Publications

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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 S, Zhu Y, Lee S, Elton DC, Shen TC, Tang Y, Peng Y, Lu Z, Summers RM.  2022.  Global-Local attention network with multi-task uncertainty loss for abnormal lymph node detection in MR images.. Med Image Anal. 77:102345.
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 X, Peng Y, Lu L, Lu Z, Bagheri M, Summers RM.  2017.  ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). :2097-2106.
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, Ghosal T, Ding Y, Peng Y.  2022.  Knowledge Graph Applications in Medical Imaging Analysis: A Scoping Review.. Health Data Sci. 2022
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, Dang Y, Sun Z, Ding Y, Pathak J, Tao C, Xiao Y, Peng Y.  2023.  An NLP approach to identify SDoH-related circumstance and suicide crisis from death investigation narratives.. J Am Med Inform Assoc.
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.
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 .
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.
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
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 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