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 | 4396 | 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 | 2006 | 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 | 930 | 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 | 724 | 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 | 553 | 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 | 399 | 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 | 292 | 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 | 204 | 2013 |
BioSentVec: creating sentence embeddings for biomedical texts Q Chen, Y Peng, Z Lu 2019 IEEE International Conference on Healthcare Informatics (ICHI), 1-5, 2019 | 203 | 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 | 202 | 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 | 197 | 2020 |
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 | 155 | 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 | 128 | 2018 |
Deep learning for extracting protein-protein interactions from biomedical literature Y Peng, Z Lu arXiv preprint arXiv:1706.01556, 2017 | 120 | 2017 |
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 | 116 | 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 | 101 | 2020 |
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 | 98 | 2019 |
Extracting chemical–protein relations with ensembles of SVM and deep learning models Y Peng, A Rios, R Kavuluru, Z Lu Database 2018, bay073, 2018 | 98 | 2018 |
Improving chemical disease relation extraction with rich features and weakly labeled data Y Peng, CH Wei, Z Lu Journal of cheminformatics 8, 1-12, 2016 | 87 | 2016 |
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 | 81 | 2020 |