Follow
Fangfei Ge
Fangfei Ge
Verified email at uga.edu
Title
Cited by
Cited by
Year
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
422018
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
392019
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
372019
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
372019
Gyral net: A new representation of cortical folding organization
H Chen, Y Li, F Ge, G Li, D Shen, T Liu
Medical image analysis 42, 14-25, 2017
332017
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
312016
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 83, 101747, 2020
302020
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
302018
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
262020
Cortical 3-hinges could serve as hubs in cortico-cortical connective network
T Zhang, X Li, X Jiang, F Ge, S Zhang, L Zhao, H Liu, Y Huang, X Wang, ...
Brain imaging and behavior 14, 2512-2529, 2020
232020
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
222020
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
212018
Exploring 3‐hinge gyral folding patterns among HCP Q3 868 human subjects
T Zhang, H Chen, MJ Razavi, Y Li, F Ge, L Guo, X Wang, T Liu
Human brain mapping 39 (10), 4134-4149, 2018
202018
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
162019
Neural architecture search for optimizing deep belief network models of fMRI data
N Qiang, B Ge, Q Dong, F Ge, T Liu
Multiscale Multimodal Medical Imaging: First International Workshop, MMMI …, 2020
132020
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
122020
Exploring intrinsic networks and their interactions using group wise temporal sparse coding
F Ge, J Lv, X Hu, L Guo, J Han, S Zhao, T Liu
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), 74-77, 2018
112018
Deriving ADHD biomarkers with sparse coding based network analysis
F Ge, J Lv, X Hu, B Ge, L Guo, J Han, T Liu
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 22-25, 2015
102015
NAS-optimized topology-preserving transfer learning for differentiating cortical folding patterns
S Liu, F Ge, L Zhao, T Wang, D Ni, T Liu
Medical image analysis 77, 102316, 2022
92022
Temporal concatenated sparse coding of resting state fMRI data reveal network interaction changes in mTBI
J Lv, A Iraji, F Ge, S Zhao, X Hu, T Zhang, J Han, L Guo, Z Kou, T Liu
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016
62016
The system can't perform the operation now. Try again later.
Articles 1–20