Daniel Coelho de Castro

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 27

Top Topics

Medical Image Segmentation

Face Recognition

Semantic Features

Top Venues

Publications

Nur Yildirim, Hannah Richardson, Maria Teodora Wetscherek, Junaid Bajwa, Joseph Jacob, Mark Ames Pinnock, Stephen Harris, Daniel Coelho de Castro, Shruthi Bannur, Stephanie L. Hyland, Pratik Ghosh, Mercy Ranjit, Kenza Bouzid, Anton Schwaighofer, Fernando Pérez-García, Harshita Sharma, Ozan Oktay, Matthew P. Lungren, Javier Alvarez-Valle, Aditya V. Nori, Anja Thieme
Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology. CHI (2024)
Nur Yildirim, Hannah Richardson, Maria T. A. Wetscherek, Junaid Bajwa, Joseph Jacob, Mark A. Pinnock, Stephen Harris, Daniel Coelho de Castro, Shruthi Bannur, Stephanie L. Hyland, Pratik Ghosh, Mercy Ranjit, Kenza Bouzid, Anton Schwaighofer, Fernando Pérez-García, Harshita Sharma, Ozan Oktay, Matthew P. Lungren, Javier Alvarez-Valle, Aditya V. Nori, Anja Thieme
Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology. CoRR (2024)
Margherita Rosnati, Fabio De Sousa Ribeiro, Miguel Monteiro, Daniel Coelho de Castro, Ben Glocker
Analysing the effectiveness of a generative model for semi-supervised medical image segmentation. ML4H@NeurIPS (2022)
Margherita Rosnati, Fabio De Sousa Ribeiro, Miguel Monteiro, Daniel Coelho de Castro, Ben Glocker
Analysing the effectiveness of a generative model for semi-supervised medical image segmentation. CoRR (2022)
Miguel Monteiro, Loïc Le Folgoc, Daniel Coelho de Castro, Nick Pawlowski, Bernardo Marques, Konstantinos Kamnitsas, Mark van der Wilk, Ben Glocker
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty. NeurIPS (2020)
Robert Robinson, Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas, Marius de Groot, Ronald M. Summers, Daniel Rueckert, Benjamin M. Glocker
Image-level Harmonization of Multi-Site Data using Image-and-Spatial Transformer Networks. CoRR (2020)
Miguel Monteiro, Loïc Le Folgoc, Daniel Coelho de Castro, Nick Pawlowski, Bernardo Marques, Konstantinos Kamnitsas, Mark van der Wilk, Ben Glocker
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty. CoRR (2020)
Robert Robinson, Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas, Marius de Groot, Ronald M. Summers, Daniel Rueckert, Ben Glocker
Image-Level Harmonization of Multi-site Data Using Image-and-Spatial Transformer Networks. MICCAI (7) (2020)
Nick Pawlowski, Daniel Coelho de Castro, Ben Glocker
Deep Structural Causal Models for Tractable Counterfactual Inference. NeurIPS (2020)
Nick Pawlowski, Daniel Coelho de Castro, Ben Glocker
Deep Structural Causal Models for Tractable Counterfactual Inference. CoRR (2020)
Loïc Le Folgoc, Daniel Coelho de Castro, Jeremy Tan, Bishesh Khanal, Konstantinos Kamnitsas, Ian Walker, Amir Alansary, Ben Glocker
Controlling Meshes via Curvature: Spin Transformations for Pose-Invariant Shape Processing. IPMI (2019)
Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas, Ben Glocker
Domain Generalization via Model-Agnostic Learning of Semantic Features. CoRR (2019)
Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas, Ben Glocker
Domain Generalization via Model-Agnostic Learning of Semantic Features. NeurIPS (2019)
Daniel Coelho de Castro, Ian Walker, Ben Glocker
Causality matters in medical imaging. CoRR (2019)
Loïc Le Folgoc, Daniel Coelho de Castro, Jeremy Tan, Bishesh Khanal, Konstantinos Kamnitsas, Ian Walker, Amir Alansary, Ben Glocker
Controlling Meshes via Curvature: Spin Transformations for Pose-Invariant Shape Processing. CoRR (2019)
Daniel Coelho de Castro, Jeremy Tan, Bernhard Kainz, Ender Konukoglu, Ben Glocker
Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning. J. Mach. Learn. Res. 20 (2019)
Ben Glocker, Robert Robinson, Daniel Coelho de Castro, Qi Dou, Ender Konukoglu
Machine Learning with Multi-Site Imaging Data: An Empirical Study on the Impact of Scanner Effects. CoRR (2019)
Daniel Coelho de Castro, Ben Glocker
Nonparametric Density Flows for MRI Intensity Normalisation. CoRR (2018)
Daniel Coelho de Castro, Sebastian Nowozin
Contextual Face Recognition with a Nested-Hierarchical Nonparametric Identity Model. CoRR (2018)
Jo Schlemper, Daniel Coelho de Castro, Wenjia Bai, Chen Qin, Ozan Oktay, Jinming Duan, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert
Bayesian Deep Learning for Accelerated MR Image Reconstruction. MLMIR@MICCAI (2018)
Daniel Coelho de Castro, Sebastian Nowozin
From Face Recognition to Models of Identity: A Bayesian Approach to Learning about Unknown Identities from Unsupervised Data. CoRR (2018)
Jo Schlemper, Ozan Oktay, Wenjia Bai, Daniel Coelho de Castro, Jinming Duan, Chen Qin, Joseph V. Hajnal, Daniel Rueckert
Cardiac MR Segmentation from Undersampled k-space Using Deep Latent Representation Learning. MICCAI (1) (2018)
Daniel Coelho de Castro, Sebastian Nowozin
From Face Recognition to Models of Identity: A Bayesian Approach to Learning About Unknown Identities from Unsupervised Data. ECCV (2) (2018)
Konstantinos Kamnitsas, Daniel Coelho de Castro, Loïc Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi, Aditya V. Nori
Semi-Supervised Learning via Compact Latent Space Clustering. CoRR (2018)
Daniel Coelho de Castro, Ben Glocker
Nonparametric Density Flows for MRI Intensity Normalisation. MICCAI (1) (2018)
Konstantinos Kamnitsas, Daniel Coelho de Castro, Loïc Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi, Aditya V. Nori
Semi-Supervised Learning via Compact Latent Space Clustering. ICML (2018)
Daniel Coelho de Castro, Jeremy Tan, Bernhard Kainz, Ender Konukoglu, Ben Glocker
Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning. CoRR (2018)