Fangfei Ge - RankMe

18 papers Journal 7Unranked 11

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	NAS-optimized topology-preserving transfer learning for differentiating cortical folding patterns. Medical Image Anal. Shengfeng Liu, Fangfei Ge, Lin Zhao, Tianfu Wang, Dong Ni, Tianming Liu
2021	J	`jnl`	Deep Variational Autoencoder for Mapping Functional Brain Networks. IEEE Trans. Cogn. Dev. Syst. Ning Qiang, Qinglin Dong, Fangfei Ge, Hongtao Liang, Bao Ge, Shu Zhang, Yifei Sun, Jie Gao, Tianming Liu
2020	J	`jnl`	Hierarchical Organization of Functional Brain Networks Revealed by Hybrid Spatiotemporal Deep Learning. Brain Connect. Wei Zhang, Shijie Zhao, Xintao Hu, Qinglin Dong, Heng Huang, Shu Zhang, Yu Zhao, Haixing Dai, Fangfei Ge, Lei Guo, Tianming Liu
2020	J	`jnl`	Modeling Hierarchical Brain Networks via Volumetric Sparse Deep Belief Network. IEEE Trans. Biomed. Eng. Qinglin Dong, Fangfei Ge, Ning Qiang, Yu Zhao, Jinglei Lv, Heng Huang, Jing Yuan, Xi Jiang, Dinggang Shen, Tianming Liu
2020	J	`jnl`	Modeling task-based fMRI data via deep belief network with neural architecture search. Comput. Medical Imaging Graph. Ning Qiang, Qinglin Dong, Wei Zhang, Bao Ge, Fangfei Ge, Hongtao Liang, Yifei Sun, Jie Gao, Tianming Liu
2020	—	`conf`	Optimize CNN Model for FMRI Signal Classification Via Adanet-Based Neural Architecture Search. ISBI Haixing Dai, Fangfei Ge, Qing Li, Wei Zhang, Tianming Liu
2019	—	`conf`	Exploring Intrinsic Functional Differences of Gyri, Sulci and 2-Hinge, 3-Hinge Joints on Cerebral Cortex. ISBI Fangfei Ge, Shu Zhang, Heng Huang, Xi Jiang, Qinglin Dong, Lei Guo, Xianqiao Wang, Tianming Liu
2019	—	`conf`	Neural Architecture Search for Optimizing Deep Belief Network Models of fMRI Data. MMMI@MICCAI Ning Qiang, Bao Ge, Qinglin Dong, Fangfei Ge, Tianming Liu
2019	—	`conf`	Simultaneous Spatial-Temporal Decomposition of Connectome-Scale Brain Networks by Deep Sparse Recurrent Auto-Encoders. IPMI Qing Li, Qinglin Dong, Fangfei Ge, Ning Qiang, Yu Zhao, Han Wang, Heng Huang, Xia Wu, Tianming Liu
2019	—	`conf`	Two-Stage Spatial Temporal Deep Learning Framework For Functional Brain Network Modeling. ISBI Yu Zhao, Haixing Dai, Wei Zhang, Fangfei Ge, Tianming Liu
2018	—	`conf`	3D Deep Convolutional Neural Network Revealed the Value of Brain Network Overlap in Differentiating Autism Spectrum Disorder from Healthy Controls. MICCAI (3) Yu Zhao, Fangfei Ge, Shu Zhang, Tianming Liu
2018	—	`conf`	A novel framework for analyzing cortical folding patterns based on sulcal baselines and gyral crestlines. ISBI Fangfei Ge, Hanbo Chen, Tuo Zhang, Xianqiao Wang, Lin Yuan, Xintao Hu, Lei Guo, Tianming Liu
2018	J	`jnl`	Automatic recognition of holistic functional brain networks using iteratively optimized convolutional neural networks (IO-CNN) with weak label initialization. Medical Image Anal. Yu Zhao, Fangfei Ge, Tianming Liu
2018	—	`conf`	Exploring intrinsic networks and their interactions using group wise temporal sparse coding. ISBI Fangfei Ge, Jinglei Lv, Xintao Hu, Lei Guo, Junwei Han, Shijie Zhao, Tianming Liu
2017	J	`jnl`	Gyral net: A new representation of cortical folding organization. Medical Image Anal. Hanbo Chen, Yujie Li, Fangfei Ge, Gang Li, Dinggang Shen, Tianming Liu
2016	—	`conf`	Group-wise sparse representation of brain states reveal network abnormalities in mild traumatic brain injury. ISBI Jinglei Lv, Armin Iraji, Hanbo Chen, Fangfei Ge, Lei Guo, Xin Zhang, Zhifeng Kou, Tianming Liu
2016	—	`conf`	Temporal Concatenated Sparse Coding of Resting State fMRI Data Reveal Network Interaction Changes in mTBI. MICCAI (1) Jinglei Lv, Armin Iraji, Fangfei Ge, Shijie Zhao, Xintao Hu, Tuo Zhang, Junwei Han, Lei Guo, Zhifeng Kou, Tianming Liu
2015	—	`conf`	Deriving ADHD biomarkers with sparse coding based network analysis. ISBI Fangfei Ge, Jinglei Lv, Xintao Hu, Bao Ge, Lei Guo, Junwei Han, Tianming Liu