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.
Wang X, Peng Y, Lu L, Lu Z, Summers RM.
2018.
TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays. IEEE/CVF Conference on Computer Vision and Pattern Recognition. :9049-9058.
Wang X, Peng Y, Lu L, Lu Z, Bagheri M, Summers RM.
2019.
ChestX-ray: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly Supervised Classification and Localization of Common Thorax Diseases. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics. :369-392.
Wang S, Tang L, Lin M, Shih G, Ding Y, Peng Y.
2022.
Prior Knowledge Enhances Radiology Report Generation.. AMIA Annu Symp Proc. 2022:486-495.
Wang S, Lin M, Ding Y, Shih G, Lu Z, Peng Y.
2022.
Radiology Text Analysis System (RadText): Architecture and Evaluation.. IEEE Int Conf Healthc Inform. 2022:288-296.
Wang S, Tang L, Majety A, Rousseau JF, Shih G, Ding Y, Peng Y.
2022.
Trustworthy assertion classification through prompting.. J Biomed Inform. 132:104139.
Wei C-H, Peng Y, Leaman R, Davis APeter, Mattingly CJ, Li J, Wiegers TC, Lu Z.
2015.
Overview of the Biocreative V chemical disease relation (CDR) task. Proceedings of the BioCreative V Workshop. :154-166.
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.