| Modeling task fMRI data via deep convolutional autoencoder H Huang, X Hu, Y Zhao, M Makkie, Q Dong, S Zhao, L Guo, T Liu IEEE transactions on medical imaging 37 (7), 1551-1561, 2017 | 219 | 2017 |
| 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 |
| Fully transformer network for skin lesion analysis X He, EL Tan, H Bi, X Zhang, S Zhao, B Lei Medical Image Analysis 77, 102357, 2022 | 99 | 2022 |
| 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 |
| Recognizing brain states using deep sparse recurrent neural network H Wang, S Zhao, Q Dong, Y Cui, Y Chen, J Han, L Xie, T Liu IEEE transactions on medical imaging 38 (4), 1058-1068, 2018 | 74 | 2018 |
| Modeling 4D fMRI data via spatio-temporal convolutional neural networks (ST-CNN) Y Zhao, X Li, W Zhang, S Zhao, M Makkie, M Zhang, Q Li, T Liu Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 56 | 2018 |
| Four-dimensional modeling of fMRI data via spatio–temporal convolutional neural networks (ST-CNNs) Y Zhao, X Li, H Huang, W Zhang, S Zhao, M Makkie, M Zhang, Q Li, T Liu IEEE transactions on cognitive and developmental systems 12 (3), 451-460, 2019 | 50 | 2019 |
| Identifying brain networks at multiple time scales via deep recurrent neural network Y Cui, S Zhao, H Wang, L Xie, Y Chen, J Han, L Guo, F Zhou, T Liu IEEE journal of biomedical and health informatics 23 (6), 2515-2525, 2018 | 45 | 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 | 44 | 2016 |
| Assessing effects of prenatal alcohol exposure using group-wise sparse representation of fMRI data J Lv, X Jiang, X Li, D Zhu, S Zhao, T Zhang, X Hu, J Han, L Guo, Z Li, ... Psychiatry Research: Neuroimaging 233 (2), 254-268, 2015 | 39 | 2015 |
| Evaluating large language models for radiology natural language processing Z Liu, T Zhong, Y Li, Y Zhang, Y Pan, Z Zhao, P Dong, C Cao, Y Liu, ... arXiv preprint arXiv:2307.13693, 2023 | 37 | 2023 |
| 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 | 36 | 2019 |
| 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 | 33 | 2016 |
| Eliminating indefiniteness of clinical spectrum for better screening COVID-19 G Guo, Z Liu, S Zhao, L Guo, T Liu IEEE Journal of Biomedical and Health Informatics 25 (5), 1347-1357, 2021 | 31 | 2021 |
| 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 | 29 | 2020 |
| Holistic evaluation of gpt-4v for biomedical imaging Z Liu, H Jiang, T Zhong, Z Wu, C Ma, Y Li, X Yu, Y Zhang, Y Pan, P Shu, ... arXiv preprint arXiv:2312.05256, 2023 | 26 | 2023 |
| Test–retest reliability of dynamic functional connectivity in naturalistic paradigm functional magnetic resonance imaging X Zhang, J Liu, Y Yang, S Zhao, L Guo, J Han, X Hu Human brain mapping 43 (4), 1463-1476, 2022 | 25 | 2022 |
| Decoding auditory saliency from brain activity patterns during free listening to naturalistic audio excerpts S Zhao, J Han, X Jiang, H Huang, H Liu, J Lv, L Guo, T Liu Neuroinformatics 16, 309-324, 2018 | 23 | 2018 |
| A deep learning method for autism spectrum disorder identification based on interactions of hierarchical brain networks N Qiang, J Gao, Q Dong, J Li, S Zhang, H Liang, Y Sun, B Ge, Z Liu, Z Wu, ... Behavioural Brain Research 452, 114603, 2023 | 21 | 2023 |
| Clep: Contrastive learning for epileptic seizure prediction using a spatio-temporal-spectral network L Guo, T Yu, S Zhao, X Li, X Liao, Y Li IEEE Transactions on Neural Systems and Rehabilitation Engineering 31, 3915-3926, 2023 | 20 | 2023 |
Tianming LiuDistinguished Research Professor of Computer Science, University of GeorgiaPotvrđena adresa e-pošte na cs.uga.edu