Yifan Peng

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

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Yifan Peng

Associate Professor at Weill Cornell Medicine

Verifisert e-postadresse på med.cornell.edu - Startside

NLP CV machine learning


Tittel Sorter etter sitater Sorter etter år Sorter etter tittel	Sitert av Sitert av	År
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	5033	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	2302	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	1082	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	950	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	636	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	430	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	333	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	232	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	229	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	228	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	214	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	173	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	169	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	144	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	138	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	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	104	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	100	2023

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