Seth J. Berkowitz

22 papers Journal 15Unranked 7

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	HIMSS-SIIM Enterprise Imaging Community White Papers: Reflections and Future Directions. J. Imaging Inform. Medicine Christopher J. Roth, Cheryl A. Petersilge, David A. Clunie, Alexander J. Towbin, Dawn Cram, Rik Primo, Xin Li, Seth J. Berkowitz, Victoria Barnosky, Elizabeth A. Krupinski
2023	J	`jnl`	Bidirectional Captioning for Clinically Accurate and Interpretable Models. CoRR Keegan Quigley, Miriam Cha, Josh Barua, Geeticka Chauhan, Seth J. Berkowitz, Steven Horng, Polina Golland
2023	—	`conf`	Characterizing the Progression of Pulmonary Edema Severity: Can Pairwise Comparisons in Radiology Reports Help? CinC Stephanie M. Hu, Steven Horng, Seth J. Berkowitz, Ruizhi Liao, Rahul G. Krishnan, Li-Wei H. Lehman, Roger G. Mark
2023	—	`conf`	Sample-Specific Debiasing for Better Image-Text Models. MLHC Peiqi Wang, Yingcheng Liu, Ching-Yun Ko, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland
2023	J	`jnl`	Sample-Specific Debiasing for Better Image-Text Models. CoRR Peiqi Wang, Yingcheng Liu, Ching-Yun Ko, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland
2023	—	`conf`	Using Multiple Instance Learning to Build Multimodal Representations. IPMI Peiqi Wang, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland
2022	J	`jnl`	Interactive Multimedia Reporting Technical Considerations: HIMSS-SIIM Collaborative White Paper. J. Digit. Imaging 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, Andrei Leontiev, Damien M. Luviano, Peter E. O'Toole, Anil V. Parwani, Nielsen S. Pereira, Veronica Rotemberg, David J. Vining, Cree M. Gaskin, Christopher J. Roth, Les R. Folio
2022	—	`conf`	RadTex: Learning Efficient Radiograph Representations from Text Reports. REMIA@MICCAI Keegan Quigley, Miriam Cha, Ruizhi Liao, Geeticka Chauhan, Steven Horng, Seth J. Berkowitz, Polina Golland
2022	J	`jnl`	RadTex: Learning Efficient Radiograph Representations from Text Reports. CoRR Keegan Quigley, Miriam Cha, Ruizhi Liao, Geeticka Chauhan, Steven Horng, Seth J. Berkowitz, Polina Golland
2022	J	`jnl`	Using Multiple Instance Learning to Build Multimodal Representations. CoRR Peiqi Wang, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland
2021	J	`jnl`	Do as AI say: susceptibility in deployment of clinical decision-aids. npj Digit. Medicine Susanne Gaube, Harini Suresh, Martina Raue, Alexander Merritt, Seth J. Berkowitz, Eva Lermer, Joseph F. Coughlin, John V. Guttag, Errol Colak, Marzyeh Ghassemi
2021	—	`conf`	Image Classification with Consistent Supporting Evidence. ML4H@NeurIPS Peiqi Wang, Ruizhi Liao, Daniel Moyer, Seth J. Berkowitz, Steven Horng, Polina Golland
2021	J	`jnl`	Image Classification with Consistent Supporting Evidence. CoRR Peiqi Wang, Ruizhi Liao, Daniel Moyer, Seth J. Berkowitz, Steven Horng, Polina Golland
2021	—	`conf`	Multimodal Representation Learning via Maximization of Local Mutual Information. MICCAI (2) Ruizhi Liao, Daniel Moyer, Miriam Cha, Keegan Quigley, Seth J. Berkowitz, Steven Horng, Polina Golland, William M. Wells III
2021	J	`jnl`	Multimodal Representation Learning via Maximization of Local Mutual Information. CoRR Ruizhi Liao, Daniel Moyer, Miriam Cha, Keegan Quigley, Seth J. Berkowitz, Steven Horng, Polina Golland, William M. Wells III
2021	J	`jnl`	Multispecialty Enterprise Imaging Workgroup Consensus on Interactive Multimedia Reporting Current State and Road to the Future: HIMSS-SIIM Collaborative White Paper. J. Digit. Imaging 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, David Kwan, Damien M. Luviano, Morgan P. McBee, Kelly Miller, Abdul Moiz Hafiz, Ceferino Obcemea, Anil V. Parwani, Veronica Rotemberg, Elliot Lewis Silver, Erik S. Storm, James E. Tcheng, Karen S. Thullner, Les R. Folio
2020	J	`jnl`	Deep Learning to Quantify Pulmonary Edema in Chest Radiographs. CoRR Steven Horng, Ruizhi Liao, Xin Wang, Sandeep Dalal, Polina Golland, Seth J. Berkowitz
2020	—	`conf`	Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment. MICCAI (2) Geeticka Chauhan, Ruizhi Liao, William M. Wells III, Jacob Andreas, Xin Wang, Seth J. Berkowitz, Steven Horng, Peter Szolovits, Polina Golland
2020	J	`jnl`	Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment. CoRR Geeticka Chauhan, Ruizhi Liao, William M. Wells III, Jacob Andreas, Xin Wang, Seth J. Berkowitz, Steven Horng, Peter Szolovits, Polina Golland
2020	J	`jnl`	Point of Care Image Capture with a Custom Smartphone Application: Experience with an Encounter-Based Workflow. J. Digit. Imaging Oren J. Mechanic, Nicholas D. Kurtzman, David T. Chiu, Larry A. Nathanson, Seth J. Berkowitz
2019	J	`jnl`	MIMIC-CXR: A large publicly available database of labeled chest radiographs. CoRR Alistair E. W. Johnson, Tom J. Pollard, Seth J. Berkowitz, Nathaniel R. Greenbaum, Matthew P. Lungren, Chih-ying Deng, Roger G. Mark, Steven Horng
2019	J	`jnl`	Semi-supervised Learning for Quantification of Pulmonary Edema in Chest X-Ray Images. CoRR Ruizhi Liao, Jonathan Rubin, Grace Lam, Seth J. Berkowitz, Sandeep Dalal, William M. Wells III, Steven Horng, Polina Golland