Daniel Coelho de Castro
Daniel Coelho de Castro
Other namesDaniel C. Castro
Microsoft Research; Imperial College London
Verified email at - Homepage
Cited by
Cited by
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
Causality matters in medical imaging
DC Castro, I Walker, B Glocker
Nature Communications 11 (3673), 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
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
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
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
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
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
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
Active label cleaning: Improving dataset quality under resource constraints
M Bernhardt*, DC Castro*, R Tanno, A Schwaighofer, KC Tezcan, ...
Nature Communications 13 (1161), 2022
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
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
Nonparametric Density Flows for MRI Intensity Normalisation
DC Castro, B Glocker
Medical Image Computing and Computer-Assisted Intervention (MICCAI), 206-214, 2018
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
Image processing for person recognition
S Nowozin, T Ellis, CPB Morrison, DC Castro
US Patent 10,621,416, 2020
Deep Structural Causal Shape Models
R Rasal, DC Castro, N Pawlowski, B Glocker
ECCV 2022 Workshop on Causality in Vision, 2022
Hierarchical Analysis of Visual COVID-19 Features from Chest Radiographs
S Bannur, O Oktay, M Bernhardt, A Schwaighofer, R Jena, B Nushi, ...
ICML 2021 Workshop on Interpretable Machine Learning in Healthcare, 2021
Controlling Meshes via Curvature: Spin Transformations for Pose-Invariant Shape Processing
L Le Folgoc, DC Castro, J Tan, B Khanal, K Kamnitsas, I Walker, ...
Information Processing in Medical Imaging (IPMI), 221-234, 2019
Measuring axiomatic soundness of counterfactual image models
M Monteiro, FDS Ribeiro, N Pawlowski, DC Castro, B Glocker
International Conference on Learning Representations 2023, 2023
Deep Structural Causal Modelling of the Clinical and Radiological Phenotype of Alzheimer’s Disease
A Abdulaal, DC Castro, DC Alexander
NeurIPS 2022 Workshop on Causality for Real-world Impact, 2022
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