| 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 | 4958 | 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 | 2263 | 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 | 1055 | 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 | 902 | 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 | 630 | 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 | 426 | 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 | 329 | 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 | 225 | 2018 |
| BioSentVec: creating sentence embeddings for biomedical texts Q Chen, Y Peng, Z Lu 2019 IEEE International Conference on Healthcare Informatics (ICHI), 1-5, 2019 | 222 | 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 | 221 | 2020 |
| 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 | 171 | 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 | 163 | 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 | 140 | 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 | 135 | 2017 |
| Deep learning for extracting protein-protein interactions from biomedical literature Y Peng, Z Lu arXiv preprint arXiv:1706.01556, 2017 | 129 | 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 | 115 | 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 | 107 | 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 | 106 | 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 | 95 | 2023 |
Zhiyong LuSenior Investigator, NLM; Adjunct Professor of CS, UIUC在 nih.gov 的電子郵件地址已通過驗證
