Detection and Delineation of Acute Cerebral Infarct on DWI Using Weakly Supervised Machine Learning. - 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 (MICCAI (3), 2018)

Deep Spine: Automated Lumbar Vertebral Segmentation, Disc-Level Designation, and Spinal Stenosis Grading using Deep Learning. - Jen-Tang Lu; Stefano Pedemonte; Bernardo Bizzo; Sean Doyle; Katherine P. Andriole; Mark H. Michalski; R. Gilberto González; Stuart R. Pomerantz (MLHC, 2018)

DeepSPINE: Automated Lumbar Vertebral Segmentation, Disc-level Designation, and Spinal Stenosis Grading Using Deep Learning. - Jen-Tang Lu; Stefano Pedemonte; Bernardo Bizzo; Sean Doyle; Katherine P. Andriole; Mark H. Michalski; R. Gilberto González; Stuart R. Pomerantz (CoRR, 2018)

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)

Federated Learning for Breast Density Classification: A Real-World Implementation. - Holger R. Roth; Ken Chang; Praveer Singh; Nir Neumark; Wenqi Li 001; Vikash Gupta; Sharut Gupta; Liangqiong Qu; Alvin Ihsani; Bernardo C. Bizzo; Yuhong Wen; Varun Buch; et al. (DART/DCL@MICCAI, 2020)

Using DICOM Metadata for Radiological Image Series Categorization: a Feasibility Study on Large Clinical Brain MRI Datasets. - Romane Gauriau; Christopher P. Bridge; Lina Chen; Felipe Kitamura; Neil A. Tenenholtz; John E. Kirsch; Katherine P. Andriole; Mark H. Michalski; Bernardo C. Bizzo (J. Digit. Imaging, 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 001; Kyung Sang Kim; Nir Neumark; Pengcheng Xu; Zhiyuan Liu; Wei Fang; et al. (IEEE J. Biomed. Health Informatics, 2020)

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; et al. (J. Digit. Imaging, 2021)

Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19. - Aoxiao Zhong; Xiang Li 001; Dufan Wu; Hui Ren 001; Kyung Sang Kim; Young-Gon Kim; Varun Buch; Nir Neumark; Bernardo Bizzo; Won Young Tak; Soo Young Park; Yu Rim Lee; et al. (Medical Image Anal., 2021)

Detection of idiopathic normal pressure hydrocephalus on head CT using a deep convolutional neural network. - 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 (Neural Comput. Appl., 2023)

The lucent yet opaque challenge of regulating artificial intelligence in radiology. - 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 (npj Digit. Medicine, 2024)