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Picture for Arunachalam Narayanaswamy

Arunachalam Narayanaswamy

Evolving symbolic density functionals

Mar 25, 2022
He Ma, Arunachalam Narayanaswamy, Patrick Riley, Li Li

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Scientific Discovery by Generating Counterfactuals using Image Translation

Jul 10, 2020
Arunachalam Narayanaswamy, Subhashini Venugopalan, Dale R. Webster, Lily Peng, Greg Corrado, Paisan Ruamviboonsuk, Pinal Bavishi, Michael Brenner, Philip Nelson, Avinash V. Varadarajan

* MICCAI 2020 
* Accepted at MICCAI 2020. This version combines camera-ready and supplement 

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It's easy to fool yourself: Case studies on identifying bias and confounding in bio-medical datasets

Dec 12, 2019
Subhashini Venugopalan, Arunachalam Narayanaswamy, Samuel Yang, Anton Gerashcenko, Scott Lipnick, Nina Makhortova, James Hawrot, Christine Marques, Joao Pereira, Michael Brenner, Lee Rubin, Brian Wainger, Marc Berndl

* Accepted at Neurips 2019 LMRL workshop -- extended abstract track 

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Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning

Oct 18, 2018
Avinash Varadarajan, Pinal Bavishi, Paisan Raumviboonsuk, Peranut Chotcomwongse, Subhashini Venugopalan, Arunachalam Narayanaswamy, Jorge Cuadros, Kuniyoshi Kanai, George Bresnick, Mongkol Tadarati, Sukhum Silpa-archa, Jirawut Limwattanayingyong, Variya Nganthavee, Joe Ledsam, Pearse A Keane, Greg S Corrado, Lily Peng, Dale R Webster

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