Yifan Peng

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Coauteurs

Zhiyong LuSenior Investigator, NLM; Adjunct Professor of CS, UIUCAdresse e-mail validée de nih.gov
Ronald M. Summers, MD, PhDNational Institutes of Health Clinical CenterAdresse e-mail validée de nih.gov
Qingyu ChenBiomedical Informatics & Data Science, Yale University; NCBI-NLM, National Institutes of HealthAdresse e-mail validée de yale.edu
Ying DingBill & Lewis Suit Professor, School of Information, Dell Med, University of Texas at AustinAdresse e-mail validée de austin.utexas.edu
Le LuAlibaba DAMO Academy, IEEE Fellow, MICCAI Board Member (2021-2024)Adresse e-mail validée de alibaba-inc.com
Xiaosong WangShanghai AI LaboratoryAdresse e-mail validée de pjlab.org.cn
Emily ChewNational Eye Institute/National Institutes of HealthAdresse e-mail validée de nei.nih.gov
Mingquan LinAssistant Professor at University of MinnesotaAdresse e-mail validée de umn.edu
Tiarnan D. L. KeenanStaff Clinician, National Eye Institute, National Institutes of HealthAdresse e-mail validée de nih.gov
Fei Wang, FAMIA, FIAHSI, FACMIProfessor at Cornell UniversityAdresse e-mail validée de med.cornell.edu
Cathy WuUniversity of DelawareAdresse e-mail validée de udel.edu
Justin F RousseauAssociate Professor of Neurology, University of Texas Southwestern Medical CenterAdresse e-mail validée de utsouthwestern.edu
K Vijay-ShankerProfessor of Computer Science, University of DelawareAdresse e-mail validée de udel.edu
Chunhua WengProfessor, Columbia UniversityAdresse e-mail validée de columbia.edu
Song WangThe University of Texas at AustinAdresse e-mail validée de utexas.edu
Chih Hsuan WeiStaff Scientist, NCBI (National Center for Biotechnology Information) / NLM / NIHAdresse e-mail validée de ncbi.nlm.nih.gov
Manabu ToriiKaiser PermanenteAdresse e-mail validée de kp.org
Robert LeamanStaff Scientist, NCBI/NLM/NIHAdresse e-mail validée de nih.gov
Rezarta IslamajNational Library of Medicine, National Institutes ofAdresse e-mail validée de nih.gov
Carolyn MattinglyProfessor, Biological Sciences, North Carolina State UniversityAdresse e-mail validée de ncsu.edu

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Yifan Peng

Associate Professor at Weill Cornell Medicine

Adresse e-mail validée de med.cornell.edu - Page d'accueil

NLP CV machine learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	5046	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	2295	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	1073	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	923	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	639	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	429	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	332	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	228	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	225	2020
BioSentVec: creating sentence embeddings for biomedical texts Q Chen, Y Peng, Z Lu 2019 IEEE International Conference on Healthcare Informatics (ICHI), 1-5, 2019	223	2019
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
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	175	2023
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	172	2019
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	142	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	137	2017
Deep learning for extracting protein-protein interactions from biomedical literature Y Peng, Z Lu arXiv preprint arXiv:1706.01556, 2017	130	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	117	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	108	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	107	2019
Evaluating GPT-4 on impressions generation in radiology reports Z Sun, H Ong, P Kennedy, L Tang, S Chen, J Elias, E Lucas, G Shih, ... Radiology 307 (5), e231259, 2023	103	2023

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