Daniel Coelho de Castro

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Ben GlockerImperial College LondonEmail confirmado em imperial.ac.uk
Ozan Oktaylmperial College LondonEmail confirmado em ic.ac.uk
Javier Alvarez ValleMicrosoft ResearchEmail confirmado em microsoft.com
Shruthi BannurMicrosoft ResearchEmail confirmado em microsoft.com
Stephanie L HylandMicrosoft Research CambridgeEmail confirmado em microsoft.com
Aditya NoriMicrosoft ResearchEmail confirmado em microsoft.com
Maria Teodora Wetscherek (Buzan) M...Consultant Cardiothoracic Radiologist, Cambridge University Hospitals; Affil Assistant Prof, UoCEmail confirmado em umfcluj.ro
Kenza BouzidMicrosoft ResearchEmail confirmado em microsoft.com
Matthew LungrenChief Scientific Officer Microsoft HLS, Adjunct Professor StanfordEmail confirmado em stanford.edu
Fernando Pérez-GarcíaMicrosoft Research - Biomedical ImagingEmail confirmado em microsoft.com
Harshita SharmaSenior Researcher at MicrosoftEmail confirmado em microsoft.com
Konstantinos KamnitsasAssociate Professor of Biomedical Imaging @ University of OxfordEmail confirmado em eng.ox.ac.uk
Anja ThiemePrincipal Researcher, Microsoft ResearchEmail confirmado em microsoft.com
Qi DOUAssistant Professor, The Chinese University of Hong KongEmail confirmado em cse.cuhk.edu.hk
Nick PawlowskiSenior Researcher, Microsoft ResearchEmail confirmado em microsoft.com
Hoifung PoonGeneral Manager, Microsoft Health FuturesEmail confirmado em microsoft.com
Benedikt BoeckingCarnegie Mellon UniversityEmail confirmado em cmu.edu
Valentina SalvatelliMicrosoft Research & SETI InstituteEmail confirmado em uniroma1.it
Maximilian IlseSenior Researcher @ Microsoft ResearchEmail confirmado em microsoft.com
Miguel MonteiroPhD student at Imperial College London - BioMedIA groupEmail confirmado em imperial.ac.uk

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Daniel Coelho de Castro

Outros nomesDaniel C. Castro

Microsoft Research; Imperial College London

Email confirmado em microsoft.com - Página inicial

Machine Learning Medical Imaging Computer Vision


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
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	805	2019
Causality matters in medical imaging DC Castro, I Walker, B Glocker Nature Communications 11 (3673), 2020	429	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	276	2022
Deep Structural Causal Models for Tractable Counterfactual Inference N Pawlowski, DC Castro, B Glocker Advances in Neural Information Processing Systems 33, 857-869, 2020	247	2020
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	142	2020
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	138	2019
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	123	2023
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	109	2018
Active label cleaning: Improving dataset quality under resource constraints M Bernhardt, DC Castro, R Tanno, A Schwaighofer, KC Tezcan, ... Nature Communications 13 (1161), 2022	100	2022
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	74	2019
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	51	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	49	2018
Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology N Yildirim, H Richardson, MT Wetscherek, J Bajwa, J Jacob, MA Pinnock, ... Conference on Human Factors in Computing Systems (CHI) 2024, 444, 2024	46	2024
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	46	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	36	2023
MAIRA-2: Grounded radiology report generation S Bannur, K Bouzid, DC Castro, A Schwaighofer, A Thieme, ... arXiv preprint arXiv:2406.04449, 2024	33	2024
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 6, 138-146, 2024	28*	2024
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	27	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	23	2023
Exploring Scalable Medical Image Encoders Beyond Text Supervision F Pérez-García, H Sharma, S Bond-Taylor, K Bouzid, V Salvatelli, M Ilse, ... Nature Machine Intelligence, 2025	22*	2025

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