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Making the Most of Text Semantics to Improve Biomedical Vision--Language Processing

Benedikt Boecking , Naoto Usuyama , Shruthi Bannur , Daniel C. Castro , Anton Schwaighofer , Stephanie Hyland , Maria Wetscherek , Tristan Naumann , Aditya Nori , Javier Alvarez-Valle , Hoifung Poon , Ozan Oktay

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Active label cleaning: Improving dataset quality under resource constraints

Melanie Bernhardt , Daniel C. Castro , Ryutaro Tanno , Anton Schwaighofer , Kerem C. Tezcan , Miguel Monteiro , Shruthi Bannur , Matthew Lungren , Aditya Nori , Ben Glocker , Javier Alvarez-Valle , Ozan Oktay

* Currently under peer-review 

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Hierarchical Analysis of Visual COVID-19 Features from Chest Radiographs

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

* Presented at ICML 2021 Workshop on Interpretable Machine Learning in Healthcare 

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Deep Structural Causal Models for Tractable Counterfactual Inference

Nick Pawlowski , Daniel C. Castro , Ben Glocker

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Causality matters in medical imaging

Daniel C. Castro , Ian Walker , Ben Glocker

* 20 pages, 5 figures, 4 tables 

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Domain Generalization via Model-Agnostic Learning of Semantic Features

Qi Dou , Daniel C. Castro , Konstantinos Kamnitsas , Ben Glocker

* NeurIPS 2019 

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

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

* Presented at the Medical Imaging meets NeurIPS Workshop 2019 

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Contextual Face Recognition with a Nested-Hierarchical Nonparametric Identity Model

Daniel C. Castro , Sebastian Nowozin

* NeurIPS 2018 Workshop on All of Bayesian Nonparametrics ([email protected] 2018). arXiv admin note: substantial text overlap with arXiv:1807.07872 

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Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning

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

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Semi-Supervised Learning via Compact Latent Space Clustering

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

* Presented as a long oral in ICML 2018. Post-conference camera ready 

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