Yifan Peng
Yifan Peng
Assistant Professor at Weill Cornell Medicine
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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, 2016
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
BioC: a minimalist approach to interoperability for biomedical text processing
DC Comeau, R Islamaj Doğan, P Ciccarese, KB Cohen, M Krallinger, ...
Database 2013, 2013
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
BioSentVec: creating sentence embeddings for biomedical texts
Q Chen, Y Peng, Z Lu
2019 IEEE International Conference on Healthcare Informatics (ICHI), 1-5, 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
Deep learning for extracting protein-protein interactions from biomedical literature
Y Peng, Z Lu
arXiv preprint arXiv:1706.01556, 2017
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), 1-8, 2020
Improving chemical disease relation extraction with rich features and weakly labeled data
Y Peng, CH Wei, Z Lu
Journal of cheminformatics 8 (1), 1-12, 2016
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
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
Extracting chemical–protein relations with ensembles of SVM and deep learning models
Y Peng, A Rios, R Kavuluru, Z Lu
Database 2018, 2018
miRTex: a text mining system for miRNA-gene relation extraction
G Li, KE Ross, CN Arighi, Y Peng, CH Wu, K Vijay-Shanker
PLoS computational biology 11 (9), e1004391, 2015
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
International Conference on Medical Image Computing and Computer-Assisted …, 2019
iSimp: A sentence simplification system for biomedicail text
Y Peng, CO Tudor, M Torii, CH Wu, K Vijay-Shanker
2012 IEEE International Conference on Bioinformatics and Biomedicine, 1-6, 2012
Holistic and comprehensive annotation of clinically significant findings on diverse CT images: learning from radiology reports and label ontology
K Yan, Y Peng, V Sandfort, M Bagheri, Z Lu, RM Summers
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
The system can't perform the operation now. Try again later.
Articles 1–20