International Publishing
DOI: 10.1007/978-3-030-46640-4_2

Nonparametric Density Flows for MRI Intensity Normalisation

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

Domain Adaptation for MRI Organ Segmentation using Reverse Classification Accuracy

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

Real-Time Prediction of Segmentation Quality

Autores: 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
Publicado en: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part IV, Edición 11073, 2018, Página(s) 578-585, ISBN 978-3-030-00936-6
Editor: Springer International Publishing
DOI: 10.1007/978-3-030-00937-3_66

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

Autores: Martin Rajchl, Nick Pawlowski, Daniel Rueckert, Paul M. Matthews, Ben Glocker
Publicado en: International Conference on Medical Imaging with Deep Learning (MIDL), 2018
Editor: MIDL

Semi-Supervised Learning via Compact Latent Space Clustering

Autores: Konstantinos Kamnitsas, Daniel C. Castro, Loic Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi, Aditya Nori
Publicado en: Proceedings of the 35th International Conference on Machine Learning, Edición 80, 2018, Página(s) 2464-2473
Editor: PMLR

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

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

Towards continual learning in medical imaging

Autores: Chaitanya Baweja, Ben Glocker, Konstantinos Kamnitsas
Publicado en: Workshop Medical Imaging meets NeurIPS, 2018
Editor: Workshop Medical Imaging meets NeurIPS

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

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

Graph Convolutional Gaussian Processes

Autores: Ian Walker, Ben Glocker
Publicado en: Proceedings of the 36th International Conference on Machine Learning, Edición 97, 2019, Página(s) 6495-6504
Editor: PMLR

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

Autores: Li, Z; Kamnitsas, K; Islam, M; Chen, C; Glocker, B
Publicado en: International Conference on Medical Image Computing and Computer Assisted Intervention, Edición 8, 2022
Editor: Springer
DOI: 10.1007/978-3-031-16449-1_66

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

Autores: Islam, M; Seenivasan, L; Ren, H; Glocker, B
Publicado en: ICML Workshop on Uncertainty and Robustness in Deep Learning, Edición 7, 2021
Editor: None
DOI: 10.48550/arxiv.2109.05263

Deep Structural Causal Models for Tractable Counterfactual Inference

Autores: Pawlowski, N; Castro, DC; Glocker, B
Publicado en: Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 2020
Editor: NeurIPS

Measuring axiomatic soundness of counterfactual image models

Autores: Monteiro, Miguel; Ribeiro, Fabio De Sousa; Pawlowski, Nick; Castro, Daniel C.; Glocker, Ben
Publicado en: International Conference on Learning Representations (ICLR), Edición 2, 2023
Editor: ICLR
DOI: 10.48550/arxiv.2303.01274

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

Autores: Christoph Berger, Magdalini Paschali, Ben Glocker, Konstantinos Kamnitsas
Publicado en: International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2021
Editor: Springer
DOI: 10.48550/arxiv.2107.02568

Learning from Partially Overlapping Labels: Image Segmentation under Annotation Shift

Autores: Filbrandt, Gregory; Kamnitsas, Konstantinos; Bernstein, David; Taylor, Alexandra; Glocker, Ben
Publicado en: Edición 7, 2021
Editor: Springer
DOI: 10.48550/arxiv.2107.05938

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

Autores: Glocker, B; Robinson, R; Castro, DC; Dou, Q; Konukoglu, E
Publicado en: Workshop Medical Imaging meets NeurIPS, 2019
Editor: Medical Imaging meets NeurIPS

Robustness Stress Testing in Medical Image Classification

Autores: Islam, Mobarakol; Li, Zeju; Glocker, Ben
Publicado en: Uncertainty for Safe Utilization of Machine Learning in Medical Imaging ISBN: 9783031443350, Edición 4, 2023
Editor: Springer
DOI: 10.1007/978-3-031-44336-7_17

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

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

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