Fangfei Ge

According to our database, Fangfei Ge authored at least 18 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

NAS-optimized topology-preserving transfer learning for differentiating cortical folding patterns.

Shengfeng Liu, Fangfei Ge, Lin Zhao, Tianfu Wang, Dong Ni, Tianming Liu

Medical Image Anal., 2022

2021

Deep Variational Autoencoder for Mapping Functional Brain Networks.

Ning Qiang, Qinglin Dong, Fangfei Ge, Hongtao Liang, Bao Ge, Shu Zhang, Yifei Sun, Jie Gao, Tianming Liu

IEEE Trans. Cogn. Dev. Syst., 2021

2020

Modeling Hierarchical Brain Networks via Volumetric Sparse Deep Belief Network.

Qinglin Dong, Fangfei Ge, Ning Qiang, Yu Zhao, Jinglei Lv, Heng Huang, Jing Yuan, Xi Jiang, Dinggang Shen, Tianming Liu

IEEE Trans. Biomed. Eng., 2020

Modeling task-based fMRI data via deep belief network with neural architecture search.

Ning Qiang, Qinglin Dong, Wei Zhang, Bao Ge, Fangfei Ge, Hongtao Liang, Yifei Sun, Jie Gao, Tianming Liu

Comput. Medical Imaging Graph., 2020

Hierarchical Organization of Functional Brain Networks Revealed by Hybrid Spatiotemporal Deep Learning.

Wei Zhang, Shijie Zhao, Xintao Hu, Qinglin Dong, Heng Huang, Shu Zhang, Yu Zhao, Haixing Dai, Fangfei Ge, Lei Guo, Tianming Liu

Brain Connect., 2020

Optimize CNN Model for FMRI Signal Classification Via Adanet-Based Neural Architecture Search.

Haixing Dai, Fangfei Ge, Qing Li, Wei Zhang, Tianming Liu

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Neural Architecture Search for Optimizing Deep Belief Network Models of fMRI Data.

Ning Qiang, Bao Ge, Qinglin Dong, Fangfei Ge, Tianming Liu

Proceedings of the Multiscale Multimodal Medical Imaging - First International Workshop, 2019

Two-Stage Spatial Temporal Deep Learning Framework For Functional Brain Network Modeling.

Yu Zhao, Haixing Dai, Wei Zhang, Fangfei Ge, Tianming Liu

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Exploring Intrinsic Functional Differences of Gyri, Sulci and 2-Hinge, 3-Hinge Joints on Cerebral Cortex.

Fangfei Ge, Shu Zhang, Heng Huang, Xi Jiang, Qinglin Dong, Lei Guo, Xianqiao Wang, Tianming Liu

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Simultaneous Spatial-Temporal Decomposition of Connectome-Scale Brain Networks by Deep Sparse Recurrent Auto-Encoders.

Qing Li, Qinglin Dong, Fangfei Ge, Ning Qiang, Yu Zhao, Han Wang, Heng Huang, Xia Wu, Tianming Liu

Proceedings of the Information Processing in Medical Imaging, 2019

2018

Automatic recognition of holistic functional brain networks using iteratively optimized convolutional neural networks (IO-CNN) with weak label initialization.

Yu Zhao, Fangfei Ge, Tianming Liu

Medical Image Anal., 2018

3D Deep Convolutional Neural Network Revealed the Value of Brain Network Overlap in Differentiating Autism Spectrum Disorder from Healthy Controls.

Yu Zhao, Fangfei Ge, Shu Zhang, Tianming Liu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Exploring intrinsic networks and their interactions using group wise temporal sparse coding.

Fangfei Ge, Jinglei Lv, Xintao Hu, Lei Guo, Junwei Han, Shijie Zhao, Tianming Liu

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

A novel framework for analyzing cortical folding patterns based on sulcal baselines and gyral crestlines.

Fangfei Ge, Hanbo Chen, Tuo Zhang, Xianqiao Wang, Lin Yuan, Xintao Hu, Lei Guo, Tianming Liu

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

Gyral net: A new representation of cortical folding organization.

Hanbo Chen, Yujie Li, Fangfei Ge, Gang Li, Dinggang Shen, Tianming Liu

Medical Image Anal., 2017

2016

Temporal Concatenated Sparse Coding of Resting State fMRI Data Reveal Network Interaction Changes in mTBI.

Jinglei Lv, Armin Iraji, Fangfei Ge, Shijie Zhao, Xintao Hu, Tuo Zhang, Junwei Han, Lei Guo, Zhifeng Kou, Tianming Liu

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Group-wise sparse representation of brain states reveal network abnormalities in mild traumatic brain injury.

Jinglei Lv, Armin Iraji, Hanbo Chen, Fangfei Ge, Lei Guo, Xin Zhang, Zhifeng Kou, Tianming Liu

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015

Deriving ADHD biomarkers with sparse coding based network analysis.

Fangfei Ge, Jinglei Lv, Xintao Hu, Bao Ge, Lei Guo, Junwei Han, Tianming Liu

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015