| Evaluation of walking in place on a wii balance board to explore a virtual environment B Williams, S Bailey, G Narasimham, M Li, B Bodenheimer ACM Transactions on Applied Perception (TAP) 8 (3), 1-14, 2011 | 148 | 2011 |
| Enabling open-science initiatives in clinical psychology and psychiatry without sacrificing patients’ privacy: Current practices and future challenges CG Walsh, W Xia, M Li, JC Denny, PA Harris, BA Malin Advances in Methods and Practices in Psychological Science 1 (1), 104-114, 2018 | 52 | 2018 |
| De-identification of clinical narratives through writing complexity measures M Li, D Carrell, J Aberdeen, L Hirschman, BA Malin International journal of medical informatics 83 (10), 750-767, 2014 | 26 | 2014 |
| Extracting umls concepts from medical text using general and domain-specific deep learning models KC Fraser, I Nejadgholi, B De Bruijn, M Li, A LaPlante, KZE Abidine arXiv preprint arXiv:1910.01274, 2019 | 24 | 2019 |
| Optimizing annotation resources for natural language de-identification via a game theoretic framework M Li, D Carrell, J Aberdeen, L Hirschman, J Kirby, B Li, Y Vorobeychik, ... Journal of biomedical informatics 61, 97-109, 2016 | 17 | 2016 |
| The machine giveth and the machine taketh away: a parrot attack on clinical text deidentified with hiding in plain sight DS Carrell, DJ Cronkite, M Li, S Nyemba, BA Malin, JS Aberdeen, ... Journal of the American Medical Informatics Association 26 (12), 1536-1544, 2019 | 13 | 2019 |
| Efficient Active Learning for Electronic Medical Record De-identification M Li, M Scaiano, K El Emam, BA Malin AMIA Joint Summits on Translational Science proceedings. 2019, 462-471, 2019 | 13 | 2019 |
| Scalable iterative classification for sanitizing large-scale datasets B Li, Y Vorobeychik, M Li, B Malin IEEE transactions on knowledge and data engineering 29 (3), 698-711, 2016 | 12 | 2016 |
| Recognizing UMLS semantic types with deep learning I Nejadgholi, KC Fraser, B De Bruijn, M Li, A LaPlante, KZ El Abidine Proceedings of the Tenth International Workshop on Health Text Mining and …, 2019 | 7 | 2019 |
| Iterative classification for sanitizing large-scale datasets B Li, Y Vorobeychik, M Li, B Malin 2015 IEEE International Conference on Data Mining, 841-846, 2015 | 7 | 2015 |
| Resilience of clinical text de-identified with “hiding in plain sight” to hostile reidentification attacks by human readers DS Carrell, BA Malin, DJ Cronkite, JS Aberdeen, C Clark, M Li, ... Journal of the American Medical Informatics Association 27 (9), 1374-1382, 2020 | 5 | 2020 |
| Scalable natural language de-identification based on machine learning approaches M Li Vanderbilt University, 2018 | 1 | 2018 |
Bradley MalinAccenture Professor of Biomedical Informatics, Biostatistics, and Computer Science, VanderbiltVerified email at vanderbilt.edu
