Daniel Coelho de Castro

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Ben GlockerImperial College LondonVerified email at imperial.ac.uk
Ozan OktayMicrosoft Research CambridgeVerified email at microsoft.com
Aditya NoriMicrosoft ResearchVerified email at microsoft.com
Konstantinos KamnitsasAssociate Professor of Biomedical Imaging @ University of OxfordVerified email at eng.ox.ac.uk
Shruthi BannurMicrosoft ResearchVerified email at microsoft.com
Javier Alvarez ValleMicrosoft ResearchVerified email at microsoft.com
Qi DOUAssistant Professor, The Chinese University of Hong KongVerified email at cse.cuhk.edu.hk
Stephanie L HylandMicrosoft Research CambridgeVerified email at microsoft.com
Nick PawlowskiSenior Researcher, Microsoft ResearchVerified email at microsoft.com
Matthew LungrenChief Data Science Officer Microsoft HLS, Associate Professor UCSF, Adjunct Professor StanfordVerified email at stanford.edu
Daniel RueckertTechnical University of Munich and Imperial College LondonVerified email at tum.de
Fernando Pérez-GarcíaMicrosoft Research - Biomedical ImagingVerified email at microsoft.com
Kenza BouzidMicrosoft ResearchVerified email at microsoft.com
Miguel MonteiroPhD student at Imperial College London - BioMedIA groupVerified email at imperial.ac.uk
Ian WalkerPhD student, Imperial College LondonVerified email at imperial.ac.uk
Harshita SharmaSenior Researcher at MicrosoftVerified email at microsoft.com
Loic Le FolgocAssociate Professor, Télécom Paris, FranceVerified email at telecom-paris.fr
Benedikt BoeckingCarnegie Mellon UniversityVerified email at cmu.edu
Anja ThiemePrincipal Researcher, Microsoft Health FuturesVerified email at microsoft.com
Hoifung PoonGeneral Manager, Microsoft Health FuturesVerified email at microsoft.com

Daniel Coelho de Castro

Other namesDaniel C. Castro

Microsoft Research; Imperial College London

Verified email at microsoft.com - Homepage

Machine Learning Medical Imaging Computer Vision


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Domain Generalization via Model-Agnostic Learning of Semantic Features Q Dou, DC Castro, K Kamnitsas, B Glocker Advances in Neural Information Processing Systems 32, 6447-6458, 2019	676	2019
Causality matters in medical imaging DC Castro, I Walker, B Glocker Nature Communications 11 (3673), 2020	321	2020
Deep Structural Causal Models for Tractable Counterfactual Inference N Pawlowski, DC Castro, B Glocker Advances in Neural Information Processing Systems 33, 857-869, 2020	188	2020
Making the Most of Text Semantics to Improve Biomedical Vision–Language Processing B Boecking, N Usuyama, S Bannur, DC Castro, A Schwaighofer, S Hyland, ... European Conference on Computer Vision (ECCV), 1-21, 2022	122	2022
Machine Learning with Multi-Site Imaging Data: An Empirical Study on the Impact of Scanner Effects B Glocker, R Robinson, DC Castro, Q Dou, E Konukoglu Medical Imaging Meets NeurIPS Workshop 2019, 2019	113	2019
Semi-Supervised Learning via Compact Latent Space Clustering K Kamnitsas, DC Castro, LL Folgoc, I Walker, R Tanno, D Rueckert, ... International Conference on Machine Learning (ICML) 80, 2464-2473, 2018	99	2018
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty M Monteiro, L Le Folgoc, DC Castro, N Pawlowski, B Marques, ... Advances in Neural Information Processing Systems 33, 12756-12767, 2020	95	2020
Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning DC Castro, J Tan, B Kainz, E Konukoglu, B Glocker Journal of Machine Learning Research 20 (178), 1-20, 2019	60	2019
Active label cleaning: Improving dataset quality under resource constraints M Bernhardt, DC Castro, R Tanno, A Schwaighofer, KC Tezcan, ... Nature Communications 13 (1161), 2022	50	2022
Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing S Bannur, S Hyland, Q Liu, F Perez-Garcia, M Ilse, DC Castro, B Boecking, ... Computer Vision and Pattern Recognition (CVPR) 2023, 15016-15027, 2023	43	2023
Cardiac MR segmentation from undersampled k-space using deep latent representation learning J Schlemper, O Oktay, W Bai, DC Castro, J Duan, C Qin, JV Hajnal, ... Medical Image Computing and Computer-Assisted Intervention (MICCAI), 259-267, 2018	41	2018
Bayesian deep learning for accelerated MR image reconstruction J Schlemper, DC Castro, W Bai, C Qin, O Oktay, J Duan, AN Price, ... Machine Learning for Medical Image Reconstruction: First International …, 2018	37	2018
Image-level Harmonization of Multi-Site Data using Image-and-Spatial Transformer Networks R Robinson, Q Dou, DC Castro, K Kamnitsas, M de Groot, RM Summers, ... Medical Image Computing and Computer-Assisted Intervention (MICCAI), 710-719, 2020	23	2020
Measuring axiomatic soundness of counterfactual image models M Monteiro, FDS Ribeiro, N Pawlowski, DC Castro, B Glocker International Conference on Learning Representations 2023, 2023	15	2023
Exploring the Boundaries of GPT-4 in Radiology Q Liu, S Hyland, S Bannur, K Bouzid, DC Castro, MT Wetscherek, R Tinn, ... Empirical Methods in Natural Language Processing (EMNLP) 2023, 14414-14445, 2023	9	2023
From Face Recognition to Models of Identity: A Bayesian Approach to Learning about Unknown Identities from Unsupervised Data DC Castro, S Nowozin European Conference on Computer Vision (ECCV), 745-761, 2018	8	2018
Nonparametric Density Flows for MRI Intensity Normalisation DC Castro, B Glocker Medical Image Computing and Computer-Assisted Intervention (MICCAI), 206-214, 2018	7	2018
MAIRA-1: A specialised large multimodal model for radiology report generation SL Hyland, S Bannur, K Bouzid, DC Castro, M Ranjit, A Schwaighofer, ... arXiv preprint arXiv:2311.13668, 2023	6	2023
Deep Structural Causal Shape Models R Rasal, DC Castro, N Pawlowski, B Glocker ECCV 2022 Workshop on Causality in Vision, 2022	6	2022
A Causal Perspective on Dataset Bias in Machine Learning for Medical Imaging C Jones, DC Castro, FDS Ribeiro, O Oktay, M McCradden, B Glocker Nature Machine Intelligence, 2024	5*	2024

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