Yifan Peng

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

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Yifan Peng

Associate Professor at Weill Cornell Medicine

Dirección de correo verificada de med.cornell.edu - Página principal

NLP CV machine learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	4839	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	2193	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	1031	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	867	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	608	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	422	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	322	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	221	2019
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	218	2020
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
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	167	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	148	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	133	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	112	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	90	2020

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