Yifan Peng

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Zhiyong LuSenior Investigator, NLM; Adjunct Professor of CS, UIUCVerified email at nih.gov
Ronald M. Summers, MD, PhDNational Institutes of Health Clinical CenterVerified email at nih.gov
Qingyu ChenBiomedical Informatics & Data Science, Yale University; NCBI-NLM, National Institutes of HealthVerified email at yale.edu
Le LuAlibaba DAMO Academy, IEEE Fellow, MICCAI Board Member (2021-2024)Verified email at alibaba-inc.com
Xiaosong WangShanghai AI LaboratoryVerified email at pjlab.org.cn
Cathy WuUniversity of DelawareVerified email at udel.edu
K Vijay-ShankerProfessor of Computer Science, University of DelawareVerified email at udel.edu
Chih Hsuan WeiStaff Scientist, NCBI (National Center for Biotechnology Information) / NLM / NIHVerified email at ncbi.nlm.nih.gov
Manabu ToriiKaiser PermanenteVerified email at kp.org
Robert LeamanStaff Scientist, NCBI/NLM/NIHVerified email at nih.gov
Rezarta IslamajNational Center for Biotechnology Information, National Library of Medicine, National Institutes ofVerified email at nih.gov
Carolyn MattinglyProfessor, Biological Sciences, North Carolina State UniversityVerified email at ncsu.edu
Cecilia ArighiUniversity of DelawareVerified email at udel.edu
Catalina Oana TudorChief Software and Information Officer, Urban Mining CompanyVerified email at urbanminingco.com
Karin VerspoorExecutive Dean, School of Computing Technologies, RMIT UniversityVerified email at rmit.edu.au
Fabio RinaldiDalle Molle Institute for Artificial Intelligence Research (IDSIA), LuganoVerified email at idsia.ch
Ramakanth KavuluruProfessor, University of KentuckyVerified email at uky.edu
Anthony RiosAssistant Professor in Information Systems and Cyber SecurityVerified email at utsa.edu
Alfonso ValenciaICREA Professor. Barcelona Supercomputing Center.Verified email at bsc.es
Martin Krallinger*Head of Natural Language Processing for Biomedical Information Analysis (NLP4BIA), BarcelonaVerified email at bsc.es

Yifan Peng

Associate Professor at Weill Cornell Medicine

Verified email at med.cornell.edu - Homepage

NLP CV machine learning


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Chestx-ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases X Wang, Y Peng, L Lu, Z Lu, M Bagheri, RM Summers Proceedings of the IEEE conference on computer vision and pattern …, 2017	4800	2017
Opportunities and obstacles for deep learning in biology and medicine T Ching, DS Himmelstein, BK Beaulieu-Jones, AA Kalinin, BT Do, ... Journal of the royal society interface 15 (141), 20170387, 2018	2177	2018
Transfer learning in biomedical natural language processing: an evaluation of BERT and ELMo on ten benchmarking datasets Y Peng, S Yan, Z Lu arXiv preprint arXiv:1906.05474, 2019	1025	2019
MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs AEW Johnson, TJ Pollard, S Berkowitz, NR Greenbaum, MP Lungren, ... arXiv preprint arXiv:1901.07042, 2019	858	2019
Tienet: Text-image embedding network for common thorax disease classification and reporting in chest x-rays X Wang, Y Peng, L Lu, Z Lu, RM Summers Proceedings of the IEEE conference on computer vision and pattern …, 2018	605	2018
Assessing the state of the art in biomedical relation extraction: overview of the BioCreative V chemical-disease relation (CDR) task CH Wei, Y Peng, R Leaman, AP Davis, CJ Mattingly, J Li, TC Wiegers, ... Database 2016, baw032, 2016	421	2016
DeepSeeNet: a deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographs Y Peng, S Dharssi, Q Chen, TD Keenan, E Agrón, WT Wong, EY Chew, ... Ophthalmology 126 (4), 565-575, 2019	320	2019
BioSentVec: creating sentence embeddings for biomedical texts Q Chen, Y Peng, Z Lu 2019 IEEE International Conference on Healthcare Informatics (ICHI), 1-5, 2019	219	2019
NegBio: a high-performance tool for negation and uncertainty detection in radiology reports Y Peng, X Wang, L Lu, M Bagheri, R Summers, Z Lu AMIA Summits on Translational Science Proceedings 2018, 188, 2018	217	2018
Automated abnormality classification of chest radiographs using deep convolutional neural networks YX Tang, YB Tang, Y Peng, K Yan, M Bagheri, BA Redd, CJ Brandon, ... NPJ digital medicine 3 (1), 70, 2020	215	2020
BioC: a minimalist approach to interoperability for biomedical text processing DC Comeau, R Islamaj Doğan, P Ciccarese, KB Cohen, M Krallinger, ... Database 2013, 2013	211	2013
ML-Net: multi-label classification of biomedical texts with deep neural networks J Du, Q Chen, Y Peng, Y Xiang, C Tao, Z Lu Journal of the American Medical Informatics Association 26 (11), 1279-1285, 2019	165	2019
Evaluating large language models on medical evidence summarization L Tang, Z Sun, B Idnay, JG Nestor, A Soroush, PA Elias, Z Xu, Y Ding, ... NPJ digital medicine 6 (1), 158, 2023	140	2023
LitVar: a semantic search engine for linking genomic variant data in PubMed and PMC A Allot, Y Peng, CH Wei, K Lee, L Phan, Z Lu Nucleic acids research 46 (W1), W530-W536, 2018	135	2018
Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases X Wang, Y Peng, L Lu, Z Lu, M Bagheri, R Summers IEEE CVPR 7, 46, 2017	131	2017
Deep learning for extracting protein-protein interactions from biomedical literature Y Peng, Z Lu arXiv preprint arXiv:1706.01556, 2017	128	2017
An empirical study of multi-task learning on BERT for biomedical text mining Y Peng, Q Chen, Z Lu arXiv preprint arXiv:2005.02799, 2020	111	2020
Extracting chemical–protein relations with ensembles of SVM and deep learning models Y Peng, A Rios, R Kavuluru, Z Lu Database 2018, bay073, 2018	106	2018
MULAN: multitask universal lesion analysis network for joint lesion detection, tagging, and segmentation K Yan, Y Tang, Y Peng, V Sandfort, M Bagheri, Z Lu, RM Summers Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019	103	2019
COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literature Y Peng, Y Tang, S Lee, Y Zhu, RM Summers, Z Lu IEEE transactions on big data 7 (1), 3-12, 2020	93	2020

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