Publications

Found 54 results
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2023
Tong J, Luo C, Sun Y, Duan R, Saine E, Lin L, Peng Y, Lu Y, Batra A, Pan A et al..  2023.  Confidence Score: A Data-Driven Measure for Inclusive Systematic Reviews Considering Unpublished Preprints.. J Am Med Inform Assoc.
Holste G, Jiang Z, Jaiswal A, Hanna M, Minkowitz S, Legasto AC, Escalon JG, Steinberger S, Bittman M, Shen TC et al..  2023.  How Does Pruning Impact Long-Tailed Multi-label Medical Image Classifiers? Med Image Comput Comput Assist Interv. 14224:663-673.
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.
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.
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.
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.
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.
2022
Brandt PS, Pacheco JA, Adekkanattu P, Sholle ET, Abedian S, Stone DJ, Knaack DM, Xu J, Xu Z, Peng Y et al..  2022.  Design and validation of a FHIR-based EHR-driven phenotyping toolbox.. J Am Med Inform Assoc. 29(9):1449-1460.
Brandt PS, Pacheco JA, Adekkanattu P, Sholle ET, Abedian S, Stone DJ, Knaack DM, Xu J, Xu Z, Peng Y et al..  2022.  Design and validation of a FHIR-based EHR-driven phenotyping toolbox.. J Am Med Inform Assoc. 29(9):1449-1460.
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.
2021
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.
Paul A, Shen TC, Lee S, Balachandar N, Peng Y, Lu Z, Summers RM.  2021.  Generalized Zero-shot Chest X-ray Diagnosis through Trait-Guided Multi-view Semantic Embedding with Self-training.. IEEE Trans Med Imaging.
Lee HGi, Scholle E, Al'Aref S, Beecy A, Peng Y.  2021.  Leveraging Deep Representations of Radiology Reports in Survival Analysis for Predicting Heart Failure Patient Mortality. NAACL.
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.
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.
2020
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.
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.
Paul A, Shen TC, Balachandar N, Tang Y, Peng Y, Lu Z, Summers RM.  2020.  COMe-SEE: Cross-modality Semantic Embedding Ensemble for Generalized Zero-Shot Diagnosis of Chest Radiographs. Procceddings of the Workshop on Medical Image Learning with Less Labels and Imperfect Data (MIL3ID). :103-111.
2019
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.
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.
2018
Peng Y, Wang X, Lu L, Bagheri M, Summers R, Lu Z.  2018.  NegBio: a high-performance tool for negation and uncertainty detection in radiology reports. AMIA Jt Summits Transl Sci Proc. 2017:188-196.
Ching T, Himmelstein DS, Beaulieu-Jones BK, Kalinin AA, Do BT, Way GP, Ferrero E, Agapow P-M, Zietz M, Hoffman MM et al..  2018.  Opportunities and obstacles for deep learning in biology and medicine. J R Soc Interface. 15(141)
Ching T, Himmelstein DS, Beaulieu-Jones BK, Kalinin AA, Do BT, Way GP, Ferrero E, Agapow P-M, Zietz M, Hoffman MM et al..  2018.  Opportunities and obstacles for deep learning in biology and medicine. J R Soc Interface. 15(141)
2017
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.