Publications

Found 104 results
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Liu H, Peng Y, Weng C.  2023.  How Good Is ChatGPT for Medication Evidence Synthesis? Stud Health Technol Inform. 302:1062-1066.
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Benda NC, Rogers C, Sharma M, Narain W, Diamond LC, Ancker J, Seier K, Stetson PD, Sulieman L, Armstrong M et al..  2022.  Identifying Nonpatient Authors of Patient Portal Secure Messages in Oncology: A Proof-of-Concept Demonstration of Natural Language Processing Methods.. JCO Clin Cancer Inform. 6:e2200071.
Armstrong M, Benda NC, Seier K, Rogers C, Ancker J, Stetson PD, Peng Y, Diamond L.  2023.  Improving Cancer Care Communication: Identifying Sociodemographic Differences in Patient Portal Secure Messages Not Authored by the Patient.. Appl Clin Inform.
Peng Y, Wei C-H, Lu Z.  2016.  Improving chemical disease relation extraction with rich features and weakly labeled data. J Cheminform. 8:53.
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.
Lin M, Li T, Yang Y, Holste G, Ding Y, Van Tassel SH, Kovacs K, Shih G, Wang Z, Lu Z et al..  2023.  Improving model fairness in image-based computer-aided diagnosis.. Nat Commun. 14(1):6261.
Peng Y, Tudor CO, Torii M, Wu CH, Vijay-Shanker K..  2012.  iSimp: A sentence simplification system for biomedicail text. IEEE International Conference on Bioinformatics and Biomedicine. :211-216.
Peng Y, Tudor CO, Torii M, Wu CH, Vijay-Shanker K.  2014.  iSimp in BioC standard format: enhancing the interoperability of a sentence simplification system. Database (Oxford). 2014
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Wang X, Peng Y, Lu L, Lu Z, Summers RM.  2018.  Method and system of building hospital-scale chest x-ray database for entity extraction and weakly-supervised classification and localization of common thorax diseases .
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.
Li G, Ross KE, Arighi CN, Peng Y, Wu CH, Vijay-Shanker K.  2015.  miRTex: A Text Mining System for miRNA-Gene Relation Extraction. PLoS Comput Biol. 11(9):e1004391.
Du J, Chen Q, Peng Y, Xiang Y, Tao C, Lu Z.  2019.  ML-Net: multi-label classification of biomedical texts with deep neural networks. J Am Med Inform Assoc. 26(11):1279-1285.
Yan K, Tang Y, Peng Y, Sandfort V, Bagheri M, Lu Z, Summers RM.  2019.  MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation. Medical Image Computing and Computer Assisted Intervention – MICCAI. 11769:194-202.
Chen Q, Keenan TDL, Allot A, Peng Y, Agrón E, Domalpally A, Klaver CCW, Luttikhuizen DT, Colyer MH, Cukras CA et al..  2021.  Multimodal, multitask, multiattention (M3) deep learning detection of reticular pseudodrusen: Toward automated and accessible classification of age-related macular degeneration.. J Am Med Inform Assoc.
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.
Chen Q, Peng Y, Keenan T, Dharssi S, N EAgro, Wong WT, Chew EY, Lu Z.  2019.  A multi-task deep learning model for the classification of Age-related Macular Degeneration. AMIA Jt Summits Transl Sci Proc. 2019:505-514.
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.