| Recent developments and applications of the MMPBSA method C Wang, DA Greene, L Xiao, R Qi, R Luo Frontiers in molecular biosciences 4, 87, 2018 | 469 | 2018 |
| Similarly in depression, nuances of gut microbiota: Evidences from a shotgun metagenomics sequencing study on major depressive disorder versus bipolar disorder with current … H Rong, X Xie, J Zhao, W Lai, M Wang, D Xu, Y Liu, Y Guo, S Xu, W Deng, ... Journal of psychiatric research 113, 90-99, 2019 | 146 | 2019 |
| Label-free segmentation of COVID-19 lesions in lung CT Q Yao, L Xiao, P Liu, SK Zhou IEEE transactions on medical imaging 40 (10), 2808-2819, 2021 | 135 | 2021 |
| AmberTools 16 DA Case, RM Betz, W Botello-Smith, DS Cerutti, TE Cheatham III, ... University of California, San Francisco, 2016 | 122 | 2016 |
| AMBER 2018; 2018 DA Case, IY Ben-Shalom, SR Brozell, DS Cerutti, TE Cheatham III, ... University of California, San Francisco, 2018 | 115 | 2018 |
| Marginal loss and exclusion loss for partially supervised multi-organ segmentation G Shi, L Xiao, Y Chen, SK Zhou Medical Image Analysis 70, 101979, 2021 | 110 | 2021 |
| Knowledge matters: Chest radiology report generation with general and specific knowledge S Yang, X Wu, S Ge, SK Zhou, L Xiao Medical image analysis 80, 102510, 2022 | 91 | 2022 |
| Deep learning to segment pelvic bones: large-scale CT datasets and baseline models P Liu, H Han, Y Du, H Zhu, Y Li, F Gu, H Xiao, J Li, C Zhao, L Xiao, X Wu, ... International Journal of Computer Assisted Radiology and Surgery 16, 749-756, 2021 | 66 | 2021 |
| AMBER 2016 RE Duke, TJ Giese, H Gohlke, AW Goetz, N Homeyer, S Izadi, P Janowski, ... University of California, San Francisco 1 (3), 2016 | 62 | 2016 |
| Characterizing the dependence of pure-tone frequency difference limens on frequency, duration, and level C Micheyl, L Xiao, AJ Oxenham Hearing Research 292 (1-2), 1-13, 2012 | 59 | 2012 |
| AMBER 2018 TA Darden, RE Duke, D Ghoreishi, MK Gilson, H Gohlke, AW Goetz, ... University of California, San Francisco, 2018 | 50 | 2018 |
| You only learn once: Universal anatomical landmark detection H Zhu, Q Yao, L Xiao, SK Zhou Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 48 | 2021 |
| Radiology report generation with a learned knowledge base and multi-modal alignment S Yang, X Wu, S Ge, Z Zheng, SK Zhou, L Xiao Medical Image Analysis 86, 102798, 2023 | 47 | 2023 |
| Electrostatic forces in the Poisson-Boltzmann systems L Xiao, Q Cai, X Ye, J Wang, R Luo The Journal of chemical physics 139 (9), 2013 | 36 | 2013 |
| AMBER 18; 2018 D Case, I Ben-Shalom, S Brozell, D Cerutti, T Cheatham III, V Cruzeiro, ... University of California, San Francisco, 47, 2018 | 34 | 2018 |
| AMBER 20182018University of California DA Case, IY Ben-Shalom, SR Brozell, DS Cerutti, TE Cheatham III, ... San Francisco, 0 | 34 | |
| One-shot medical landmark detection Q Yao, Q Quan, L Xiao, S Kevin Zhou Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 31 | 2021 |
| Modeling membrane protein–ligand binding interactions: the human purinergic platelet receptor DA Greene, WM Botello-Smith, A Follmer, L Xiao, E Lambros, R Luo The Journal of Physical Chemistry B 120 (48), 12293-12304, 2016 | 30 | 2016 |
| A continuum Poisson–Boltzmann model for membrane channel proteins L Xiao, J Diao, DA Greene, J Wang, R Luo Journal of chemical theory and computation 13 (7), 3398-3412, 2017 | 27 | 2017 |
| AMBER16 and AmberTools17 DA Case, DS Cerutti, TE Cheatham, TA Darden, RE Duke, TJ Giese, ... University of California, San Francisco, 2017 | 27 | 2017 |
