Publications

Zhou Z, Deng Y, Liu L, Jiang H, Peng Y, Yang X, Zhao Y, Ning H, Allen NB, Wilkins JT et al..  2026.  Deep Neural Network With a Smooth Monotonic Output Layer for Dynamic Risk Prediction.. Stat Med. 45(3-5):e70401.

Teran F, Owyang CG, Wray TC, Hipskind JE, Lessard J, Michel WBédard, Lanthier C, Nazerian P, de Villa E, Nogueira J et al..  2025.  Development and Implementation of a Multicenter Registry for Resuscitation-Focused Transesophageal Echocardiography.. Ann Emerg Med. 85(2):147-162.

Teran F, Owyang CG, Wray TC, Hipskind JE, Lessard J, Michel WBédard, Lanthier C, Nazerian P, de Villa E, Nogueira J et al..  2025.  Development and Implementation of a Multicenter Registry for Resuscitation-Focused Transesophageal Echocardiography.. Ann Emerg Med. 85(2):147-162.

Wang Z, Cao L, Jin Q, Chan J, Wan N, Afzali B, Cho H-J, Choi C-I, Emamverdi M, Gill MK et al..  2025.  A foundation model for human-AI collaboration in medical literature mining.. Nat Commun. 16(1):8361.

Zhang G, Xu Z, Jin Q, Chen F, Fang Y, Liu Y, Rousseau JF, Xu Z, Lu Z, Weng C et al..  2025.  Leveraging long context in retrieval augmented language models for medical question answering.. NPJ Digit Med. 8(1):239.

Zhang G, Jin Q, Zhou Y, Wang S, Idnay B, Luo Y, Park E, Nestor JG, Spotnitz ME, Soroush A et al..  2024.  Closing the gap between open source and commercial large language models for medical evidence summarization.. NPJ Digit Med. 7(1):239.

Wei Y, Deng Y, Sun C, Lin M, Jiang H, Peng Y.  2024.  Deep learning with noisy labels in medical prediction problems: a scoping review.. J Am Med Inform Assoc. 31(7):1596-1607.

Jin Q, Chen F, Zhou Y, Xu Z, Cheung JM, Chen R, Summers RM, Rousseau JF, Ni P, Landsman MJ et al..  2024.  Hidden flaws behind expert-level accuracy of multimodal GPT-4 vision in medicine.. NPJ Digit Med. 7(1):190.

Zhang G, Jin Q, McInerney DJered, Chen Y, Wang F, Cole CL, Yang Q, Wang Y, Malin BA, Peleg M et al..  2024.  Leveraging generative AI for clinical evidence synthesis needs to ensure trustworthiness.. J Biomed Inform. 153:104640.

Holste G, Zhou Y, Wang S, Jaiswal A, Lin M, Zhuge S, Yang Y, Kim D, Nguyen-Mau T-H, Tran M-T et al..  2024.  Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge.. Med Image Anal. 97:103224.

Holste G, Zhou Y, Wang S, Jaiswal A, Lin M, Zhuge S, Yang Y, Kim D, Nguyen-Mau T-H, Tran M-T et al..  2024.  Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge.. Med Image Anal. 97:103224.

Jaiswal A, Chen T, Rousseau JF, Peng Y, Ding Y, Wang Z.  2023.  Attend Who is Weak: Pruning-assisted Medical Image Localization under Sophisticated and Implicit Imbalances.. IEEE Winter Conf Appl Comput Vis. 2023:4976-4985.

Patra BGopal, Sun Z, Cheng Z, Kumar PKasi Reddy, Altammami A, Liu Y, Joly R, Jedlicka C, Delgado D, Pathak J et al..  2023.  Automated classification of lay health articles using natural language processing: a case study on pregnancy health and postpartum depression.. Front Psychiatry. 14:1258887.

Patra BGopal, Sun Z, Cheng Z, Kumar PKasi Reddy, Altammami A, Liu Y, Joly R, Jedlicka C, Delgado D, Pathak J et al..  2023.  Automated classification of lay health articles using natural language processing: a case study on pregnancy health and postpartum depression.. Front Psychiatry. 14:1258887.

Xu J, Wang F, Zang C, Zhang H, Niotis K, Liberman AL, Stonnington CM, Ishii M, Adekkanattu P, Luo Y et al..  2023.  Comparing the effects of four common drug classes on the progression of mild cognitive impairment to dementia using electronic health records.. Sci Rep. 13(1):8102.

Deng Y, Liu L, Jiang H, Peng Y, Wei Y, Zhou Z, Zhong Y, Zhao Y, Yang X, Yu J et al..  2023.  Comparison of State-of-the-Art Neural Network Survival Models with the Pooled Cohort Equations for Cardiovascular Disease Risk Prediction.. BMC Med Res Methodol. 23(1):22.

Holste G, Jiang Z, Jaiswal A, Hanna M, Minkowitz S, Legasto AC, Escalon JG, Steinberger S, Bittman M, Shen TC et al..  2023.  How Does Pruning Impact Long-Tailed Multi-label Medical Image Classifiers? Med Image Comput Comput Assist Interv. 14224:663-673.

Holste G, Jiang Z, Jaiswal A, Hanna M, Minkowitz S, Legasto AC, Escalon JG, Steinberger S, Bittman M, Shen TC et al..  2023.  How Does Pruning Impact Long-Tailed Multi-label Medical Image Classifiers? Med Image Comput Comput Assist Interv. 14224:663-673.

Adekkanattu P, Rasmussen LV, Pacheco JA, Kabariti J, Stone DJ, Yu Y, Jiang G, Luo Y, Brandt PS, Xu Z et al..  2023.  Prediction of left ventricular ejection fraction changes in heart failure patients using machine learning and electronic health records: a multi-site study.. Sci Rep. 13(1):294.

Brandt PS, Pacheco JA, Adekkanattu P, Sholle ET, Abedian S, Stone DJ, Knaack DM, Xu J, Xu Z, Peng Y et al..  2022.  Design and validation of a FHIR-based EHR-driven phenotyping toolbox.. J Am Med Inform Assoc. 29(9):1449-1460.

Holste G, Wang S, Jiang Z, Shen TC, Shih G, Summers RM, Peng Y, Wang Z.  2022.  Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study.. Data Augment Label Imperfections (2022). 13567:22-32.

Jaiswal A, Ashutosh K, Rousseau JF, Peng Y, Wang Z, Ding Y.  2022.  RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging.. Proc IEEE Int Conf Data Min. 2022:981-986.

Ji Z, Shaikh MAbuzar, Moukheiber D, Srihari SN, Peng Y, Gao M.  2021.  Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment. International Workshop on Machine Learning in Medical Imaging.

Jaiswal A, Tang L, Ghosh M, Rousseau J, Peng Y, Ding Y.  2021.  RadBERT-CL: Factually-Aware Contrastive Learning for Radiology Report Classification. Machine Learning for Health (ML4H). :196-208.

Jaiswal A, Li T, Zander C, Han Y, Rousseau JF, Peng Y, Ding Y.  2021.  SCALP - Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata. The IEEE International Conference on Data Mining (ICDM).