Publications

Xu RLi, Wang S, Wang Z, Zhang Y, Xiao Y, Pathak J, Hodge D, Leng Y, S Watkins C, Ding Y et al..  2024.  Analyzing Social Factors to Enhance Suicide Prevention Across Population Groups.. Proc (IEEE Int Conf Healthc Inform). 2024:189-199.

Oniani D, Hilsman J, Peng Y, Poropatich RK, Pamplin JC, Legault GL, Wang Y.  2023.  Adopting and expanding ethical principles for generative artificial intelligence from military to healthcare.. NPJ Digit Med. 6(1):225.

Peng Y, Rousseau JF, Shortliffe EH, Weng C.  2023.  AI-generated text may have a role in evidence-based medicine.. Nat Med.

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.

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.

Tang Y-X, Tang Y-B, Peng Y, Yan K, Bagheri M, Redd BA, Brandon CJ, Lu Z, Han M, Xiao J et al..  2020.  Automated abnormality classification of chest radiographs using deep convolutional neural networks. NPJ Digit Med. 3:70.

Peng Y, Lee S, Elton DC, Shen T, Tang Y-xing, Chen Q, Wang S, Zhu Y, Summers R, Lu Z.  2020.  Automatic recognition of abdominal lymph nodes from clinical text. Proceedings of the 3rd Clinical Natural Language Processing Workshop.

Wang X, Peng Y, Lu L, Lu Z, Summers RM.  2019.  Automatic Classification and Reporting of Multiple Common Thorax Diseases Using Chest Radiographs. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics. Advances in Computer Vision and Pattern Recognition. :393-412.

Wei C-H, Peng Y, Leaman R, Davis APeter, Mattingly CJ, Li J, Wiegers TC, Lu Z.  2016.  Assessing the state of the art in biomedical relation extraction: overview of the BioCreative V chemical-disease relation (CDR) task. Database (Oxford). 2016