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 | 209 | 2015 |
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 | 172 | 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 |
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 | 162 | 2014 |
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 | 133 | 2012 |
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, 100047, 2023 | 115 | 2023 |
Predicting functional cortical ROIs via DTI-derived fiber shape models T Zhang, L Guo, K Li, C Jing, Y Yin, D Zhu, G Cui, L Li, T Liu Cerebral cortex 22 (4), 854-864, 2012 | 101 | 2012 |
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, 100005, 2023 | 90 | 2023 |
An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPT C Ma, Z Wu, J Wang, S Xu, Y Wei, Z Liu, F Zeng, X Jiang, L Guo, X Cai, ... IEEE Transactions on Artificial Intelligence, 2024 | 83 | 2024 |
Characterization of U-shape streamline fibers: methods and applications T Zhang, H Chen, L Guo, K Li, L Li, S Zhang, D Shen, X Hu, T Liu Medical image analysis 18 (5), 795-807, 2014 | 81 | 2014 |
Coevolution of gyral folding and structural connection patterns in primate brains H Chen, T Zhang, L Guo, K Li, X Yu, L Li, X Hu, J Han, X Hu, T Liu Cerebral Cortex 23 (5), 1208-1217, 2013 | 80 | 2013 |
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 | 77 | 2015 |
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 |
Cortical folding pattern and its consistency induced by biological growth M Jalil Razavi, T Zhang, T Liu, X Wang Scientific reports 5 (1), 14477, 2015 | 73 | 2015 |
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 | 61 | 2022 |
Inferring group-wise consistent multimodal brain networks via multi-view spectral clustering H Chen, K Li, D Zhu, X Jiang, Y Yuan, P Lv, T Zhang, L Guo, D Shen, ... IEEE transactions on medical imaging 32 (9), 1576-1586, 2013 | 58 | 2013 |
Fundamental functional differences between gyri and sulci: implications for brain function, cognition, and behavior X Jiang, T Zhang, S Zhang, KM Kendrick, T Liu Psychoradiology 1 (1), 23-41, 2021 | 57 | 2021 |
Role of mechanical factors in cortical folding development MJ Razavi, T Zhang, X Li, T Liu, X Wang Physical Review E 92 (3), 032701, 2015 | 57 | 2015 |
Understanding llms: A comprehensive overview from training to inference Y Liu, H He, T Han, X Zhang, M Liu, J Tian, Y Zhang, J Wang, X Gao, ... arXiv preprint arXiv:2401.02038, 2024 | 55 | 2024 |
Denser growing fiber connections induce 3-hinge gyral folding F Ge, X Li, MJ Razavi, H Chen, T Zhang, S Zhang, L Guo, X Hu, X Wang, ... Cerebral Cortex 28 (3), 1064-1075, 2018 | 51 | 2018 |