Publications

Han Y, Chen C, Tewfik AH, Ding Y, Peng Y.  2021.  Pneumonia Detection on Chest X-ray using Radiomic Features and Contrastive Learning. IEEE International Symposium on Biomedical Imaging (ISBI).

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.

Yeganova L, Islamaj R, Chen Q, Leaman R, Allot A, Wei C-H, Comeau DC, Kim W, Peng Y, W. Wilbur J et al..  2020.  Navigating the landscape of COVID-19 research through literature analysis: A bird's eye view. KDD AI for COVID.

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.

Mathai TSudharshan, Lee S, Elton DC, Shen TC, Peng Y, Lu Z, Summers RM.  2022.  Lymph node detection in T2 MRI with transformers. SPIE Medical Imaging. :120333B.

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.

Paul A, Shen TC, Peng Y, Lu Z, Summers RM.  2021.  Learning few-shot chest X-ray diagnosis using images from the published scientific literature. IEEE International Symposium on Biomedical Imaging (ISBI).

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.

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.

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.

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, 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, 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, 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.

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.

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.

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

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.

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.

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.

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.

Peng Y, Rios A, Kavuluru R, Lu Z.  2017.  Chemical-protein relation extraction with ensembles of SVM, CNN, and RNN models. Proceedings of the BioCreative VI Workshop. :148-151.

Chen Q, Peng Y, Lu Z.  2019.  BioSentVec: creating sentence embeddings for biomedical texts. IEEE International Conference on Healthcare Informatics (ICHI).

Doğan RIslamaj, Chatr-aryamontri A, Kim S, Wei C-H, Peng Y, Comeau D, Lu Z.  2017.  BioCreative VI Precision Medicine Track: creating a training corpus for mining protein-protein interactions affected by mutations. BioNLP 2017. :171–175.

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.