Varun Buch

According to our database, Varun Buch authored at least 10 papers between 2019 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2021

Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19.

Aoxiao Zhong, Xiang Li, Dufan Wu, Hui Ren, Kyung Sang Kim, Young-Gon Kim, Varun Buch, Nir Neumark, Bernardo Bizzo, Won Young Tak, Soo Young Park, Yu Rim Lee, Min Kyu Kang, Jung Gil Park, Byung Seok Kim, Woo Jin Chung, Ning Guo, Ittai Dayan, Mannudeep K. Kalra, Quanzheng Li

Medical Image Anal., 2021

Multicenter Assessment of CT Pneumonia Analysis Prototype for Predicting Disease Severity and Patient Outcome.

Fatemeh Homayounieh, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Shadi Ebrahimian, Ruhani Doda Khera, Bernardo C. Bizzo, Varun Buch, Rosa Babaei, Hadi Karimi Mobin, Iman Mohseni, Matthias Mitschke, Mathis Zimmermann, Felix Durlak, Franziska Rauch, Subba R. Digumarthy, Mannudeep K. Kalra

J. Digit. Imaging, 2021

Development and Validation of a Deep Learning Model for Prediction of Severe Outcomes in Suspected COVID-19 Infection.

Varun Buch, Aoxiao Zhong, Xiang Li, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Dufan Wu, Hui Ren, Jiahui Guan, Andrew Liteplo, Sayon Dutta, Ittai Dayan, Quanzheng Li

CoRR, 2021

2020

Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels.

Dufan Wu, Kuang Gong, Chiara Daniela Arru, Fatemeh Homayounieh, Bernardo Bizzo, Varun Buch, Hui Ren, Kyung Sang Kim, Nir Neumark, Pengcheng Xu, Zhiyuan Liu, Wei Fang, Nuobei Xie, Won Young Tak, Soo Young Park, Yu Rim Lee, Min Kyu Kang, Jung Gil Park, Alessandro Carriero, Luca Saba, Mahsa Masjedi, Hamidreza Talari, Rosa Babaei, Hadi Karimi Mobin, Shadi Ebrahimian, Ittai Dayan, Mannudeep K. Kalra, Quanzheng Li

IEEE J. Biomed. Health Informatics, 2020

Democratizing Artificial Intelligence in Healthcare: A Study of Model Development Across Two Institutions Incorporating Transfer Learning.

Vikash Gupta, Holger Roth, Varun Buch, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Richard D. White, Dong Yang, Olga Laur, Brian B. Ghoshhajra, Ittai Dayan, Daguang Xu, Mona G. Flores, Barbaros Selnur Erdal

CoRR, 2020

An Overview and Case Study of the Clinical AI Model Development Life Cycle for Healthcare Systems.

Charles Lu, Julia Strout, Romane Gauriau, Bradley Wright, Fabiola Bezerra De Carvalho Marcruz, Varun Buch, Katherine P. Andriole

CoRR, 2020

Federated Learning for Breast Density Classification: A Real-World Implementation.

Holger R. Roth, Ken Chang, Praveer Singh, Nir Neumark, Wenqi Li, Vikash Gupta, Sharut Gupta, Liangqiong Qu, Alvin Ihsani, Bernardo C. Bizzo, Yuhong Wen, Varun Buch, Meesam Shah, Felipe Kitamura, Matheus Mendonça, Vitor Lavor, Ahmed Harouni, Colin Compas, Jesse Tetreault, Prerna Dogra, Yan Cheng, Selnur Erdal, Richard D. White, Behrooz Hashemian, Thomas J. Schultz, Miao Zhang, Adam McCarthy, B. Min Yun, Elshaimaa Sharaf, Katharina Viktoria Hoebel, Jay B. Patel, Bryan Chen, Sean Ko, Evan Leibovitz, Etta D. Pisano, Laura Coombs, Daguang Xu, Keith J. Dreyer, Ittai Dayan, Ram C. Naidu, Mona Flores, Daniel L. Rubin, Jayashree Kalpathy-Cramer

Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020

2019

Semi-Supervised Natural Language Approach for Fine-Grained Classification of Medical Reports.

Neil Deshmukh, Bernardo Bizzo, Selin Gumustop, Romane Gauriau, Varun Buch, Bradley Wright, Christopher P. Bridge, Ram C. Naidu, Katherine P. Andriole

CoRR, 2019

4D CNN for Semantic Segmentation of Cardiac Volumetric Sequences.

Andriy Myronenko, Dong Yang, Varun Buch, Daguang Xu, Alvin Ihsani, Sean Doyle, Mark Michalski, Neil A. Tenenholtz, Holger Roth

Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019

DeepAAA: Clinically Applicable and Generalizable Detection of Abdominal Aortic Aneurysm Using Deep Learning.

Jen-Tang Lu, Rupert Brooks, Stefan Hahn, Jin Chen, Varun Buch, Gopal Kotecha, Katherine P. Andriole, Brian B. Ghoshhajra, Joel Pinto, Paul Vozila, Mark Michalski, Neil A. Tenenholtz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019