Deriving ADHD biomarkers with sparse coding based network analysis. - Fangfei Ge; Jinglei Lv; Xintao Hu; Bao Ge; Lei Guo 002; Junwei Han 001; Tianming Liu 001 (ISBI, 2015)

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 002; Xin Zhang 013; Zhifeng Kou; Tianming Liu 001 (ISBI, 2016)

Temporal Concatenated Sparse Coding of Resting State fMRI Data Reveal Network Interaction Changes in mTBI. - Jinglei Lv; Armin Iraji; Fangfei Ge; Shijie Zhao 001; Xintao Hu; Tuo Zhang; Junwei Han 001; Lei Guo 002; Zhifeng Kou; Tianming Liu 001 (MICCAI (1), 2016)

Gyral net: A new representation of cortical folding organization. - Hanbo Chen; Yujie Li 004; Fangfei Ge; Gang Li 001; Dinggang Shen; Tianming Liu 001 (Medical Image Anal., 2017)

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 002; Tianming Liu 001 (ISBI, 2018)

Exploring intrinsic networks and their interactions using group wise temporal sparse coding. - Fangfei Ge; Jinglei Lv; Xintao Hu; Lei Guo 002; Junwei Han 001; Shijie Zhao 001; Tianming Liu 001 (ISBI, 2018)

3D Deep Convolutional Neural Network Revealed the Value of Brain Network Overlap in Differentiating Autism Spectrum Disorder from Healthy Controls. - Yu Zhao 007; Fangfei Ge; Shu Zhang 001; Tianming Liu 001 (MICCAI (3), 2018)

Automatic recognition of holistic functional brain networks using iteratively optimized convolutional neural networks (IO-CNN) with weak label initialization. - Yu Zhao 007; Fangfei Ge; Tianming Liu 001 (Medical Image Anal., 2018)

Simultaneous Spatial-Temporal Decomposition of Connectome-Scale Brain Networks by Deep Sparse Recurrent Auto-Encoders. - Qing Li 027; Qinglin Dong; Fangfei Ge; Ning Qiang; Yu Zhao 007; Han Wang 012; Heng Huang; Xia Wu 001; Tianming Liu 001 (IPMI, 2019)

Exploring Intrinsic Functional Differences of Gyri, Sulci and 2-Hinge, 3-Hinge Joints on Cerebral Cortex. - Fangfei Ge; Shu Zhang 001; Heng Huang; Xi Jiang 001; Qinglin Dong; Lei Guo 002; Xianqiao Wang; Tianming Liu 001 (ISBI, 2019)

Two-Stage Spatial Temporal Deep Learning Framework For Functional Brain Network Modeling. - Yu Zhao 007; Haixing Dai; Wei Zhang 090; Fangfei Ge; Tianming Liu 001 (ISBI, 2019)

Neural Architecture Search for Optimizing Deep Belief Network Models of fMRI Data. - Ning Qiang; Bao Ge; Qinglin Dong; Fangfei Ge; Tianming Liu 001 (MMMI@MICCAI, 2019)

Optimize CNN Model for FMRI Signal Classification Via Adanet-Based Neural Architecture Search. - Haixing Dai; Fangfei Ge; Qing Li 027; Wei Zhang 090; Tianming Liu 001 (ISBI, 2020)

Hierarchical Organization of Functional Brain Networks Revealed by Hybrid Spatiotemporal Deep Learning. - Wei Zhang 090; Shijie Zhao 001; Xintao Hu; Qinglin Dong; Heng Huang; Shu Zhang 001; Yu Zhao 007; Haixing Dai; Fangfei Ge; Lei Guo 002; Tianming Liu 001 (Brain Connect., 2020)

Modeling task-based fMRI data via deep belief network with neural architecture search. - Ning Qiang; Qinglin Dong; Wei Zhang 090; Bao Ge; Fangfei Ge; Hongtao Liang; Yifei Sun; Jie Gao 016; Tianming Liu 001 (Comput. Medical Imaging Graph., 2020)

Modeling Hierarchical Brain Networks via Volumetric Sparse Deep Belief Network. - Qinglin Dong; Fangfei Ge; Ning Qiang; Yu Zhao 007; Jinglei Lv; Heng Huang; Jing Yuan 004; Xi Jiang 001; Dinggang Shen; Tianming Liu 001 (IEEE Trans. Biomed. Eng., 2020)

Deep Variational Autoencoder for Mapping Functional Brain Networks. - Ning Qiang; Qinglin Dong; Fangfei Ge; Hongtao Liang; Bao Ge; Shu Zhang 001; Yifei Sun; Jie Gao 016; Tianming Liu 001 (IEEE Trans. Cogn. Dev. Syst., 2021)

NAS-optimized topology-preserving transfer learning for differentiating cortical folding patterns. - Shengfeng Liu; Fangfei Ge; Lin Zhao 004; Tianfu Wang 001; Dong Ni 001; Tianming Liu 001 (Medical Image Anal., 2022)