MIMIC-CXR: A large publicly available database of labeled chest radiographs. - Alistair E. W. Johnson; Tom J. Pollard; Seth J. Berkowitz; Nathaniel R. Greenbaum; Matthew P. Lungren; Chih-ying Deng; Roger G. Mark; Steven Horng (CoRR, 2019)

Semi-supervised Learning for Quantification of Pulmonary Edema in Chest X-Ray Images. - Ruizhi Liao 001; Jonathan Rubin; Grace Lam; Seth J. Berkowitz; Sandeep Dalal; William M. Wells III; Steven Horng; Polina Golland (CoRR, 2019)

Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment. - Geeticka Chauhan; Ruizhi Liao 001; William M. Wells III; Jacob Andreas; Xin Wang; Seth J. Berkowitz; Steven Horng; Peter Szolovits; Polina Golland (MICCAI (2), 2020)

Deep Learning to Quantify Pulmonary Edema in Chest Radiographs. - Steven Horng; Ruizhi Liao 001; Xin Wang; Sandeep Dalal; Polina Golland; Seth J. Berkowitz (CoRR, 2020)

Point of Care Image Capture with a Custom Smartphone Application: Experience with an Encounter-Based Workflow. - Oren J. Mechanic; Nicholas D. Kurtzman; David T. Chiu; Larry A. Nathanson; Seth J. Berkowitz (J. Digit. Imaging, 2020)

Multimodal Representation Learning via Maximization of Local Mutual Information. - Ruizhi Liao 001; Daniel Moyer; Miriam Cha; Keegan Quigley; Seth J. Berkowitz; Steven Horng; Polina Golland; William M. Wells III (MICCAI (2), 2021)

Image Classification with Consistent Supporting Evidence. - Peiqi Wang; Ruizhi Liao 001; Daniel Moyer; Seth J. Berkowitz; Steven Horng; Polina Golland (ML4H@NeurIPS, 2021)

Multispecialty Enterprise Imaging Workgroup Consensus on Interactive Multimedia Reporting Current State and Road to the Future: HIMSS-SIIM Collaborative White Paper. - Christopher J. Roth; David A. Clunie; David J. Vining; Seth J. Berkowitz; Alejandro Berlin; Jean-Pierre Bissonnette; Shawn D. Clark; Toby C. Cornish; Monief Eid; Cree M. Gaskin; Alexander K. Goel; Genevieve C. Jacobs; et al. (J. Digit. Imaging, 2021)

Do as AI say: susceptibility in deployment of clinical decision-aids. - Susanne Gaube; Harini Suresh; Martina Raue; Alexander Merritt; Seth J. Berkowitz; Eva Lermer; Joseph F. Coughlin; John V. Guttag; Errol Colak; Marzyeh Ghassemi (npj Digit. Medicine, 2021)

RadTex: Learning Efficient Radiograph Representations from Text Reports. - Keegan Quigley; Miriam Cha; Ruizhi Liao 001; Geeticka Chauhan; Steven Horng; Seth J. Berkowitz; Polina Golland (REMIA@MICCAI, 2022)

Interactive Multimedia Reporting Technical Considerations: HIMSS-SIIM Collaborative White Paper. - Seth J. Berkowitz; David Kwan; Toby C. Cornish; Elliot Lewis Silver; Karen S. Thullner; Alex Aisen; Marilyn M. Bui; Shawn D. Clark; David A. Clunie; Monief Eid; Douglas J. Hartman; Kinson Ho; et al. (J. Digit. Imaging, 2022)

Characterizing the Progression of Pulmonary Edema Severity: Can Pairwise Comparisons in Radiology Reports Help? - Stephanie M. Hu; Steven Horng; Seth J. Berkowitz; Ruizhi Liao 001; Rahul G. Krishnan; Li-Wei H. Lehman; Roger G. Mark (CinC, 2023)

Using Multiple Instance Learning to Build Multimodal Representations. - Peiqi Wang; William M. Wells III; Seth J. Berkowitz; Steven Horng; Polina Golland (IPMI, 2023)

Sample-Specific Debiasing for Better Image-Text Models. - Peiqi Wang; Yingcheng Liu; Ching-Yun Ko; William M. Wells III; Seth J. Berkowitz; Steven Horng; Polina Golland (MLHC, 2023)

Bidirectional Captioning for Clinically Accurate and Interpretable Models. - Keegan Quigley; Miriam Cha; Josh Barua; Geeticka Chauhan; Seth J. Berkowitz; Steven Horng; Polina Golland (CoRR, 2023)