| 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 |
| Experimental Comparisons of Sparse Dictionary Learning and Independent Component Analysis for Brain Network Inference from fMRI Data W Zhang, L Jinglei, X Li, D Zhu, X Jiang, S Zhang, Y Zhao, L Guo, J Ye, ... IEEE Transaction on Biomedical Engineering, 2018 | 70 | 2018 |
| Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN) TL Yu Zhao, Xiang Li, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang ... MICCAI, 2018 | 52* | 2018 |
| Task fMRI data analysis based on supervised stochastic coordinate coding J Lv, B Lin, Q Li, W Zhang, Y Zhao, X Jiang, L Guo, J Han, X Hu, C Guo, ... Medical image analysis 38, 1-16, 2017 | 48 | 2017 |
| 4D Modeling of fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN) TL Yu Zhao, Xiang Li, Heng Huang, Wei Zhang, Shijie Zhao, Milad Makkie, Mo ... IEEE Transaction on Cognitive and Developmental System 12 (3), 451-460, 2020 | 44* | 2020 |
| 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 | 40 | 2016 |
| Modeling Task-based fMRI Data via Deep Belief Network with Neural Architecture Search N Qiang, Q Dong, W Zhang, B Ge, F Ge, H Liang, Y Sun, J Gao, T Liu Computerized Medical Imaging and Graphics, 2020 | 32 | 2020 |
| Identify hierarchical structures from task-based fMRI data via hybrid spatiotemporal neural architecture search net W Zhang, L Zhao, Q Li, S Zhao, Q Dong, X Jiang, T Zhang, T Liu Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 31 | 2019 |
| Hierarchical organization of functional brain networks revealed by hybrid spatiotemporal deep learning W Zhang, S Zhao, X Hu, Q Dong, H Huang, S Zhang, Y Zhao, H Dai, F Ge, ... Brain connectivity 10 (2), 72-82, 2020 | 28 | 2020 |
| Spatio-temporal modeling of connectome-scale brain network interactions via time-evolving graphs J Yuan, X Li, J Zhang, L Luo, Q Dong, J Lv, Y Zhao, X Jiang, S Zhang, ... Neuroimage 180, 350-369, 2018 | 26 | 2018 |
| Loss of human disease protein retinitis pigmentosa GTPase regulator (RPGR) differentially affects rod or cone-enriched retina KN Rao, L Li, W Zhang, RS Brush, RVS Rajala, H Khanna Human Molecular Genetics 25 (7), 1345-1356, 2016 | 22 | 2016 |
| Evolutionary Neural Architecture Search for Optimization of Spatiotemporal Brain Network Decomposition TL Qing Li, Wei Zhang, Lin Zhao, Xia Wu IEEE Transaction on Biomedical Engineering, 2021 | 20 | 2021 |
| Modeling and Augmenting of fMRI Data using Deep Recurrent Variational Auto-encoder TL Qiang Ning, Qinglin Dong, Hongtao Liang, Bao Ge, Shu Zhang, Yifei Sun ... Journal of Neural Engineering, 2021 | 20 | 2021 |
| Discovering Hierarchical Common Brain Networks via Multimodal Deep Belief Network TL Shu Zhang, Qinglin Dong, Wei Zhang, Heng Huang, Dajiang Zhu Medical Image Analysis, 2019 | 20 | 2019 |
| Signal sampling for efficient sparse representation of resting state FMRI data B Ge, M Makkie, J Wang, S Zhao, X Jiang, X Li, J Lv, S Zhang, W Zhang, ... Brain imaging and behavior 10, 1206-1222, 2016 | 18 | 2016 |
| Two-stage spatial temporal deep learning framework for functional brain network modeling Y Zhao, H Dai, W Zhang, F Ge, T Liu 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 17 | 2019 |
| Connectome-scale functional intrinsic connectivity networks in macaques W Zhang, X Jiang, S Zhang, BR Howell, Y Zhao, T Zhang, L Guo, ... Neuroscience 364, 1-14, 2017 | 16 | 2017 |
| Optimize CNN model for FMRI signal classification via Adanet-based neural architecture search H Dai, F Ge, Q Li, W Zhang, T Liu 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1399-1403, 2020 | 13 | 2020 |
| 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 Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015 …, 2015 | 12 | 2015 |
| Neural Architecture Search for Optimization of Spatial-temporal Brain Network Decomposition XWTL Qing Li, Wei Zhang, Jinglei Lv International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 8* | 2020 |
Tianming LiuDistinguished Research Professor of Computer Science, University of Georgia在 cs.uga.edu 的电子邮件经过验证
