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 | 194 | 2017 |
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 |
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 | 82 | 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 | 70 | 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 | 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 |
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 | 47 | 2015 |
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 | 43 | 2019 |
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 Information Processing in Medical Imaging: 26th International Conference …, 2019 | 40 | 2019 |
Modeling hierarchical brain networks via volumetric sparse deep belief network Q Dong, F Ge, Q Ning, Y Zhao, J Lv, H Huang, J Yuan, X Jiang, D Shen, ... IEEE transactions on biomedical engineering 67 (6), 1739-1748, 2019 | 38 | 2019 |
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 | 37 | 2019 |
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 | 36 | 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 | 31 | 2016 |
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 Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 30 | 2018 |
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 | 27 | 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 |
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 | 26 | 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 | 21 | 2018 |
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 | 21 | 2017 |
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, 225-238, 2015 | 17 | 2015 |