Publications

Lin M, Holste G, Wang S, Zhou Y, Wei Y, Banerjee I, Chen P, Dai T, Du Y, Dvornek NC et al..  2025.  CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray.. Med Image Anal. 106:103739.

Lin M, Holste G, Wang S, Zhou Y, Wei Y, Banerjee I, Chen P, Dai T, Du Y, Dvornek NC et al..  2025.  CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray.. Med Image Anal. 106:103739.

Wang Y, Hilsman J, Li C, Morris M, Heider PM, Fu S, Kwak MJi, Wen A, Applegate JR, Wang L et al..  2025.  Development and Validation of Natural Language Processing Algorithms in the ENACT National Electronic Health Record Research Network.. medRxiv.

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.

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.

Wang S, Wei Y, Ma H, Lovitt M, Deng K, Meng Y, Xu Z, Zhang J, Xiao Y, Ding Y et al..  2025.  A multi-stage large language model framework for extracting suicide-related social determinants of health.. Commun Med (Lond). 5(1):404.

Lu Z, Peng Y, Cohen T, Ghassemi M, Weng C, Tian S.  2024.  Large language models in biomedicine and health: current research landscape and future directions.. J Am Med Inform Assoc. 31(9):1801-1811.

Wang S, Zhou Y, Han Z, Tao C, Xiao Y, Ding Y, Ghosh J, Peng Y.  2024.  A natural language processing approach to detect inconsistencies in death investigation notes attributing suicide circumstances.. Commun Med (Lond). 4(1):199.

Wangyan T, Sun Q, Grizzard P, Liu J, Peng Y.  2023.  A new deep learning framework to process Matrix-assisted Laser Desorption/Ionisation Mass Spectrometry Imaging (MALDI-MSI) data of Tissue Microarrays (TMAs).. AMIA Jt Summits Transl Sci Proc. 2023:554-561.

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.

Keloth VK, Banda JM, Gurley M, Heider PM, Kennedy G, Liu H, Liu F, Miller T, Natarajan K, Patterson OV et al..  2023.  Representing and Utilizing Clinical Textual Data for Real World Studies: An OHDSI Approach.. J Biomed Inform. :104343.

Lin M, Hou B, Liu L, Gordon M, Kass M, Wang F, Van Tassel SH, Peng Y.  2022.  Automated diagnosing primary open-angle glaucoma from fundus image by simulating human's grading with deep learning.. Sci Rep. 12(1):14080.

Moukheiber D, Mahindre S, Moukheiber L, Moukheiber M, Wang S, Ma C, Shih G, Peng Y, Gao M.  2022.  Few-Shot Learning Geometric Ensemble for Multi-label Classification of Chest X-Rays.. Data Augment Label Imperfections (2022). 13567:112-122.

Wang S, Lin M, Ghosal T, Ding Y, Peng Y.  2022.  Knowledge Graph Applications in Medical Imaging Analysis: A Scoping Review.. Health Data Sci. 2022

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.

Lin M, Liu L, Gorden M, Kass M, Van Tassel S, Wang F, Peng Y.  2022.  Multi-scale Multi-structure Siamese Network (MMSNet) for Primary Open-Angle Glaucoma Prediction.. Mach Learn Med Imaging. 13583:436-445.

Lee J, Wanyan T, Chen Q, Keenan TDL, Glicksberg BS, Chew EY, Lu Z, Wang F, Peng Y.  2022.  Predicting Age-related Macular Degeneration Progression with Longitudinal Fundus Images Using Deep Learning.. Mach Learn Med Imaging. 13583:11-20.

Wanyan T, Lin M, Klang E, Menon KM, Gulamali FF, Azad A, Zhang Y, Ding Y, Wang Z, Wang F et al..  2022.  Supervised Pretraining through Contrastive Categorical Positive Samplings to Improve COVID-19 Mortality Prediction.. ACM BCB. 2022

Wanyan T, Lin M, Klang E, Menon KM, Gulamali FF, Azad A, Zhang Y, Ding Y, Wang Z, Wang F et al..  2022.  Supervised Pretraining through Contrastive Categorical Positive Samplings to Improve COVID-19 Mortality Prediction.. ACM BCB. 2022

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.

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.

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.

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, 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.

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.