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Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing


Jan 11, 2023
Shruthi Bannur, Stephanie Hyland, Qianchu Liu, Fernando Perez-Garcia, Maximilian Ilse, Daniel C. Castro, Benedikt Boecking, Harshita Sharma, Kenza Bouzid, Anja Thieme, Anton Schwaighofer, Maria Wetscherek, Matthew P. Lungren, Aditya Nori, Javier Alvarez-Valle, Ozan Oktay

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* Currently under peer-review 

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Repairing Neural Networks by Leaving the Right Past Behind


Jul 11, 2022
Ryutaro Tanno, Melanie F. Pradier, Aditya Nori, Yingzhen Li

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* 19 pages, 9 figures 

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


Apr 21, 2022
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


Sep 01, 2021
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

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* Currently under peer-review 

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

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Alleviating Privacy Attacks via Causal Learning


Sep 27, 2019
Shruti Tople, Amit Sharma, Aditya Nori

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Overfitting in Synthesis: Theory and Practice (Extender Version)


May 27, 2019
Saswat Padhi, Todd Millstein, Aditya Nori, Rahul Sharma

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* 24 pages (5 pages of appendices), 7 figures, includes proofs of theorems 

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Overfitting in Synthesis: Theory and Practice


May 17, 2019
Saswat Padhi, Todd Millstein, Aditya Nori, Rahul Sharma

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* 24 pages (5 pages of appendices), 7 figures, includes proofs of theorems 

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Adaptive Neural Trees


Oct 07, 2018
Ryutaro Tanno, Kai Arulkumaran, Daniel C. Alexander, Antonio Criminisi, Aditya Nori

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

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