Political Affiliation: Member of the Communist Party of China (CPC)

Academic Title: Young Researcher, Master’s Supervisor

Affiliated Institution: Institute of Computer Application Technology

Office Address: Room 411, Feiyun Building

Educational Background

2013.09-2017.06 Bachelor of Engineering in Computer Science and Technology, Sichuan Agricultural University

2017.09-2020.06 Master of Engineering in Computer Software and Theory, Lanzhou University

2020.09-2024.03 Doctor of Engineering in Electronic Science and Technology, Zhejiang University

Professional Experience

2024.05-Present Young Researcher, School of Information Science and Engineering, Lanzhou University

Research Interests

(1) AI-based Neuroimaging Denoising, Reconstruction and Segmentation;

(2) AI-based Imaging Medicine and Nuclear Medicine;

(3) Multi-scale Hybrid-modality Medical Imaging Complex Pathological Modeling.

Publications (Papers and Books)

Over 40 SCI/EI-indexed papers have been published. Selected representative achievements in the past three years are as follows:

1. Yu Fu, et al. “MPGAN: Multi Pareto Generative Adversarial Network for the reconstruction and quantitative analysis of low-dose PET images of human brain.” Medical Image Analysis, 2024. (IF=13.8, CAS Region 1, Top Journal in Artificial Intelligence and Medical Imaging)
2. Yu Fu, et al. “OTFPF: Optimal Transport Based Feature Pyramid Fusion Network for Brain Age Estimation.” Information Fusion, 2023. (IF=18.6, CAS Region 1, Top Journal in Artificial Intelligence)
3. Yu Fu, et al. “AIGAN: Attention-encoding Integrated Generative Adversarial Network for the reconstruction of low-dose CT and low-dose PET images.” Medical Image Analysis, 2023. (IF=13.8, CAS Region 1, Top Journal in Artificial Intelligence and Medical Imaging)
4. Xiang Zhou, Yu Fu, et al. “Intelligent Ultrafast Total-body PET for Sedation-free Pediatric 18F-FDG Imaging.” European Journal of Nuclear Medicine and Molecular Imaging, 2024. (Equal First Author, IF=10.1, CAS Region 1, Top Journal in Medical Imaging and Nuclear Medicine)
5. Le Xue, Yu Fu, et al. “Accurate Brain Age Prediction Based on Structural MRI and 18F-FDG PET Imaging.” European Journal of Nuclear Medicine and Molecular Imaging, 2024. (Equal First Author, IF=10.1, CAS Region 1, Top Journal in Medical Imaging and Nuclear Medicine)
6. Yu Fu, et al. “Altered nonlinear Granger causality interactions in the large-scale brain networks of patients with schizophrenia.” Journal of Neural Engineering, 2022. (IF=5.4, CAS Region 2)
7. Yu Fu, et al. “Sex-dependent nonlinear Granger connectivity patterns of brain aging in healthy population.” Progress in Neuro-Psychopharmacology and Biological Psychiatry, 2024. (IF=5.3, CAS Region 2)
8. Yu Fu, et al. “A novel pipeline leveraging surface-based features of small subcortical structures to classify individuals with autism spectrum disorder.” Progress in Neuro-Psychopharmacology and Biological Psychiatry, 2021. (IF=5.2, CAS Region 2)

Academic Services

Has been repeatedly invited to serve as a reviewer for journals published by Elsevier, including Medical Image Analysis, Information Fusion, Artificial Intelligence in Medicine, Computerized Medical Imaging and Graphics, Journal of Psychiatric Research, Progress in Neuropsychopharmacology & Biological Psychiatry, Brain Research and Psychiatry Research: Neuroimaging, and has obtained certified reviewer certificates from the respective journals. In addition, has been repeatedly invited to act as a reviewer for journals published by IOP Publishing, including Journal of Neural Engineering, Physiological Measurement and Biomedical Physics & Engineering Express, and received the Trusted Reviewer certificate issued by the Institute of Physics (IOP), UK. Also, he has been invited to serve as a reviewer for Journal of Alzheimer’s Disease, as well as a reviewer for UIST, a CCF Class A conference.

Email: fuyu@lzu.edu.cn