Qinglin Dong

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 30

Top Topics

Hierarchical Structures

Clustering Method

Functional Brain

Top Venues

Medical Image Anal.

Publications

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
Functional brain network identification and fMRI augmentation using a VAE-GAN framework. Comput. Biol. Medicine 165 (2023)
Ning Qiang, Qinglin Dong, Hongtao Liang, Bao Ge, Shu Zhang, Cheng Zhang, Jie Gao, Yifei Sun
A novel ADHD classification method based on resting state temporal templates (RSTT) using spatiotemporal attention auto-encoder. Neural Comput. Appl. 34 (10) (2022)
Ning Qiang, Qinglin Dong, Hongtao Liang, Jin Li, Shu Zhang, Cheng Zhang, Bao Ge, Yifei Sun, Jie Gao, Tianming Liu, Huiji Yue, Shijie Zhao
Learning brain representation using recurrent Wasserstein generative adversarial net. Comput. Methods Programs Biomed. 223 (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)
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, Ning Qiang, Jinglei Lv, Xiang Li, Tianming Liu, Quanzheng Li
Discovering Functional Brain Networks with 3D Residual Autoencoder (ResAE). MICCAI (7) (2020)
Huan Wang, Qinglin Dong, Ning Qiang, Xin Zhang, Tianming Liu, Bao Ge
Task fMRI Guided Fiber Clustering via a Deep Clustering Method. ISBI (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)
Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Liang Dong, Tianming Liu, Quanzheng Li
A Novel fMRI Representation Learning Framework with GAN. MLMI@MICCAI (2020)
Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Tianming Liu, Quanzheng Li
Spatiotemporal Attention Autoencoder (STAAE) for ADHD Classification. MICCAI (7) (2020)
Ning Qiang, Qinglin Dong, Yifei Sun, Bao Ge, Tianming Liu
Deep Variational Autoencoder for Modeling Functional Brain Networks and ADHD Identification. ISBI (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)
Wei Zhang, Lin Zhao, Qing Li, Shijie Zhao, Qinglin Dong, Xi Jiang, Tuo Zhang, Tianming Liu
Identify Hierarchical Structures from Task-Based fMRI Data via Hybrid Spatiotemporal Neural Architecture Search Net. MICCAI (3) (2019)
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)
Han Wang, Shijie Zhao, Qinglin Dong, Yan Cui, Yaowu Chen, Junwei Han, Li Xie, Tianming Liu
Recognizing Brain States Using Deep Sparse Recurrent Neural Network. IEEE Trans. Medical Imaging 38 (4) (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)
Wenyu Li, Qinglin Dong, Hao Jia, Shijie Zhao, Yongchen Wang, Li Xie, Qiang Pan, Feng Duan, Tianming Liu
Training a Camera to Perform Long-Distance Eye Tracking by Another Eye-Tracker. IEEE Access 7 (2019)
Shu Zhang, Qinglin Dong, Wei Zhang, Heng Huang, Dajiang Zhu, Tianming Liu
Discovering hierarchical common brain networks via multimodal deep belief network. Medical Image Anal. 54 (2019)
Yu Zhao, Qinglin Dong, Shu Zhang, Wei Zhang, Hanbo Chen, Xi Jiang, Lei Guo, Xintao Hu, Junwei Han, Tianming Liu
Automatic Recognition of fMRI-Derived Functional Networks Using 3-D Convolutional Neural Networks. IEEE Trans. Biomed. Eng. 65 (9) (2018)
Heng Huang, Xintao Hu, Yu Zhao, Milad Makkie, Qinglin Dong, Shijie Zhao, Lei Guo, Tianming Liu
Modeling Task fMRI Data Via Deep Convolutional Autoencoder. IEEE Trans. Medical Imaging 37 (7) (2018)
Heng Huang, Xintao Hu, Qinglin Dong, Shijie Zhao, Shu Zhang, Yu Zhao, Lei Quo, Tianming Liu
Modeling task fMRI data via mixture of deep expert networks. ISBI (2018)
Jing Yuan, Xiang Li, Jinhe Zhang, Liao Luo, Qinglin Dong, Jinglei Lv, Yu Zhao, Xi Jiang, Shu Zhang, Wei Zhang, Tianming Liu
Spatio-temporal modeling of connectome-scale brain network interactions via time-evolving graphs. NeuroImage 180 (Part) (2018)
Yu Zhao, Qinglin Dong, Hanbo Chen, Armin Iraji, Yujie Li, Milad Makkie, Zhifeng Kou, Tianming Liu
Constructing fine-granularity functional brain network atlases via deep convolutional autoencoder. Medical Image Anal. 42 (2017)
Dehua Ren, Yu Zhao, Hanbo Chen, Qinglin Dong, Jinglei Lv, Tianming Liu
3-D functional brain network classification using Convolutional Neural Networks. ISBI (2017)
Liting Wang, Xintao Hu, Meng Wang, Jinglei Lv, Junwei Han, Shijie Zhao, Qinglin Dong, Lei Guo, Tianming Liu
Decoding dynamic auditory attention during naturalistic experience. ISBI (2017)
Heng Huang, Xintao Hu, Milad Makkie, Qinglin Dong, Yu Zhao, Junwei Han, Lei Guo, Tianming Liu
Modeling Task fMRI Data via Deep Convolutional Autoencoder. IPMI (2017)
Xiao Li, Tuo Zhang, Qinglin Dong, Shu Zhang, Xintao Hu, Lei Du, Lei Guo, Tianming Liu
Predicting cortical 3-hinge locations via structural connective features. ISBI (2017)
Sidi Liu, Jinglei Lv, Yimin Hou, Ting Shoemaker, Qinglin Dong, Kaiming Li, Tianming Liu
What Makes a Good Movie Trailer?: Interpretation from Simultaneous EEG and Eyetracker Recording. ACM Multimedia (2016)
Xiang Li, Qinglin Dong, Xi Jiang, Jinglei Lv, Tianming Liu
Multple-demand system identification and characterization via sparse representations of fMRI data. ISBI (2016)