| 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 | 205 | 2015 |
| 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 | 157 | 2014 |
| 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 (1), 21-32, 2016 | 105 | 2016 |
| 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 | 95 | 2017 |
| 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 | 80 | 2023 |
| 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 | 77 | 2014 |
| 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 | 76 | 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 | 73 | 2024 |
| 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 | 73 | 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 | 71 | 2018 |
| 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 | 51 | 2021 |
| An investigation of CNN models for differentiating malignant from benign lesions using small pathologically proven datasets S Zhang, F Han, Z Liang, J Tan, W Cao, Y Gao, M Pomeroy, K Ng, W Hou Computerized Medical Imaging and Graphics 77, 101645, 2019 | 47 | 2019 |
| 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 | 43 | 2018 |
| Temporal dynamics assessment of spatial overlap pattern of functional brain networks reveals novel functional architecture of cerebral cortex X Jiang, X Li, J Lv, S Zhao, S Zhang, W Zhang, T Zhang, J Han, L Guo, ... IEEE Transactions on Biomedical Engineering 65 (6), 1183-1192, 2016 | 42 | 2016 |
| Deep feature mining via attention-based BiLSTM-GCN for human motor imagery recognition Y Hou, S Jia, X Lun, S Zhang, T Chen, F Wang, J Lv arXiv preprint arXiv:2005.00777, 2020 | 41 | 2020 |
| The cerebral cortex is bisectionally segregated into two fundamentally different functional units of gyri and sulci H Liu, S Zhang, X Jiang, T Zhang, H Huang, F Ge, L Zhao, X Li, X Hu, ... Cerebral Cortex 29 (10), 4238-4252, 2019 | 40 | 2019 |
| Meta-analysis of functional roles of DICCCOLs Y Yuan, X Jiang, D Zhu, H Chen, K Li, P Lv, X Yu, X Li, S Zhang, T Zhang, ... Neuroinformatics 11 (1), 47-63, 2013 | 34 | 2013 |
| Connectome-scale group-wise consistent resting-state network analysis in autism spectrum disorder Y Zhao, H Chen, Y Li, J Lv, X Jiang, F Ge, T Zhang, S Zhang, B Ge, C Lyu, ... NeuroImage: Clinical 12, 23-33, 2016 | 31 | 2016 |
| Predicting movie trailer viewer's “like/dislike” via learned shot editing patterns Y Hou, T Xiao, S Zhang, X Jiang, X Li, X Hu, J Han, L Guo, LS Miller, ... IEEE Transactions on Affective Computing 7 (1), 29-44, 2015 | 31 | 2015 |
| Deep variational autoencoder for mapping functional brain networks N Qiang, Q Dong, F Ge, H Liang, B Ge, S Zhang, Y Sun, J Gao, T Liu IEEE Transactions on Cognitive and Developmental Systems 13 (4), 841-852, 2020 | 30 | 2020 |
Tianming LiuDistinguished Research Professor of Computer Science, University of GeorgiaPotvrđena adresa e-pošte na cs.uga.edu
