Fangfei Ge

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 17

Top Topics

Functional Brain

Convolutional Neural Networks

Top Venues

Medical Image Anal.

IEEE Trans. Cogn. Dev. Syst.

Publications

Shengfeng Liu, Fangfei Ge, Lin Zhao, Tianfu Wang, Dong Ni, Tianming Liu
NAS-optimized topology-preserving transfer learning for differentiating cortical folding patterns. Medical Image Anal. 77 (2022)
Ning Qiang, Qinglin Dong, Fangfei Ge, Hongtao Liang, Bao Ge, Shu Zhang, Yifei Sun, Jie Gao, Tianming Liu
Deep Variational Autoencoder for Mapping Functional Brain Networks. IEEE Trans. Cogn. Dev. Syst. 13 (4) (2021)
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)
Wei Zhang, Shijie Zhao, Xintao Hu, Qinglin Dong, Heng Huang, Shu Zhang, Yu Zhao, Haixing Dai, Fangfei Ge, Lei Guo, Tianming Liu
Hierarchical Organization of Functional Brain Networks Revealed by Hybrid Spatiotemporal Deep Learning. Brain Connect. 10 (2) (2020)
Qinglin Dong, Fangfei Ge, Ning Qiang, Yu Zhao, Jinglei Lv, Heng Huang, Jing Yuan, Xi Jiang, Dinggang Shen, Tianming Liu
Modeling Hierarchical Brain Networks via Volumetric Sparse Deep Belief Network. IEEE Trans. Biomed. Eng. 67 (6) (2020)
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 (2020)
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)
Fangfei Ge, Shu Zhang, Heng Huang, Xi Jiang, Qinglin Dong, Lei Guo, Xianqiao Wang, Tianming Liu
Exploring Intrinsic Functional Differences of Gyri, Sulci and 2-Hinge, 3-Hinge Joints on Cerebral Cortex. ISBI (2019)
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)
Yu Zhao, Haixing Dai, Wei Zhang, Fangfei Ge, Tianming Liu
Two-Stage Spatial Temporal Deep Learning Framework For Functional Brain Network Modeling. ISBI (2019)
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)
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 (2018)
Fangfei Ge, Hanbo Chen, Tuo Zhang, Xianqiao Wang, Lin Yuan, Xintao Hu, Lei Guo, Tianming Liu
A novel framework for analyzing cortical folding patterns based on sulcal baselines and gyral crestlines. ISBI (2018)
Fangfei Ge, Jinglei Lv, Xintao Hu, Lei Guo, Junwei Han, Shijie Zhao, Tianming Liu
Exploring intrinsic networks and their interactions using group wise temporal sparse coding. ISBI (2018)
Hanbo Chen, Yujie Li, Fangfei Ge, Gang Li, Dinggang Shen, Tianming Liu
Gyral net: A new representation of cortical folding organization. Medical Image Anal. 42 (2017)
Jinglei Lv, Armin Iraji, Hanbo Chen, Fangfei Ge, Lei Guo, Xin Zhang, Zhifeng Kou, Tianming Liu
Group-wise sparse representation of brain states reveal network abnormalities in mild traumatic brain injury. ISBI (2016)
Jinglei Lv, Armin Iraji, Fangfei Ge, Shijie Zhao, Xintao Hu, Tuo Zhang, Junwei Han, Lei Guo, Zhifeng Kou, Tianming Liu
Temporal Concatenated Sparse Coding of Resting State fMRI Data Reveal Network Interaction Changes in mTBI. MICCAI (1) (2016)
Fangfei Ge, Jinglei Lv, Xintao Hu, Bao Ge, Lei Guo, Junwei Han, Tianming Liu
Deriving ADHD biomarkers with sparse coding based network analysis. ISBI (2015)