[HTML][HTML] A comprehensive survey of complex brain network representation
Recent years have shown great merits in utilizing neuroimaging data to understand brain
structural and functional changes, as well as its relationship to different neurodegenerative …
structural and functional changes, as well as its relationship to different neurodegenerative …
Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation
The MRI-derived brain network serves as a pivotal instrument in elucidating both the
structural and functional aspects of the brain, encompassing the ramifications of diseases …
structural and functional aspects of the brain, encompassing the ramifications of diseases …
Biomarker Investigation using Multiple Brain Measures from MRI through XAI in Alzheimer's Disease Classification
Alzheimer's Disease (AD) is the world leading cause of dementia, a progressively impairing
condition leading to high hospitalization rates and mortality. To optimize the diagnostic …
condition leading to high hospitalization rates and mortality. To optimize the diagnostic …
[HTML][HTML] Biomarker Investigation Using Multiple Brain Measures from MRI Through Explainable Artificial Intelligence in Alzheimer's Disease Classification
As the leading cause of dementia worldwide, Alzheimer's Disease (AD) has prompted
significant interest in developing Deep Learning (DL) approaches for its classification …
significant interest in developing Deep Learning (DL) approaches for its classification …
A Novel Multi-Atlas Fusion Model Based On Contrastive Learning For Functional Connectivity Graph Diagnosis
J Zhang, D Xu, Y Lou, Y Huang - ICASSP 2024-2024 IEEE …, 2024 - ieeexplore.ieee.org
Functional connectivity (FC) graph analysis is an important method for diagnosing brain
disorders using functional magnetic resonance imaging (fMRI). Existing FC graph diagnosis …
disorders using functional magnetic resonance imaging (fMRI). Existing FC graph diagnosis …