Daniel Coelho de Castro

29 papers A* 5Journal 17Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology.
ACM Trans. Comput. Hum. Interact.
Anja Thieme, Abhijith Rajamohan, Benjamin Cooper, Heather Groombridge, Robert Simister, Barney Wong, Nicholas Woznitza, Mark A. Pinnock, Maria T. A. Wetscherek, Cecily Morrison, Hannah Richardson, Fernando Pérez-García, Stephanie L. Hyland, Shruthi Bannur, Daniel Coelho de Castro, Kenza Bouzid, Anton Schwaighofer, Mercy Prasanna Ranjit, Harshita Sharma, Matthew P. Lungren, Ozan Oktay, Javier Alvarez-Valle, Aditya V. Nori, Steve K. Harris, Joseph Jacob
2025 J jnl
Insights into a radiology-specialised multimodal large language model with sparse autoencoders.
CoRR
Kenza Bouzid, Shruthi Bannur, Felix Meissen, Daniel Coelho de Castro, Anton Schwaighofer, Javier Alvarez-Valle, Stephanie L. Hyland
2024 A* conf
Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology.
CHI
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
2024 J jnl
Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology.
CoRR
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
2022 — conf
Analysing the effectiveness of a generative model for semi-supervised medical image segmentation.
ML4H@NeurIPS
Margherita Rosnati, Fabio De Sousa Ribeiro, Miguel Monteiro, Daniel Coelho de Castro, Ben Glocker
2022 J jnl
Analysing the effectiveness of a generative model for semi-supervised medical image segmentation.
CoRR
Margherita Rosnati, Fabio De Sousa Ribeiro, Miguel Monteiro, Daniel Coelho de Castro, Ben Glocker
2020 A* conf
Deep Structural Causal Models for Tractable Counterfactual Inference.
NeurIPS
Nick Pawlowski, Daniel Coelho de Castro, Ben Glocker
2020 J jnl
Deep Structural Causal Models for Tractable Counterfactual Inference.
CoRR
Nick Pawlowski, Daniel Coelho de Castro, Ben Glocker
2020 — conf
Image-Level Harmonization of Multi-site Data Using Image-and-Spatial Transformer Networks.
MICCAI (7)
Robert Robinson, Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas, Marius de Groot, Ronald M. Summers, Daniel Rueckert, Ben Glocker
2020 J jnl
Image-level Harmonization of Multi-Site Data using Image-and-Spatial Transformer Networks.
CoRR
Robert Robinson, Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas, Marius de Groot, Ronald M. Summers, Daniel Rueckert, Benjamin M. Glocker
2020 A* conf
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty.
NeurIPS
Miguel Monteiro, Loïc Le Folgoc, Daniel Coelho de Castro, Nick Pawlowski, Bernardo Marques, Konstantinos Kamnitsas, Mark van der Wilk, Ben Glocker
2020 J jnl
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty.
CoRR
Miguel Monteiro, Loïc Le Folgoc, Daniel Coelho de Castro, Nick Pawlowski, Bernardo Marques, Konstantinos Kamnitsas, Mark van der Wilk, Ben Glocker
2019 J jnl
Causality matters in medical imaging.
CoRR
Daniel Coelho de Castro, Ian Walker, Ben Glocker
2019 — conf
Controlling Meshes via Curvature: Spin Transformations for Pose-Invariant Shape Processing.
IPMI
Loïc Le Folgoc, Daniel Coelho de Castro, Jeremy Tan, Bishesh Khanal, Konstantinos Kamnitsas, Ian Walker, Amir Alansary, Ben Glocker
2019 J jnl
Controlling Meshes via Curvature: Spin Transformations for Pose-Invariant Shape Processing.
CoRR
Loïc Le Folgoc, Daniel Coelho de Castro, Jeremy Tan, Bishesh Khanal, Konstantinos Kamnitsas, Ian Walker, Amir Alansary, Ben Glocker
2019 A* conf
Domain Generalization via Model-Agnostic Learning of Semantic Features.
NeurIPS
Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas, Ben Glocker
2019 J jnl
Domain Generalization via Model-Agnostic Learning of Semantic Features.
CoRR
Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas, Ben Glocker
2019 J jnl
Machine Learning with Multi-Site Imaging Data: An Empirical Study on the Impact of Scanner Effects.
CoRR
Ben Glocker, Robert Robinson, Daniel Coelho de Castro, Qi Dou, Ender Konukoglu
2019 J jnl
Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning.
J. Mach. Learn. Res.
Daniel Coelho de Castro, Jeremy Tan, Bernhard Kainz, Ender Konukoglu, Ben Glocker
2018 — conf
Bayesian Deep Learning for Accelerated MR Image Reconstruction.
MLMIR@MICCAI
Jo Schlemper, Daniel Coelho de Castro, Wenjia Bai, Chen Qin, Ozan Oktay, Jinming Duan, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert
2018 — conf
Cardiac MR Segmentation from Undersampled k-space Using Deep Latent Representation Learning.
MICCAI (1)
Jo Schlemper, Ozan Oktay, Wenjia Bai, Daniel Coelho de Castro, Jinming Duan, Chen Qin, Joseph V. Hajnal, Daniel Rueckert
2018 J jnl
Contextual Face Recognition with a Nested-Hierarchical Nonparametric Identity Model.
CoRR
Daniel Coelho de Castro, Sebastian Nowozin
2018 — conf
From Face Recognition to Models of Identity: A Bayesian Approach to Learning About Unknown Identities from Unsupervised Data.
ECCV (2)
Daniel Coelho de Castro, Sebastian Nowozin
2018 J jnl
From Face Recognition to Models of Identity: A Bayesian Approach to Learning about Unknown Identities from Unsupervised Data.
CoRR
Daniel Coelho de Castro, Sebastian Nowozin
2018 J jnl
Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning.
CoRR
Daniel Coelho de Castro, Jeremy Tan, Bernhard Kainz, Ender Konukoglu, Ben Glocker
2018 — conf
Nonparametric Density Flows for MRI Intensity Normalisation.
MICCAI (1)
Daniel Coelho de Castro, Ben Glocker
2018 J jnl
Nonparametric Density Flows for MRI Intensity Normalisation.
CoRR
Daniel Coelho de Castro, Ben Glocker
2018 A* conf
Semi-Supervised Learning via Compact Latent Space Clustering.
ICML
Konstantinos Kamnitsas, Daniel Coelho de Castro, Loïc Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi, Aditya V. Nori
2018 J jnl
Semi-Supervised Learning via Compact Latent Space Clustering.
CoRR
Konstantinos Kamnitsas, Daniel Coelho de Castro, Loïc Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi, Aditya V. Nori