Publications

Karabulut MEfruz, Vijay-Shanker K., Peng Y.  2021.  CU-UD: text-mining drug and chemical-proteininteractions with ensembles of BERT-based models. BioCreative VII. :45-48.

Keenan TDL, Chen Q, Peng Y, Domalpally A, Agrón E, Hwang CK, Thavikulwat ATherese, Lee DHana, Li D, Wong WT et al..  2020.  Deep learning automated detection of reticular pseudodrusen from fundus autofluorescence images and color fundus photographs in the Age-Related Eye Disease Study 2 (AREDS2) . Investigative Ophthalmology & Visual Science. 61:1644.

Keenan TDL, Chen Q, Peng Y, Domalpally A, Agrón E, Hwang CK, Thavikulwat AT, Lee DH, Li D, Wong WT et al..  2020.  Deep Learning Automated Detection of Reticular Pseudodrusen from Fundus Autofluorescence Images or Color Fundus Photographs in AREDS2. Ophthalmology.

Peng Y, Lu Z.  2017.  Deep learning for extracting protein-protein interactions from biomedical literature. BioNLP 2017. :29–38.

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.

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.

Mathai TSudharshan, Lee S, Elton DC, Shen TC, Peng Y, Lu Z, Summers RM.  2021.  Detection of lymph nodes in T2 MRI using neural network ensembles. Learning in Medical Imaging (MLMI). :682-691.

Tang L, Kooragayalu S, Wang Y, Ding Y, Durrett G, Rousseau JF, Peng Y.  2022.  EchoGen: A New Benchmark Study on Generating Conclusions from Echocardiogram Notes.. Proc Conf Assoc Comput Linguist Meet. 2022:359-368.

Peng Y, Chen Q, Lu Z.  2020.  An Empirical Study of Multi-Task Learning on BERT for Biomedical Text Mining. Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing.

Peng Y, Tudor CO, Torii M, Wu CH, Vijay-Shanker K.  2013.  Enhancing the interoperability of iSimp by using the BioC format. Proceedings of the BioCreative IV Workshop. :5-9.

Lin M, Hou B, Mishra S, Yao T, Huo Y, Yang Q, Wang F, Shih G, Peng Y.  2023.  Enhancing thoracic disease detection using chest X-rays from PubMed Central Open Access.. Comput Biol Med. 159:106962.

Lin M, Xiao Y, Hou B, Wanyan T, Sharma MManoj, Wang Z, Wang F, Van Tassel S, Peng Y.  2023.  Evaluate underdiagnosis and overdiagnosis bias of deep learning model on primary open-angle glaucoma diagnosis in under-served populations.. AMIA Jt Summits Transl Sci Proc. 2023:370-377.

Sun Z, Ong H, Kennedy P, Tang L, Chen S, Elias J, Lucas E, Shih G, Peng Y.  2023.  Evaluating GPT4 on Impressions Generation in Radiology Reports.. Radiology. 307(5):e231259.

Tang L, Sun Z, Idnay B, Nestor JG, Soroush A, Elias PA, Xu Z, Ding Y, Durrett G, Rousseau JF et al..  2023.  Evaluating large language models on medical evidence summarization.. NPJ Digit Med. 6(1):158.

Kang T, Sun Y, Kim JHyun, Ta C, Perotte A, Schiffer K, Wu M, Zhao Y, Moustafa-Fahmy N, Peng Y et al..  2023.  EvidenceMap: a three-level knowledge representation for medical evidence computation and comprehension.. J Am Med Inform Assoc.

Peng Y, Arighi C, Wu CH, .Vijay-Shanker K.  2015.  Extended dependency graph for BioC-compatible protein-protein interaction (PPI) passage detection in full-text articles. Proceedings of the BioCreative V Workshop. :30-35.

Peng Y, Gupta S, Wu C, Shanker V.  2015.  An extended dependency graph for relation extraction in biomedical texts. Proceedings of BioNLP 15. :21–30.

Peng Y, Rios A, Kavuluru R, Lu Z.  2018.  Extracting chemical-protein relations with ensembles of SVM and deep learning models. Database (Oxford). 2018

Moukheiber D, Mahindre S, Moukheiber L, Moukheiber M, Wang S, Ma C, Shih G, Peng Y, Gao M.  2022.  Few-Shot Learning Geometric Ensemble for Multi-label Classification of Chest X-Rays.. Data Augment Label Imperfections (2022). 13567:112-122.

Yan K, Peng Y, Lu Z, Summers RM.  2019.  Fine-Grained Lesion Annotation in CT Images With Knowledge Mined From Radiology Reports. IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019). :285-288.

Peng Y, Torii M, Wu CH, Vijay-Shanker K.  2014.  A generalizable NLP framework for fast development of pattern-based biomedical relation extraction systems. BMC Bioinformatics. 15:285.

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.

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.

Yan K, Peng Y, Sandfort V, Bagheri M, Lu Z, Summers RM.  0.  Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning From Radiology Reports and Label Ontology. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). :8523-8532.

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.