Qinglin Dong - RankMe

30 papers A* 1Journal 14Unranked 15

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Functional brain network identification and fMRI augmentation using a VAE-GAN framework. Comput. Biol. Medicine Ning Qiang, Jie Gao, Qinglin Dong, Huiji Yue, Hongtao Liang, Lili Liu, Jingjing Yu, Jing Hu, Shu Zhang, Bao Ge, Yifei Sun, Zhengliang Liu, Tianming Liu, Jin Li, Hujie Song, Shijie Zhao
2022	J	`jnl`	A novel ADHD classification method based on resting state temporal templates (RSTT) using spatiotemporal attention auto-encoder. Neural Comput. Appl. Ning Qiang, Qinglin Dong, Hongtao Liang, Bao Ge, Shu Zhang, Cheng Zhang, Jie Gao, Yifei Sun
2022	J	`jnl`	Learning brain representation using recurrent Wasserstein generative adversarial net. Comput. Methods Programs Biomed. Ning Qiang, Qinglin Dong, Hongtao Liang, Jin Li, Shu Zhang, Cheng Zhang, Bao Ge, Yifei Sun, Jie Gao, Tianming Liu, Huiji Yue, Shijie Zhao
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	—	`conf`	A Novel fMRI Representation Learning Framework with GAN. MLMI@MICCAI Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Liang Dong, Tianming Liu, Quanzheng Li
2020	—	`conf`	Deep Variational Autoencoder for Modeling Functional Brain Networks and ADHD Identification. ISBI Ning Qiang, Qinglin Dong, Yifei Sun, Bao Ge, Tianming Liu
2020	—	`conf`	Discovering Functional Brain Networks with 3D Residual Autoencoder (ResAE). MICCAI (7) Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Tianming Liu, Quanzheng Li
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`	Spatiotemporal Attention Autoencoder (STAAE) for ADHD Classification. MICCAI (7) Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Tianming Liu, Quanzheng Li
2020	—	`conf`	Task fMRI Guided Fiber Clustering via a Deep Clustering Method. ISBI Huan Wang, Qinglin Dong, Ning Qiang, Xin Zhang, Tianming Liu, Bao Ge
2019	J	`jnl`	Discovering hierarchical common brain networks via multimodal deep belief network. Medical Image Anal. Shu Zhang, Qinglin Dong, Wei Zhang, Heng Huang, Dajiang Zhu, 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`	Identify Hierarchical Structures from Task-Based fMRI Data via Hybrid Spatiotemporal Neural Architecture Search Net. MICCAI (3) Wei Zhang, Lin Zhao, Qing Li, Shijie Zhao, Qinglin Dong, Xi Jiang, Tuo Zhang, 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	J	`jnl`	Recognizing Brain States Using Deep Sparse Recurrent Neural Network. IEEE Trans. Medical Imaging Han Wang, Shijie Zhao, Qinglin Dong, Yan Cui, Yaowu Chen, Junwei Han, Li Xie, 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	J	`jnl`	Training a Camera to Perform Long-Distance Eye Tracking by Another Eye-Tracker. IEEE Access Wenyu Li, Qinglin Dong, Hao Jia, Shijie Zhao, Yongchen Wang, Li Xie, Qiang Pan, Feng Duan, Tianming Liu
2018	J	`jnl`	Automatic Recognition of fMRI-Derived Functional Networks Using 3-D Convolutional Neural Networks. IEEE Trans. Biomed. Eng. Yu Zhao, Qinglin Dong, Shu Zhang, Wei Zhang, Hanbo Chen, Xi Jiang, Lei Guo, Xintao Hu, Junwei Han, Tianming Liu
2018	J	`jnl`	Modeling Task fMRI Data Via Deep Convolutional Autoencoder. IEEE Trans. Medical Imaging Heng Huang, Xintao Hu, Yu Zhao, Milad Makkie, Qinglin Dong, Shijie Zhao, Lei Guo, Tianming Liu
2018	—	`conf`	Modeling task fMRI data via mixture of deep expert networks. ISBI Heng Huang, Xintao Hu, Qinglin Dong, Shijie Zhao, Shu Zhang, Yu Zhao, Lei Quo, Tianming Liu
2018	J	`jnl`	Spatio-temporal modeling of connectome-scale brain network interactions via time-evolving graphs. NeuroImage Jing Yuan, Xiang Li, Jinhe Zhang, Liao Luo, Qinglin Dong, Jinglei Lv, Yu Zhao, Xi Jiang, Shu Zhang, Wei Zhang, Tianming Liu
2017	—	`conf`	3-D functional brain network classification using Convolutional Neural Networks. ISBI Dehua Ren, Yu Zhao, Hanbo Chen, Qinglin Dong, Jinglei Lv, Tianming Liu
2017	J	`jnl`	Constructing fine-granularity functional brain network atlases via deep convolutional autoencoder. Medical Image Anal. Yu Zhao, Qinglin Dong, Hanbo Chen, Armin Iraji, Yujie Li, Milad Makkie, Zhifeng Kou, Tianming Liu
2017	—	`conf`	Decoding dynamic auditory attention during naturalistic experience. ISBI Liting Wang, Xintao Hu, Meng Wang, Jinglei Lv, Junwei Han, Shijie Zhao, Qinglin Dong, Lei Guo, Tianming Liu
2017	—	`conf`	Modeling Task fMRI Data via Deep Convolutional Autoencoder. IPMI Heng Huang, Xintao Hu, Milad Makkie, Qinglin Dong, Yu Zhao, Junwei Han, Lei Guo, Tianming Liu
2017	—	`conf`	Predicting cortical 3-hinge locations via structural connective features. ISBI Xiao Li, Tuo Zhang, Qinglin Dong, Shu Zhang, Xintao Hu, Lei Du, Lei Guo, Tianming Liu
2016	—	`conf`	Multple-demand system identification and characterization via sparse representations of fMRI data. ISBI Xiang Li, Qinglin Dong, Xi Jiang, Jinglei Lv, Tianming Liu
2016	A*	`conf`	What Makes a Good Movie Trailer?: Interpretation from Simultaneous EEG and Eyetracker Recording. ACM Multimedia Sidi Liu, Jinglei Lv, Yimin Hou, Ting Shoemaker, Qinglin Dong, Kaiming Li, Tianming Liu