Kun Zhao

Orcid: 0000-0002-5196-100X

Affiliations:
  • Chinese Academy of Sciences, Institute of Automation, Brainnetome Center & National Laboratory of Pattern Recognition, Beijing, China
  • Shandong Normal University, School of Information Science and Engineering, Jinan, China


According to our database1, Kun Zhao authored at least 11 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2025
Disentangled Representation Learning for Capturing Individualized Brain Atrophy via Pseudo-Healthy Synthesis.
IEEE J. Biomed. Health Informatics, July, 2025

2024
Anat-SFSeg: Anatomically-guided superficial fiber segmentation with point-cloud deep learning.
Medical Image Anal., 2024

Macroscale Brain Structural Network Coupling is Related to AD Progression.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
AMNet: Adaptive multi-level network for deformable registration of 3D brain MR images.
Medical Image Anal., April, 2023

2022
A Hybrid Deep Learning Method for Early and Late Mild Cognitive Impairment Diagnosis With Incomplete Multimodal Data.
Frontiers Neuroinformatics, 2022

Impaired time-distance reconfiguration patterns in Alzheimer's disease: a dynamic functional connectivity study with 809 individuals from 7 sites.
BMC Bioinform., 2022

2020
Predicting Alzheimer's Disease Based on Network Topological Latent Representations.
J. Medical Imaging Health Informatics, 2020

2019
Dynamic Group Recommendation Based on the Attention Mechanism.
Future Internet, 2019

Stability of MRI Radiomics Features of Hippocampus: An Integrated Analysis of Test-Retest and Inter-Observer Variability.
IEEE Access, 2019

Attention-based 3D Convolutional Network for Alzheimer's Disease Diagnosis and Biomarkers Exploration.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2017
Early classification of Alzheimer's disease using hippocampal texture from structural MRI.
Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017


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