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2020 – today
- 2024
[j6]James M. Hillis
, Jacob J. Visser, Edward R. Scheffer Cliff, Kelly van der Geest-Aspers, Bernardo C. Bizzo, Keith J. Dreyer, Jeremias Adams-Prassl, Katherine P. Andriole:
The lucent yet opaque challenge of regulating artificial intelligence in radiology. npj Digit. Medicine 7(1) (2024)- 2023
- [j5]Matthew A. Haber, Giorgio Pietro Biondetti, Romane Gauriau, Donnella S. Comeau, John K. Chin, Bernardo C. Bizzo, Julia Strout, Alexandra J. Golby, Katherine P. Andriole:
Detection of idiopathic normal pressure hydrocephalus on head CT using a deep convolutional neural network. Neural Comput. Appl. 35(13): 9907-9915 (2023) - 2021
- [j4]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) - [j3]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) - 2020
- [j2]Romane Gauriau, Christopher P. Bridge, Lina Chen, Felipe Kitamura, Neil A. Tenenholtz, John E. Kirsch, Katherine P. Andriole, Mark H. Michalski, Bernardo C. Bizzo:
Using DICOM Metadata for Radiological Image Series Categorization: a Feasibility Study on Large Clinical Brain MRI Datasets. J. Digit. Imaging 33(3): 747-762 (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 - [i4]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) - [i3]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
- [i2]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) - 2018
- [c2]Stefano Pedemonte, Bernardo Bizzo, Stuart R. Pomerantz, Neil A. Tenenholtz, Bradley Wright, Mark Walters, Sean Doyle, Adam McCarthy, Renata Rocha De Almeida, Katherine P. Andriole, Mark Michalski, R. Gilberto González:
Detection and Delineation of Acute Cerebral Infarct on DWI Using Weakly Supervised Machine Learning. MICCAI (3) 2018: 81-88 - [c1]Jen-Tang Lu, Stefano Pedemonte, Bernardo Bizzo, Sean Doyle, Katherine P. Andriole, Mark H. Michalski, R. Gilberto González, Stuart R. Pomerantz:
Deep Spine: Automated Lumbar Vertebral Segmentation, Disc-Level Designation, and Spinal Stenosis Grading using Deep Learning. MLHC 2018: 403-419 - [i1]Jen-Tang Lu, Stefano Pedemonte, Bernardo Bizzo, Sean Doyle, Katherine P. Andriole, Mark H. Michalski, R. Gilberto González, Stuart R. Pomerantz:
DeepSPINE: Automated Lumbar Vertebral Segmentation, Disc-level Designation, and Spinal Stenosis Grading Using Deep Learning. CoRR abs/1807.10215 (2018)
Coauthor Index
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