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Varun Buch
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2020 – today
- 2021
- [j3]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:
Multicenter Assessment of CT Pneumonia Analysis Prototype for Predicting Disease Severity and Patient Outcome. J. Digit. Imaging 34(2): 320-329 (2021) - [j2]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:
Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19. Medical Image Anal. 70: 101993 (2021) - [i8]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:
Development and Validation of a Deep Learning Model for Prediction of Severe Outcomes in Suspected COVID-19 Infection. CoRR abs/2103.11269 (2021) - 2020
- [j1]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:
Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels. IEEE J. Biomed. Health Informatics 24(12): 3529-3538 (2020) - [c3]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:
Federated Learning for Breast Density Classification: A Real-World Implementation. DART/DCL@MICCAI 2020: 181-191 - [i7]Charles Lu, Julia Strout, Romane Gauriau, Bradley Wright, Fabiola Bezerra De Carvalho Marcruz, Varun Buch, Katherine P. Andriole:
An Overview and Case Study of the Clinical AI Model Development Life Cycle for Healthcare Systems. CoRR abs/2003.07678 (2020) - [i6]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:
Federated Learning for Breast Density Classification: A Real-World Implementation. CoRR abs/2009.01871 (2020) - [i5]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:
Democratizing Artificial Intelligence in Healthcare: A Study of Model Development Across Two Institutions Incorporating Transfer Learning. CoRR abs/2009.12437 (2020) - [i4]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:
Deep Metric Learning-based Image Retrieval System for Chest Radiograph and its Clinical Applications in COVID-19. CoRR abs/2012.03663 (2020)
2010 – 2019
- 2019
- [c2]Andriy Myronenko, Dong Yang, Varun Buch, Daguang Xu, Alvin Ihsani, Sean Doyle, Mark Michalski, Neil A. Tenenholtz, Holger Roth:
4D CNN for Semantic Segmentation of Cardiac Volumetric Sequences. STACOM@MICCAI 2019: 72-80 - [c1]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:
DeepAAA: Clinically Applicable and Generalizable Detection of Abdominal Aortic Aneurysm Using Deep Learning. MICCAI (2) 2019: 723-731 - [i3]Andriy Myronenko, Dong Yang, Varun Buch, Daguang Xu, Alvin Ihsani, Sean Doyle, Mark Michalski, Neil A. Tenenholtz, Holger Roth:
4D CNN for semantic segmentation of cardiac volumetric sequences. CoRR abs/1906.07295 (2019) - [i2]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:
DeepAAA: clinically applicable and generalizable detection of abdominal aortic aneurysm using deep learning. CoRR abs/1907.02567 (2019) - [i1]Neil Deshmukh, Bernardo Bizzo, Selin Gumustop, Romane Gauriau, Varun Buch, Bradley Wright, Christopher P. Bridge, Ram C. Naidu, Katherine P. Andriole:
Semi-Supervised Natural Language Approach for Fine-Grained Classification of Medical Reports. CoRR abs/1910.13573 (2019)
Coauthor Index
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