| Heart-brain connections: Phenotypic and genetic insights from magnetic resonance images B Zhao, T Li, Z Fan, Y Yang, J Shu, X Yang, X Wang, T Luo, J Tang, ... Science 380 (6648), abn6598, 2023 | 47 | 2023 |
| Eye-brain connections revealed by multimodal retinal and brain imaging genetics in the UK Biobank B Zhao, Y Li, Z Fan, Z Wu, J Shu, X Yang, Y Yang, X Wang, B Li, X Wang, ... medRxiv, 2023.02. 16.23286035, 2023 | 8 | 2023 |
| Combining Machine Learning and Queueing Theory for Data-driven Incarceration-Diversion Program Management B Li, A Castellanos, P Shi, A Ward Proceedings of the 38th AAAI Conference on Artificial Intelligence 38, 22920 …, 2024 | 2 | 2024 |
| Rapid image labeling via neuro-symbolic learning Y Wang, Z Tu, Y Xiang, S Zhou, X Chen, B Li, T Zhang Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 2 | 2023 |
| Inferring Multi-Organ Genetic Causal Connections using Imaging and Clinical Data through Mendelian Randomization J Shu, R Zheng, C Copana, B Li, Z Fan, X Yang, Y Yang, X Wang, Y Li, ... medRxiv, 2023.05. 22.23290355, 2023 | | 2023 |
| Analyzing bivariate cross-trait genetic architecture in GWAS summary statistics with the BIGA cloud computing platform Y Li, F Xue, B Li, Y Yang, Z Fan, J Shu, X Wang, J Lin, C Copana, B Zhao bioRxiv, 2023.04. 28.538585, 2023 | | 2023 |
| Multi-organ genetic causal connections inferred from imaging and clinical data through Mendelian randomization J Shu, R Zheng, C Copana, B Li, Z Fan, X Yang, Y Yang, X Wang, Y Li, ... medRxiv, 2023.05. 22.23290355, 2023 | | 2023 |
| Developing and sharing polygenic risk scores for 4,206 brain imaging-derived phenotypes for 400,000 UK Biobank subjects not participating in the imaging study. X Yang, B Li, Z Fan, D Ding, J Shu, MD Ritchie, G Nave, ML Platt, T Li, ... medRxiv, 2023.04. 18.23288769, 2023 | | 2023 |
| Mapping sleep's phenotypic and genetic links to the brain and heart: a systematic analysis of multimodal brain and cardiac images in the UK Biobank Z Fan, Y Li, J Shu, X Yang, B Li, J Lin, Q Wang, P Paschou, T Li, H Zhu, ... medRxiv, 2022.09. 08.22279719, 2022 | | 2022 |
| Digital Platform to Aid Youth Substance Abuse Prevention B Li | | 2022 |
