| Sparse representation of whole-brain fMRI signals for identification of functional networks J Lv, X Jiang, X Li, D Zhu, H Chen, T Zhang, S Zhang, X Hu, J Han, ... Medical image analysis 20 (1), 112-134, 2015 | 216 | 2015 |
| Representing and retrieving video shots in human-centric brain imaging space J Han, X Ji, X Hu, D Zhu, K Li, X Jiang, G Cui, L Guo, T Liu IEEE Transactions on Image Processing 22 (7), 2723-2736, 2013 | 196 | 2013 |
| Fusing DTI and fMRI data: a survey of methods and applications D Zhu, T Zhang, X Jiang, X Hu, H Chen, N Yang, J Lv, J Han, L Guo, T Liu NeuroImage 102, 184-191, 2014 | 179 | 2014 |
| DICCCOL: dense individualized and common connectivity-based cortical landmarks D Zhu, K Li, L Guo, X Jiang, T Zhang, D Zhang, H Chen, F Deng, C Faraco, ... Cerebral cortex 23 (4), 786-800, 2013 | 172 | 2013 |
| Dynamic functional connectomics signatures for characterization and differentiation of PTSD patients X Li, D Zhu, X Jiang, C Jin, X Zhang, L Guo, J Zhang, X Hu, L Li, T Liu Human brain mapping 35 (4), 1761-1778, 2014 | 171 | 2014 |
| Holistic atlases of functional networks and interactions reveal reciprocal organizational architecture of cortical function J Lv, X Jiang, X Li, D Zhu, S Zhang, S Zhao, H Chen, T Zhang, X Hu, ... IEEE Transactions on Biomedical Engineering 62 (4), 1120-1131, 2014 | 165 | 2014 |
| Prompt engineering for healthcare: Methodologies and applications J Wang, E Shi, S Yu, Z Wu, C Ma, H Dai, Q Yang, Y Kang, J Wu, H Hu, ... arXiv preprint arXiv:2304.14670, 2023 | 153 | 2023 |
| Review of large vision models and visual prompt engineering J Wang, Z Liu, L Zhao, Z Wu, C Ma, S Yu, H Dai, Q Yang, Y Liu, S Zhang, ... Meta-Radiology 1 (3), 100047, 2023 | 152 | 2023 |
| Axonal fiber terminations concentrate on gyri J Nie, L Guo, K Li, Y Wang, G Chen, L Li, H Chen, F Deng, X Jiang, ... Cerebral cortex 22 (12), 2831-2839, 2012 | 135 | 2012 |
| Characterizing and differentiating task-based and resting state fMRI signals via two-stage sparse representations S Zhang, X Li, J Lv, X Jiang, L Guo, T Liu Brain imaging and behavior 10, 21-32, 2016 | 113 | 2016 |
| When brain-inspired ai meets agi L Zhao, L Zhang, Z Wu, Y Chen, H Dai, X Yu, Z Liu, T Zhang, X Hu, ... Meta-Radiology 1 (1), 100005, 2023 | 105 | 2023 |
| Automatic recognition of fMRI-derived functional networks using 3-D convolutional neural networks Y Zhao, Q Dong, S Zhang, W Zhang, H Chen, X Jiang, L Guo, X Hu, J Han, ... IEEE Transactions on Biomedical Engineering 65 (9), 1975-1984, 2017 | 103 | 2017 |
| Supervised dictionary learning for inferring concurrent brain networks S Zhao, J Han, J Lv, X Jiang, X Hu, Y Zhao, B Ge, L Guo, T Liu IEEE transactions on medical imaging 34 (10), 2036-2045, 2015 | 88 | 2015 |
| Sparse representation of HCP grayordinate data reveals novel functional architecture of cerebral cortex X Jiang, X Li, J Lv, T Zhang, S Zhang, L Guo, T Liu Human brain mapping 36 (12), 5301-5319, 2015 | 79 | 2015 |
| Experimental comparisons of sparse dictionary learning and independent component analysis for brain network inference from fMRI data W Zhang, J Lv, X Li, D Zhu, X Jiang, S Zhang, Y Zhao, L Guo, J Ye, D Hu, ... IEEE transactions on biomedical engineering 66 (1), 289-299, 2018 | 76 | 2018 |
| A functional model of cortical gyri and sulci F Deng, X Jiang, D Zhu, T Zhang, K Li, L Guo, T Liu Brain structure and function 219, 1473-1491, 2014 | 75 | 2014 |
| Adversarial learning based node-edge graph attention networks for autism spectrum disorder identification Y Chen, J Yan, M Jiang, T Zhang, Z Zhao, W Zhao, J Zheng, D Yao, ... IEEE Transactions on Neural Networks and Learning Systems, 2022 | 72 | 2022 |
| Optimization of functional brain ROIs via maximization of consistency of structural connectivity profiles D Zhu, K Li, C Faraco, F Deng, D Zhang, X Jiang, H Chen, L Guo, ... IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011 | 70 | 2011 |
| Modeling task FMRI data via supervised stochastic coordinate coding J Lv, B Lin, W Zhang, X Jiang, X Hu, J Han, L Guo, J Ye, T Liu International Conference on Medical Image Computing and Computer-Assisted …, 2015 | 64* | 2015 |
| Decreased interhemispheric functional connectivity rather than corpus callosum volume as a potential biomarker for autism spectrum disorder Q Li, B Becker, X Jiang, Z Zhao, Q Zhang, S Yao, KM Kendrick Cortex 119, 258-266, 2019 | 62 | 2019 |
Tianming LiuDistinguished Research Professor of Computer Science, University of Georgia在 cs.uga.edu 的电子邮件经过验证