Steven Horng - RankMe

41 papers A* 1Misc 4Journal 26Unranked 10

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Machine learning to predict notes for chart review in the oncology setting: a proof of concept strategy for improving clinician note-writing. J. Am. Medical Informatics Assoc. Sharon Jiang, Barbara D. Lam, Monica Agrawal, Shannon Shen, Nicholas Kurtzman, Steven Horng, David R. Karger, David A. Sontag
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`	Conceptualizing Machine Learning for Dynamic Information Retrieval of Electronic Health Record Notes. MLHC Sharon Jiang, Shannon Shen, Monica Agrawal, Barbara D. Lam, Nicholas Kurtzman, Steven Horng, David R. Karger, David A. Sontag
2023	J	`jnl`	Conceptualizing Machine Learning for Dynamic Information Retrieval of Electronic Health Record Notes. CoRR Sharon Jiang, Shannon Shen, Monica Agrawal, Barbara D. Lam, Nicholas Kurtzman, Steven Horng, David R. Karger, David A. Sontag
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	—	`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`	A visual representation of microbiological culture data improves comprehension: a randomized controlled trial. J. Am. Medical Informatics Assoc. Eugene Y. Kim, Anne V. Grossestreuer, Charles Safran, Larry A. Nathanson, Steven Horng
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	A*	`conf`	MedKnowts: Unified Documentation and Information Retrieval for Electronic Health Records. UIST Luke S. Murray, Divya Gopinath, Monica Agrawal, Steven Horng, David A. Sontag, David R. Karger
2021	J	`jnl`	MedKnowts: Unified Documentation and Information Retrieval for Electronic Health Records. CoRR Luke S. Murray, Divya Gopinath, Monica Agrawal, Steven Horng, David A. Sontag, David R. Karger
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
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	J	`jnl`	Derivation and validation of a machine learning record linkage algorithm between emergency medical services and the emergency department. J. Am. Medical Informatics Assoc. Colby Redfield, Abdulhakim Tlimat, Yoni Halpern, David W. Schoenfeld, Edward Ullman, David A. Sontag, Larry A. Nathanson, Steven Horng
2020	—	`conf`	Fast, Structured Clinical Documentation via Contextual Autocomplete. MLHC Divya Gopinath, Monica Agrawal, Luke S. Murray, Steven Horng, David R. Karger, David A. Sontag
2020	J	`jnl`	Fast, Structured Clinical Documentation via Contextual Autocomplete. CoRR Divya Gopinath, Monica Agrawal, Luke S. Murray, Steven Horng, David R. Karger, David A. Sontag
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	Misc	`conf`	Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health KnowledgeGraph. PSB Irene Y. Chen, Monica Agrawal, Steven Horng, David A. Sontag
2020	J	`jnl`	Secondary Use of Employee COVID-19 Symptom Reporting as Syndromic Surveillance as an Early Warning Signal of Future Hospitalizations. CoRR Steven Horng, Ashley O'Donoghue, Tenzin Dechen, Matthew Rabesa, Ayad Shammout, Lawrence Markson, Venkat Jegadeesan, Manu Tandon, Jennifer P. Stevens
2019	J	`jnl`	Consensus Development of a Modern Ontology of Emergency Department Presenting Problems - The Hierarchical Presenting Problem Ontology (HaPPy). Appl. Clin. Inform. Steven Horng, Nathaniel R. Greenbaum, Larry A. Nathanson, James C. McClay, Foster R. Goss, Jeffrey A. Nielson
2019	J	`jnl`	Improving documentation of presenting problems in the emergency department using a domain-specific ontology and machine learning-driven user interfaces. Int. J. Medical Informatics Nathaniel R. Greenbaum, Yacine Jernite, Yoni Halpern, Shelley Calder, Larry A. Nathanson, David A. Sontag, Steven Horng
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`	Mobile device ownership among emergency department patients. Int. J. Medical Informatics Eugene Y. Kim, John B. Torous, Steven Horng, Anne V. Grossestreuer, Jorge Rodriguez, Terrance Lee, Larry A. Nathanson
2019	J	`jnl`	Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health Knowledge Graph. CoRR Irene Y. Chen, Monica Agrawal, Steven Horng, David A. Sontag
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
2017	Misc	`conf`	Antimicrobial Susceptibility Data Visualization Tool. AMIA Eugene Y. Kim, Larry A. Nathanson, Evan L. Leventhal, Steven Horng
2016	J	`jnl`	A rules based algorithm to generate problem lists using emergency department medication reconciliation. Int. J. Medical Informatics Joshua W. Joseph, David T. Chiu, Larry A. Nathanson, Steven Horng
2016	—	`conf`	Clinical Tagging with Joint Probabilistic Models. MLHC Yoni Halpern, Steven Horng, David A. Sontag
2016	J	`jnl`	Clinical Tagging with Joint Probabilistic Models. CoRR Yoni Halpern, Steven Horng, David A. Sontag
2016	J	`jnl`	Electronic medical record phenotyping using the anchor and learn framework. J. Am. Medical Informatics Assoc. Yoni Halpern, Steven Horng, Youngduck Choi, David A. Sontag
2015	J	`jnl`	Anchored Discrete Factor Analysis. CoRR Yoni Halpern, Steven Horng, David A. Sontag
2014	Misc	`conf`	Generating Problem Lists Using Medication Reconciliation. AMIA Joshua W. Joseph, David T. Chiu, Larry A. Nathanson, Steven Horng
2014	Misc	`conf`	Using Anchors to Estimate Clinical State without Labeled Data. AMIA Yoni Halpern, Youngduck Choi, Steven Horng, David A. Sontag
2012	J	`jnl`	Prospective pilot study of a tablet computer in an Emergency Department. Int. J. Medical Informatics Steven Horng, Foster R. Goss, Richard S. Chen, Larry A. Nathanson