| Natural language processing technologies in radiology research and clinical applications T Cai, AA Giannopoulos, S Yu, T Kelil, B Ripley, KK Kumamaru, ... Radiographics 36 (1), 176-191, 2016 | 182 | 2016 |
| Toward high-throughput phenotyping: unbiased automated feature extraction and selection from knowledge sources S Yu, KP Liao, SY Shaw, VS Gainer, SE Churchill, P Szolovits, SN Murphy, ... Journal of the American Medical Informatics Association 22 (5), 993-1000, 2015 | 158 | 2015 |
| Association of intracranial aneurysm rupture with smoking duration, intensity, and cessation A Can, VM Castro, YH Ozdemir, S Dagen, S Yu, D Dligach, S Finan, ... Neurology 89 (13), 1408-1415, 2017 | 102 | 2017 |
| Large-scale identification of patients with cerebral aneurysms using natural language processing VM Castro, D Dligach, S Finan, S Yu, A Can, M Abd-El-Barr, V Gainer, ... Neurology 88 (2), 164-168, 2017 | 93 | 2017 |
| Enabling phenotypic big data with PheNorm S Yu, Y Ma, J Gronsbell, T Cai, AN Ananthakrishnan, VS Gainer, ... Journal of the American Medical Informatics Association 25 (1), 54-60, 2018 | 88 | 2018 |
| Surrogate-assisted feature extraction for high-throughput phenotyping S Yu, A Chakrabortty, KP Liao, T Cai, AN Ananthakrishnan, VS Gainer, ... Journal of the American Medical Informatics Association 24 (e1), e143-e149, 2017 | 79 | 2017 |
| High-throughput phenotyping with electronic medical record data using a common semi-supervised approach (PheCAP) Y Zhang, T Cai, S Yu, K Cho, C Hong, J Sun, J Huang, YL Ho, ... Nature protocols 14 (12), 3426-3444, 2019 | 78 | 2019 |
| High-throughput multimodal automated phenotyping (MAP) with application to PheWAS Journal of the American Medical Informatics Association 26 (11), 1255-1262, 2019 | 59 | 2019 |
| High throughput phenotyping for dimensional psychopathology in electronic health records TH McCoy Jr, S Yu, KL Hart, VM Castro, HE Brown, JN Rosenquist, ... Biological psychiatry 83 (12), 997-1004, 2018 | 56 | 2018 |
| Lipid-lowering agents and high HDL (high-density lipoprotein) are inversely associated with intracranial aneurysm rupture A Can, VM Castro, D Dligach, S Finan, S Yu, V Gainer, NA Shadick, ... Stroke 49 (5), 1148-1154, 2018 | 56 | 2018 |
| Biomedical question answering: a survey of approaches and challenges Q Jin, Z Yuan, G Xiong, Q Yu, H Ying, C Tan, M Chen, S Huang, X Liu, ... ACM Computing Surveys (CSUR) 55 (2), 1-36, 2022 | 55* | 2022 |
| Association between aspirin dose and subarachnoid hemorrhage from saccular aneurysms: a case-control study A Can, RF Rudy, VM Castro, S Yu, D Dligach, S Finan, V Gainer, ... Neurology 91 (12), e1175-e1181, 2018 | 51 | 2018 |
| Generation of synthetic electronic medical record text J Guan, R Li, S Yu, X Zhang 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018 | 41 | 2018 |
| Classification of CT pulmonary angiography reports by presence, chronicity, and location of pulmonary embolism with natural language processing S Yu, KK Kumamaru, E George, RM Dunne, A Bedayat, M Neykov, ... Journal of biomedical informatics 52, 386-393, 2014 | 41 | 2014 |
| CODER: Knowledge-infused cross-lingual medical term embedding for term normalization Z Yuan, Z Zhao, H Sun, J Li, F Wang, S Yu Journal of biomedical informatics 126, 103983, 2022 | 39 | 2022 |
| Identification of subjects with polycystic ovary syndrome using electronic health records V Castro, Y Shen, S Yu, S Finan, CT Pau, V Gainer, CC Keefe, G Savova, ... Reproductive Biology and Endocrinology 13 (1), 1-8, 2015 | 36 | 2015 |
| Morphological variables associated with ruptured middle cerebral artery aneurysms J Zhang, A Can, S Mukundan Jr, M Steigner, VM Castro, D Dligach, ... Neurosurgery 85 (1), 75-83, 2019 | 35 | 2019 |
| Alcohol consumption and aneurysmal subarachnoid hemorrhage A Can, VM Castro, YH Ozdemir, S Dagen, D Dligach, S Finan, S Yu, ... Translational Stroke Research 9, 13-19, 2018 | 35 | 2018 |
| NILE: fast natural language processing for electronic health records S Yu, T Cai, T Cai arXiv preprint arXiv:1311.6063, 2013 | 32* | 2013 |
| Automated feature selection of predictors in electronic medical records data J Gronsbell, J Minnier, S Yu, K Liao, T Cai Biometrics 75 (1), 268-277, 2019 | 31 | 2019 |
