| Current status of artificial intelligence applications in urology and their potential to influence clinical practice J Chen, D Remulla, JH Nguyen, A Dua, Y Liu, P Dasgupta, AJ Hung BJU international 124 (4), 567-577, 2019 | 133 | 2019 |
| Coronavirus on social media: Analyzing misinformation in Twitter conversations K Sharma, S Seo, C Meng, S Rambhatla, A Dua, Y Liu | 83 | 2020 |
| Survival analysis using surgeon skill metrics and patient factors to predict urinary continence recovery after robot-assisted radical prostatectomy L Trinh, S Mingo, EB Vanstrum, DI Sanford, R Ma, JH Nguyen, Y Liu, ... European urology focus 8 (2), 623-630, 2022 | 31 | 2022 |
| DeepCompete: A deep learning approach to competing risks in continuous time domain P Huang, Y Liu AMIA annual symposium proceedings 2020, 177, 2020 | 6 | 2020 |
| MP47-17 deep learning models to predict psychomotor errors using raw kinematic data from virtual reality simulator A Hung*, AJ Nguyen, Y Liu The Journal of Urology 203 (Supplement 4), e691-e691, 2020 | 4 | 2020 |
| Open drug knowledge graph M Mann, F Ilievski, M Rostami, A Aastha, B Shbita Second International Workshop on Knowledge Graph Construction, 2021 | 3 | 2021 |
| Mp34-08 deep-learning based computer vision to automate identification of suturing gestures A Hung, J Nguyen, K Aron, V Damerla, Y Liu Journal of Urology 203, e506, 2020 | 2 | 2020 |
| Mp34-13 quantifying risk of urinary continence recovery after robot-assisted prostatectomy utilizing deep learning and comprehensive skills evaluation S Mingo, E Vanstrum, J Nguyen, Y Liu, A Hung Journal of Urology 203, e508, 2020 | 1 | 2020 |
