Yifei Sun

According to our database, Yifei Sun authored at least 11 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

A Data-Driven Method to Map the Functional Organisation of Human Brain White Matter.

Yifei Sun, James M. Shine, Robert D. Sanders, Robin F. H. Cash, Sharon L. Naismith, Fernando Calamante, Jinglei Lv

CoRR, February, 2026

2025

Voxel-Level Brain States Prediction Using Swin Transformer.

Yifei Sun, Daniel Chahine, Qinghao Wen, Tianming Liu, Xiang Li, Yixuan Yuan, Fernando Calamante, Jinglei Lv

IEEE J. Biomed. Health Informatics, December, 2025

Age Sensitive Hippocampal Functional Connectivity: New Insights from 3D CNNs and Saliency Mapping.

Yifei Sun, Marshall A. Dalton, Robert D. Sanders, Yixuan Yuan, Xiang Li, Sharon L. Naismith, Fernando Calamante, Jinglei Lv

CoRR, July, 2025

2024

Predicting Human Brain States with Transformer.

Yifei Sun, Mariano Cabezas, Jiah Lee, Chenyu Wang, Wei Zhang, Fernando Calamante, Jinglei Lv

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 Workshops, 2024

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 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

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

2018

A Dictionary Learning Approach for Signal Sampling in Task-Based fMRI for Reduction of Big Data.

Bao Ge, Xiang Li, Xi Jiang, Yifei Sun, Tianming Liu

Frontiers Neuroinformatics, 2018