| 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 | 68 | 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 | 52 | 2015 |
| 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 | 44 | 2017 |
| 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 | 30 | 2017 |
| Optimization of large-scale mouse brain connectome via joint evaluation of DTI and neuron tracing data H Chen, T Liu, Y Zhao, T Zhang, Y Li, M Li, H Zhang, H Kuang, L Guo, ... Neuroimage 115, 202-213, 2015 | 30 | 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 | 27 | 2018 |
| Constructing fine-granularity functional brain network atlases via deep convolutional autoencoder Y Zhao, Q Dong, H Chen, A Iraji, Y Li, M Makkie, Z Kou, T Liu Medical image analysis 42, 200-211, 2017 | 27 | 2017 |
| 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 | 21 | 2016 |
| Fast and scalable distributed deep convolutional autoencoder for fMRI big data analytics M Makkie, H Huang, Y Zhao, AV Vasilakos, T Liu Neurocomputing 325, 20-30, 2019 | 19 | 2019 |
| HAFNI-enabled largescale platform for neuroimaging informatics (HELPNI) M Makkie, S Zhao, X Jiang, J Lv, Y Zhao, B Ge, X Li, J Han, T Liu Brain informatics 2 (4), 225-238, 2015 | 16 | 2015 |
| 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 International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 15 | 2018 |
| 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 | 13 | 2018 |
| 3D deep convolutional neural network revealed the value of brain network overlap in differentiating autism spectrum disorder from healthy controls Y Zhao, F Ge, S Zhang, T Liu International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 13 | 2018 |
| Automatic recognition of holistic functional brain networks using iteratively optimized convolutional neural networks (IO-CNN) with weak label initialization Y Zhao, F Ge, T Liu Medical image analysis 47, 111-126, 2018 | 12 | 2018 |
| 3-D functional brain network classification using convolutional neural networks D Ren, Y Zhao, H Chen, Q Dong, J Lv, T Liu 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017 | 10 | 2017 |
| 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 | 9 | 2017 |
| Radial structure scaffolds convolution patterns of developing cerebral cortex MJ Razavi, T Zhang, H Chen, Y Li, S Platt, Y Zhao, L Guo, X Hu, X Wang, ... Frontiers in computational neuroscience 11, 76, 2017 | 8 | 2017 |
| Deep learning models unveiled functional difference between cortical gyri and sulci S Zhang, H Liu, H Huang, Y Zhao, X Jiang, B Bowers, L Guo, X Hu, ... IEEE Transactions on Biomedical Engineering 66 (5), 1297-1308, 2018 | 7 | 2018 |
| Towards MR-only radiotherapy treatment planning: synthetic CT generation using multi-view deep convolutional neural networks Y Zhao, S Liao, Y Guo, L Zhao, Z Yan, S Hong, G Hermosillo, T Liu, ... International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 7 | 2018 |
| Simultaneous spatial-temporal decomposition of connectome-scale brain networks by deep sparse recurrent auto-encoders Q Li, Q Dong, F Ge, N Qiang, Y Zhao, H Wang, H Huang, X Wu, T Liu International Conference on Information Processing in Medical Imaging, 579-591, 2019 | 6 | 2019 |
Tianming LiuUniversity of GeorgiaVerified email at cs.uga.edu
Tianming LiuUniversity of GeorgiaVerified email at cs.uga.edu