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Daniel C. Castro

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Hierarchical Analysis of Visual COVID-19 Features from Chest Radiographs

Jul 14, 2021
Shruthi Bannur, Ozan Oktay, Melanie Bernhardt, Anton Schwaighofer, Rajesh Jena, Besmira Nushi, Sharan Wadhwani, Aditya Nori, Kal Natarajan, Shazad Ashraf, Javier Alvarez-Valle, Daniel C. Castro

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Deep Structural Causal Models for Tractable Counterfactual Inference

Jun 11, 2020
Nick Pawlowski, Daniel C. Castro, Ben Glocker

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Causality matters in medical imaging

Dec 17, 2019
Daniel C. Castro, Ian Walker, Ben Glocker

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Domain Generalization via Model-Agnostic Learning of Semantic Features

Oct 29, 2019
Qi Dou, Daniel C. Castro, Konstantinos Kamnitsas, Ben Glocker

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Machine Learning with Multi-Site Imaging Data: An Empirical Study on the Impact of Scanner Effects

Oct 10, 2019
Ben Glocker, Robert Robinson, Daniel C. Castro, Qi Dou, Ender Konukoglu

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Contextual Face Recognition with a Nested-Hierarchical Nonparametric Identity Model

Nov 19, 2018
Daniel C. Castro, Sebastian Nowozin

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Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning

Sep 27, 2018
Daniel C. Castro, Jeremy Tan, Bernhard Kainz, Ender Konukoglu, Ben Glocker

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Semi-Supervised Learning via Compact Latent Space Clustering

Jul 29, 2018
Konstantinos Kamnitsas, Daniel C. Castro, Loic Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi, Aditya Nori

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From Face Recognition to Models of Identity: A Bayesian Approach to Learning about Unknown Identities from Unsupervised Data

Jul 20, 2018
Daniel C. Castro, Sebastian Nowozin

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Nonparametric Density Flows for MRI Intensity Normalisation

Jun 07, 2018
Daniel C. Castro, Ben Glocker

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