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Fangfei Ge
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2020 – today
- 2022
- [j7]Shengfeng Liu
, Fangfei Ge, Lin Zhao
NAS-optimized topology-preserving transfer learning for differentiating cortical folding patterns. Medical Image Anal. 77: 102316 (2022) - 2021
- [j6]Ning Qiang
Deep Variational Autoencoder for Mapping Functional Brain Networks. IEEE Trans. Cogn. Dev. Syst. 13(4): 841-852 (2021) - 2020
- [j5]Wei Zhang, Shijie Zhao, Xintao Hu
Hierarchical Organization of Functional Brain Networks Revealed by Hybrid Spatiotemporal Deep Learning. Brain Connect. 10(2): 72-82 (2020) - [j4]Ning Qiang, Qinglin Dong, Wei Zhang, Bao Ge, Fangfei Ge, Hongtao Liang, Yifei Sun, Jie Gao, Tianming Liu
Modeling task-based fMRI data via deep belief network with neural architecture search. Comput. Medical Imaging Graph. 83: 101747 (2020) - [j3]Qinglin Dong
Modeling Hierarchical Brain Networks via Volumetric Sparse Deep Belief Network. IEEE Trans. Biomed. Eng. 67(6): 1739-1748 (2020) - [c11]Haixing Dai, Fangfei Ge, Qing Li, Wei Zhang, Tianming Liu:
Optimize CNN Model for FMRI Signal Classification Via Adanet-Based Neural Architecture Search. ISBI 2020: 1399-1403
2010 – 2019
- 2019
- [c10]Qing Li, Qinglin Dong, Fangfei Ge, Ning Qiang, Yu Zhao, Han Wang, Heng Huang, Xia Wu, Tianming Liu:
Simultaneous Spatial-Temporal Decomposition of Connectome-Scale Brain Networks by Deep Sparse Recurrent Auto-Encoders. IPMI 2019: 579-591 - [c9]Yu Zhao, Haixing Dai, Wei Zhang, Fangfei Ge, Tianming Liu:
Two-Stage Spatial Temporal Deep Learning Framework For Functional Brain Network Modeling. ISBI 2019: 1576-1580 - [c8]Fangfei Ge, Shu Zhang, Heng Huang, Xi Jiang
Exploring Intrinsic Functional Differences of Gyri, Sulci and 2-Hinge, 3-Hinge Joints on Cerebral Cortex. ISBI 2019: 1585-1589 - [c7]Ning Qiang, Bao Ge, Qinglin Dong, Fangfei Ge, Tianming Liu:
Neural Architecture Search for Optimizing Deep Belief Network Models of fMRI Data. MMMI@MICCAI 2019: 26-34 - 2018
- [j2]Yu Zhao, Fangfei Ge, Tianming Liu:
Automatic recognition of holistic functional brain networks using iteratively optimized convolutional neural networks (IO-CNN) with weak label initialization. Medical Image Anal. 47: 111-126 (2018) - [c6]Fangfei Ge, Jinglei Lv
Exploring intrinsic networks and their interactions using group wise temporal sparse coding. ISBI 2018: 74-77 - [c5]Fangfei Ge, Hanbo Chen, Tuo Zhang, Xianqiao Wang, Lin Yuan, Xintao Hu
A novel framework for analyzing cortical folding patterns based on sulcal baselines and gyral crestlines. ISBI 2018: 1043-1047 - [c4]Yu Zhao, Fangfei Ge, Shu Zhang, Tianming Liu:
3D Deep Convolutional Neural Network Revealed the Value of Brain Network Overlap in Differentiating Autism Spectrum Disorder from Healthy Controls. MICCAI (3) 2018: 172-180 - 2017
- [j1]Hanbo Chen, Yujie Li, Fangfei Ge, Gang Li
Gyral net: A new representation of cortical folding organization. Medical Image Anal. 42: 14-25 (2017) - 2016
- [c3]Jinglei Lv
Group-wise sparse representation of brain states reveal network abnormalities in mild traumatic brain injury. ISBI 2016: 58-61 - [c2]Jinglei Lv
Temporal Concatenated Sparse Coding of Resting State fMRI Data Reveal Network Interaction Changes in mTBI. MICCAI (1) 2016: 46-54 - 2015
- [c1]Fangfei Ge, Jinglei Lv
Deriving ADHD biomarkers with sparse coding based network analysis. ISBI 2015: 22-25
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