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Yifan Peng
Yifan Peng
Associate Professor at Weill Cornell Medicine
Подтвержден адрес электронной почты в домене med.cornell.edu - Главная страница
Название
Процитировано
Процитировано
Год
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
50462017
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
22922018
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
10702019
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
9232019
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
6382018
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
4292016
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
3322019
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
2272018
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
2252020
BioSentVec: creating sentence embeddings for biomedical texts
Q Chen, Y Peng, Z Lu
2019 IEEE International Conference on Healthcare Informatics (ICHI), 1-5, 2019
2232019
BioC: a minimalist approach to interoperability for biomedical text processing
DC Comeau, R Islamaj Doğan, P Ciccarese, KB Cohen, M Krallinger, ...
Database 2013, 2013
2122013
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
1752023
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
1722019
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
1422018
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
1372017
Deep learning for extracting protein-protein interactions from biomedical literature
Y Peng, Z Lu
arXiv preprint arXiv:1706.01556, 2017
1302017
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
1172020
Extracting chemical–protein relations with ensembles of SVM and deep learning models
Y Peng, A Rios, R Kavuluru, Z Lu
Database 2018, bay073, 2018
1082018
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
1072019
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
1032023
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