Publications

Flanders AE, Peng Y, Prevedello L, Ball R, Colak E, Menon P, Shih G, Lin H-M, Lakhani P.  2026.  A multi-agent large language model framework to automatically assess performance of a clinical AI Triage tool.. Npj Health Syst. 3

Flanders AE, Wang X, Wu CC, Kitamura FC, Shih G, Mongan J, Peng Y.  2025.  The Evolution of Radiology Image Annotation in the Era of Large Language Models.. Radiol Artif Intell. 7(4):e240631.

Gautam N, Elhusseiny A, Mansour M, Mehta JL, Andersen OS, Peng Y, Al'Aref SJ.  2025.  Exploring the feasibility of using artificial intelligence to simulate the placebo arm of randomized clinical trials.. Postgrad Med J.

Ghahramani G, Brendel M, Lin M, Chen Q, Keenan T, Chen K, Chew E, Lu Z, Peng Y, Wang F.  2021.  Multi-task deep learning-based survival analysis on the prognosis of late AMD using the longitudinal data in AREDS.. AMIA Annu Symp Proc. 2021:506-515.

Ghahramani GC, Brendel M, Chen Q, Keenan TD, Chen K, Chew EY, Lu Z, Peng Y, Wang F.  2021.  Deep learning survival analysis on the progression to late AMD in the Age-Related Eye Disease Study. Investigative Ophthalmology & Visual Science.

Han Y, Chen C, Tewfik A, Glicksberg B, Ding Y, Peng Y, Wang Z.  2022.  Knowledge-Augmented Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop.. IEEE Winter Conf Appl Comput Vis. 2022:1789-1798.

Han Y, Holste G, Ding Y, Tewfik A, Peng Y, Wang Z.  2022.  Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-Rays.. IEEE Trans Med Imaging. PP

Han Y, Chen C, Tewfik AH, Ding Y, Peng Y.  2021.  Pneumonia Detection on Chest X-ray using Radiomic Features and Contrastive Learning. IEEE International Symposium on Biomedical Imaging (ISBI).

Han Y, Chen C, Tang L, Lin M, Jaiswal A, Wang S, Tewfik A, Shih G, Ding Y, Peng Y.  2021.  Using Radiomics as Prior Knowledge for Thorax Disease Classification and Localization in Chest X-rays.. AMIA Annu Symp Proc. 2021:546-555.

Han Z, Shen M, Liu H, Peng Y.  2022.  Topical and emotional expressions regarding extreme weather disasters on social media: a comparison of posts from official media and the public.. Humanit Soc Sci Commun. 9(1):421.

He S, Nie Y, Wang H, Yang S, Wang Y, Cai Z, Chen Z, Xu Y, Wu L, Cheng NShing et al..  2026.  Towards generalizable AI in medicine via Generalist-Specialist Collaboration.. Nat Biomed Eng.

He X, Zhang R, Alpert J, Zhou S, Adam TJ, Raisa A, Peng Y, Zhang H, Guo Y, Bian J.  2021.  When text simplification is not enough: could a graph-based visualization facilitate consumers' comprehension of dietary supplement information? JAMIA Open. 4(1):ooab026.

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, 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.

Holste G, Lin M, Zhou R, Wang F, Liu L, Yan Q, Van Tassel SH, Kovacs K, Chew EY, Lu Z et al..  2024.  Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling.. NPJ Digit Med. 7(1):216.

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.

Idnay B, Xu Z, Adams WG, Adibuzzaman M, Anderson NR, Bahroos N, Bell DS, Bumgardner C, Campion T, Castro M et al..  2025.  Environment scan of generative AI infrastructure for clinical and translational science.. Npj Health Syst. 2(1):4.

Islamaj R, Leaman R, Kim S, Kwon D, Wei C-H, Comeau DC, Peng Y, Cissel D, Coss C, Fisher C et al..  2021.  NLM-Chem, a new resource for chemical entity recognition in PubMed full text literature.. Sci Data. 8(1):91.

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.

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.

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).

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.

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.

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.

Johnson AEW, Pollard TJ, Greenbaum NR, Lungren MP, Deng C-ying, Peng Y, Lu Z, Mark RG, Berkowitz SJ, Horng S.  0.  MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs.