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Alzheimer's disease prediction via brain structural-functional deep fusing network
Q Zuo, Y Shen, N Zhong, CLP Chen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Fusing structural-functional images of the brain has shown great potential to analyze the
deterioration of Alzheimer's disease (AD). However, it is a big challenge to effectively fuse …
deterioration of Alzheimer's disease (AD). However, it is a big challenge to effectively fuse …
Brain functional network generation using distribution-regularized adversarial graph autoencoder with transformer for dementia diagnosis
The topological connectivity information derived from the brain functional network can bring
new insights for diagnosing and analyzing dementia disorders. The brain functional network …
new insights for diagnosing and analyzing dementia disorders. The brain functional network …
Fusing structural and functional connectivities using disentangled VAE for detecting MCI
Q Zuo, Y Zhu, L Lu, Z Yang, Y Li, N Zhang - International Conference on …, 2023 - Springer
Brain network analysis is a useful approach to studying human brain disorders because it
can distinguish patients from healthy people by detecting abnormal connections. Due to the …
can distinguish patients from healthy people by detecting abnormal connections. Due to the …
BrainNetDiff: Generative AI Empowers Brain Network Generation via Multimodal Diffusion Model
Y Zong, S Wang - arxiv preprint arxiv:2311.05199, 2023 - arxiv.org
Brain network analysis has emerged as pivotal method for gaining a deeper understanding
of brain functions and disease mechanisms. Despite the existence of various network …
of brain functions and disease mechanisms. Despite the existence of various network …
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CUD VAE, Q Zuo¹, Y Zhu, L Lu, Z Yang… - … Conference, BI 2023 …, 2023 - books.google.com
Brain network analysis is a useful approach to studying human brain disorders because it
can distinguish patients from healthy people by detecting abnormal connections. Due to the …
can distinguish patients from healthy people by detecting abnormal connections. Due to the …