| Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics T He, R Kong, AJ Holmes, M Nguyen, MR Sabuncu, SB Eickhoff, D Bzdok, ... NeuroImage 206, 116276, 2020 | 218 | 2020 |
| Predicting Alzheimer's disease progression using deep recurrent neural networks M Nguyen, T He, L An, DC Alexander, J Feng, BTT Yeo, ... NeuroImage 222, 117203, 2020 | 151 | 2020 |
| Convergent molecular, cellular, and cortical neuroimaging signatures of major depressive disorder KM Anderson, MA Collins, R Kong, K Fang, J Li, T He, AM Chekroud, ... Proceedings of the National Academy of Sciences 117 (40), 25138-25149, 2020 | 123 | 2020 |
| Accurate nonlinear mapping between MNI volumetric and FreeSurfer surface coordinate systems J Wu, GH Ngo, D Greve, J Li, T He, B Fischl, SB Eickhoff, BTT Yeo Human brain mapping 39 (9), 3793-3808, 2018 | 92 | 2018 |
| Meta-matching as a simple framework to translate phenotypic predictive models from big to small data T He, L An, P Chen, J Chen, J Feng, D Bzdok, AJ Holmes, SB Eickhoff, ... Nature neuroscience 25 (6), 795-804, 2022 | 61 | 2022 |
| Is deep learning better than kernel regression for functional connectivity prediction of fluid intelligence? T He, R Kong, AJ Holmes, MR Sabuncu, SB Eickhoff, D Bzdok, J Feng, ... 2018 international workshop on pattern recognition in neuroimaging (PRNI), 1-4, 2018 | 32 | 2018 |
| Do deep neural networks outperform kernel regression for functional connectivity prediction of behavior T He, R Kong, A Holmes, M Nguyen, M Sabuncu, SB Eickhoff, D Bzdok, ... BioRxiv, 473603, 2018 | 19 | 2018 |
| Goal-specific brain MRI harmonization L An, J Chen, P Chen, C Zhang, T He, C Chen, JH Zhou, BTT Yeo, ... Neuroimage 263, 119570, 2022 | 16 | 2022 |
| Convergent molecular, cellular, and neural signatures of major depressive disorder KM Anderson, MA Collins, R Kong, K Fang, J Li, T He, AM Chekroud, ... bioRxiv, 2020.02. 10.942227, 2020 | 7 | 2020 |
| Predicting Alzheimer's disease progression using deep recurrent neural networks. NeuroImage, 222, Article 117203 M Nguyen, T He, L An, DC Alexander, J Feng, BTT Yeo | 6 | 2020 |
| 2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI) T He, R Kong, AJ Holmes, MR Sabuncu, SB Eickhoff, D Bzdok | 5 | 2018 |
| Do Deep Neural Networks Outperform Kernel Regression for Functional Connectivity Prediction of Behavior? bioRxiv: 473603 T He, R Kong, A Holmes, M Nguyen, M Sabuncu, SB Eickhoff, D Bzdok, ... | 4 | 2018 |
| Meta-matching, a simple way to boost small samples functional connectivity behavior prediction T He, L An, J Feng, D Bzdok, SB Eickhoff, BTT Yeo | | |
B.T. Thomas YeoNational University of Singapore在 nus.edu.sg 的电子邮件经过验证
