| Preference matrix guided sparse canonical correlation analysis for mining brain imaging genetic associations in Alzheimer's disease J Sha, J Bao, K Liu, S Yang, Z Wen, J Wen, Y Cui, B Tong, JH Moore, ... Methods 218, 27-38, 2023 | 3 | 2023 |
| Fairness-aware class imbalanced learning on multiple subgroups DA Tarzanagh, B Hou, B Tong, Q Long, L Shen Uncertainty in Artificial Intelligence, 2123-2133, 2023 | 3 | 2023 |
| Comparing amyloid imaging normalization strategies for Alzheimer’s disease classification using an automated machine learning pipeline B Tong, SL Risacher, J Bao, Y Feng, X Wang, MD Ritchie, JH Moore, ... AMIA Summits on Translational Science Proceedings 2023, 525, 2023 | 3 | 2023 |
| Exploring automated machine learning for cognitive outcome prediction from multimodal brain imaging using streamline X Wang, Y Feng, B Tong, J Bao, MD Ritchie, AJ Saykin, JH Moore, ... AMIA Summits on Translational Science Proceedings 2023, 544, 2023 | 2 | 2023 |
| Fair Canonical Correlation Analysis Z Zhou, D Ataee Tarzanagh, B Hou, B Tong, J Xu, Y Feng, Q Long, ... Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| Distance-Weighted Sinkhorn Loss for Alzheimer’s Disease Classification Z Wang, Q Zhan, B Tong, S Yang, B Hou, H Huang, AJ Saykin, ... iScience, 2024 | | 2024 |
| Mediation Analysis Identifies Amyloid Imaging Genetic Patterns for Cognitive Outcomes in Alzheimer’s Disease BN Lee, J Bao, B Tong, SL Risacher, AJ Saykin, JH Moore, D Kim, ... Alzheimer's & Dementia 19, e078634, 2023 | | 2023 |
| Class-Balanced Deep Learning with Adaptive Vector Scaling Loss for Dementia Stage Detection B Tong, Z Zhou, DA Tarzanagh, B Hou, AJ Saykin, J Moore, M Ritchie, ... International Workshop on Machine Learning in Medical Imaging, 144-154, 2023 | | 2023 |
| Multi-Group Tensor Canonical Correlation Analysis Z Zhou, B Tong, D Ataee Tarzanagh, BJ Hou, A Saykin, Q Long, L Shen Proceedings of the 14th ACM International Conference on Bioinformatics …, 2023 | | 2023 |
