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Region-based Contrastive Pretraining for Medical Image Retrieval with Anatomic Query


May 09, 2023
Ho Hin Lee, Alberto Santamaria-Pang, Jameson Merkow, Ozan Oktay, Fernando Pérez-García, Javier Alvarez-Valle, Ivan Tarapov

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Compositional Zero-Shot Domain Transfer with Text-to-Text Models


Mar 23, 2023
Fangyu Liu, Qianchu Liu, Shruthi Bannur, Fernando Pérez-García, Naoto Usuyama, Sheng Zhang, Tristan Naumann, Aditya Nori, Hoifung Poon, Javier Alvarez-Valle, Ozan Oktay, Stephanie L. Hyland

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* Accepted at TACL, pre-MIT Press publication version. 16 pages, 4 figures 

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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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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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