Publications

Islamaj R, Leaman R, Kim S, Kwon D, Wei C-H, Comeau DC, Peng Y, Cissel D, Coss C, Fisher C et al..  2021.  NLM-Chem, a new resource for chemical entity recognition in PubMed full text literature.. Sci Data. 8(1):91.

Jaiswal A, Ashutosh K, Rousseau JF, Peng Y, Wang Z, Ding Y.  2022.  RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging.. Proc IEEE Int Conf Data Min. 2022:981-986.

Jaiswal A, Chen T, Rousseau JF, Peng Y, Ding Y, Wang Z.  2023.  Attend Who is Weak: Pruning-assisted Medical Image Localization under Sophisticated and Implicit Imbalances.. IEEE Winter Conf Appl Comput Vis. 2023:4976-4985.

Jaiswal A, Li T, Zander C, Han Y, Rousseau JF, Peng Y, Ding Y.  2021.  SCALP - Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata. The IEEE International Conference on Data Mining (ICDM).

Jaiswal A, Tang L, Ghosh M, Rousseau J, Peng Y, Ding Y.  2021.  RadBERT-CL: Factually-Aware Contrastive Learning for Radiology Report Classification. Machine Learning for Health (ML4H). :196-208.

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.

Johnson AEW, Pollard TJ, Greenbaum NR, Lungren MP, Deng C-ying, Peng Y, Lu Z, Mark RG, Berkowitz SJ, Horng S.  0.  MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs.

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.

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.

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.

Kim S, Doğan RIslamaj, Chatr-Aryamontri A, Chang CS, Oughtred R, Rust J, Batista-Navarro R, Carter J, Ananiadou S, Matos S et al..  2016.  BioCreative V BioC track overview: collaborative biocurator assistant task for BioGRID. Database (Oxford). 2016

Lee J, Wanyan T, Chen Q, Keenan TDL, Glicksberg BS, Chew EY, Lu Z, Wang F, Peng Y.  2022.  Predicting Age-related Macular Degeneration Progression with Longitudinal Fundus Images Using Deep Learning.. Mach Learn Med Imaging. 13583:11-20.

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.

Li G, Ross KE, Arighi CN, Peng Y, Wu CH, Vijay-Shanker K.  2015.  miRTex: A Text Mining System for miRNA-Gene Relation Extraction. PLoS Comput Biol. 11(9):e1004391.

Lin M, Hou B, Liu L, Gordon M, Kass M, Wang F, Van Tassel SH, Peng Y.  2022.  Automated diagnosing primary open-angle glaucoma from fundus image by simulating human's grading with deep learning.. Sci Rep. 12(1):14080.

Lin M, Liu L, Gorden M, Kass M, Van Tassel S, Wang F, Peng Y.  2022.  Multi-scale Multi-structure Siamese Network (MMSNet) for Primary Open-Angle Glaucoma Prediction.. Mach Learn Med Imaging. 13583:436-445.

Lin M, Li T, Yang Y, Holste G, Ding Y, Van Tassel SH, Kovacs K, Shih G, Wang Z, Lu Z et al..  2023.  Improving model fairness in image-based computer-aided diagnosis.. Nat Commun. 14(1):6261.

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.

Liu H, Peng Y, Weng C.  2023.  How Good Is ChatGPT for Medication Evidence Synthesis? Stud Health Technol Inform. 302:1062-1066.

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.

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.

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.