Machine learning‐based radiomics in neurodegenerative and cerebrovascular disease
MG Shi, XM Feng, HY Zhi, L Hou, DF Feng - MedComm, 2024 - Wiley Online Library
Cognitive impairments, which can be caused by neurodegenerative and cerebrovascular
disease, represent a growing global health crisis with far‐reaching implications for …
disease, represent a growing global health crisis with far‐reaching implications for …
Exploring intricate connectivity patterns for cognitive functioning and neurological disorders: incorporating frequency-domain NC method into fMRI analysis
B Wang… - Cerebral …, 2024 - academic.oup.com
This study extends the application of the frequency-domain new causality method to
functional magnetic resonance imaging analysis. Strong causality, weak causality, balanced …
functional magnetic resonance imaging analysis. Strong causality, weak causality, balanced …
ViT transfer learning for fMRI (VTFF): A highway to achieve superior performance for multi-classification of cognitive decline
B Wang… - … Signal Processing and …, 2025 - Elsevier
Early detection of cognitive impairment is a pivotal interdisciplinary research area in
contemporary cognitive neuroscience. Researchers employ multimodal data, including brain …
contemporary cognitive neuroscience. Researchers employ multimodal data, including brain …
Brain-Inspired Fuzzy Graph Convolution Network for Alzheimer's Disease Diagnosis Based on Imaging Genetics Data
XA Bi, Y Huang, W Shen, Z Yang… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
The analysis of multi-omics biomedical data has become increasingly critical in clinical
decision-making for brain diseases like Alzheimer's Disease (AD). However, the inherent …
decision-making for brain diseases like Alzheimer's Disease (AD). However, the inherent …