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Hongzhi Kuai

Showing results (1-10 of 5) with videos related to

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Frontiers in Neuroscience|July 10, 2023
BNLoop-GAN: a multi-loop generative adversarial model on brain network learning to classify Alzheimer's diseaseYu Cao, Hongzhi Kuai, Peipeng Liang, et al.
Brain Informatics|January 8, 2024
Addiction-related brain networks identification via Graph Diffusion Reconstruction NetworkChanghong Jing, Hongzhi Kuai, Hiroki Matsumoto, et al.
Frontiers in Neuroscience|August 15, 2022
Systematic Fusion of Multi-Source Cognitive Networks With Graph Learning - A Study on Fronto-Parietal NetworkXiaofei Zhang, Yang Yang, Hongzhi Kuai, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|April 11, 2024
Never-Ending Learning for Explainable Brain ComputingHongzhi Kuai, Jianhui Chen, Xiaohui Tao, et al.
Brain Informatics|May 16, 2026
Diffusion models for brain imaging computing: a survey of frameworks and applicationsYousuf Babiker M Osman, Aden Hassan Margani Elsanosi, Changhong Jing, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Frontiers in Neuroscience|July 10, 2023
BNLoop-GAN: a multi-loop generative adversarial model on brain network learning to classify Alzheimer's diseaseYu Cao, Hongzhi Kuai, Peipeng Liang, et al.
Brain Informatics|January 8, 2024
Addiction-related brain networks identification via Graph Diffusion Reconstruction NetworkChanghong Jing, Hongzhi Kuai, Hiroki Matsumoto, et al.
Frontiers in Neuroscience|August 15, 2022
Systematic Fusion of Multi-Source Cognitive Networks With Graph Learning - A Study on Fronto-Parietal NetworkXiaofei Zhang, Yang Yang, Hongzhi Kuai, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|April 11, 2024
Never-Ending Learning for Explainable Brain ComputingHongzhi Kuai, Jianhui Chen, Xiaohui Tao, et al.
Brain Informatics|May 16, 2026
Diffusion models for brain imaging computing: a survey of frameworks and applicationsYousuf Babiker M Osman, Aden Hassan Margani Elsanosi, Changhong Jing, et al.
Pageof 1