Qinglin Dong

According to our database, Qinglin Dong authored at least 30 papers between 2016 and 2023.

Collaborative distances:

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

2023

Functional brain network identification and fMRI augmentation using a VAE-GAN framework.

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

Comput. Biol. Medicine, October, 2023

2022

A novel ADHD classification method based on resting state temporal templates (RSTT) using spatiotemporal attention auto-encoder.

Ning Qiang, Qinglin Dong, Hongtao Liang, Bao Ge, Shu Zhang, Cheng Zhang, Jie Gao, Yifei Sun

Neural Comput. Appl., 2022

Learning brain representation using recurrent Wasserstein generative adversarial net.

Ning Qiang, Qinglin Dong, Hongtao Liang, Jin Li, Shu Zhang, Cheng Zhang, Bao Ge, Yifei Sun, Jie Gao, Tianming Liu, Huiji Yue, Shijie Zhao

Comput. Methods Programs Biomed., 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

Spatiotemporal Attention Autoencoder (STAAE) for ADHD Classification.

Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Tianming Liu, Quanzheng Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Discovering Functional Brain Networks with 3D Residual Autoencoder (ResAE).

Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Tianming Liu, Quanzheng Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

A Novel fMRI Representation Learning Framework with GAN.

Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Liang Dong, Tianming Liu, Quanzheng Li

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Task fMRI Guided Fiber Clustering via a Deep Clustering Method.

Huan Wang, Qinglin Dong, Ning Qiang, Xin Zhang, Tianming Liu, Bao Ge

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

Deep Variational Autoencoder for Modeling Functional Brain Networks and ADHD Identification.

Ning Qiang, Qinglin Dong, Yifei Sun, Bao Ge, Tianming Liu

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

2019

Recognizing Brain States Using Deep Sparse Recurrent Neural Network.

Han Wang, Shijie Zhao, Qinglin Dong, Yan Cui, Yaowu Chen, Junwei Han, Li Xie, Tianming Liu

IEEE Trans. Medical Imaging, 2019

Discovering hierarchical common brain networks via multimodal deep belief network.

Shu Zhang, Qinglin Dong, Wei Zhang, Heng Huang, Dajiang Zhu, Tianming Liu

Medical Image Anal., 2019

Training a Camera to Perform Long-Distance Eye Tracking by Another Eye-Tracker.

Wenyu Li, Qinglin Dong, Hao Jia, Shijie Zhao, Yongchen Wang, Li Xie, Qiang Pan, Feng Duan, Tianming Liu

IEEE Access, 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

Identify Hierarchical Structures from Task-Based fMRI Data via Hybrid Spatiotemporal Neural Architecture Search Net.

Wei Zhang, Lin Zhao, Qing Li, Shijie Zhao, Qinglin Dong, Xi Jiang, Tuo Zhang, Tianming Liu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 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

Modeling Task fMRI Data Via Deep Convolutional Autoencoder.

Heng Huang, Xintao Hu, Yu Zhao, Milad Makkie, Qinglin Dong, Shijie Zhao, Lei Guo, Tianming Liu

IEEE Trans. Medical Imaging, 2018

Automatic Recognition of fMRI-Derived Functional Networks Using 3-D Convolutional Neural Networks.

Yu Zhao, Qinglin Dong, Shu Zhang, Wei Zhang, Hanbo Chen, Xi Jiang, Lei Guo, Xintao Hu, Junwei Han, Tianming Liu

IEEE Trans. Biomed. Eng., 2018

Spatio-temporal modeling of connectome-scale brain network interactions via time-evolving graphs.

Jing Yuan, Xiang Li, Jinhe Zhang, Liao Luo, Qinglin Dong, Jinglei Lv, Yu Zhao, Xi Jiang, Shu Zhang, Wei Zhang, Tianming Liu

NeuroImage, 2018

Modeling task fMRI data via mixture of deep expert networks.

Heng Huang, Xintao Hu, Qinglin Dong, Shijie Zhao, Shu Zhang, Yu Zhao, Lei Quo, Tianming Liu

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

2017

Constructing fine-granularity functional brain network atlases via deep convolutional autoencoder.

Yu Zhao, Qinglin Dong, Hanbo Chen, Armin Iraji, Yujie Li, Milad Makkie, Zhifeng Kou, Tianming Liu

Medical Image Anal., 2017

Decoding dynamic auditory attention during naturalistic experience.

Liting Wang, Xintao Hu, Meng Wang, Jinglei Lv, Junwei Han, Shijie Zhao, Qinglin Dong, Lei Guo, Tianming Liu

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

3-D functional brain network classification using Convolutional Neural Networks.

Dehua Ren, Yu Zhao, Hanbo Chen, Qinglin Dong, Jinglei Lv, Tianming Liu

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Predicting cortical 3-hinge locations via structural connective features.

Xiao Li, Tuo Zhang, Qinglin Dong, Shu Zhang, Xintao Hu, Lei Du, Lei Guo, Tianming Liu

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Modeling Task fMRI Data via Deep Convolutional Autoencoder.

Heng Huang, Xintao Hu, Milad Makkie, Qinglin Dong, Yu Zhao, Junwei Han, Lei Guo, Tianming Liu

Proceedings of the Information Processing in Medical Imaging, 2017

2016

What Makes a Good Movie Trailer?: Interpretation from Simultaneous EEG and Eyetracker Recording.

Sidi Liu, Jinglei Lv, Yimin Hou, Ting Shoemaker, Qinglin Dong, Kaiming Li, Tianming Liu

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Multple-demand system identification and characterization via sparse representations of fMRI data.

Xiang Li, Qinglin Dong, Xi Jiang, Jinglei Lv, Tianming Liu

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