Transformer's role in brain MRI: a sco** review
Magnetic Resonance Imaging (MRI) is a critical imaging technique that provides detailed
visualization of internal structures without harmful radiation. This review focuses on key MRI …
visualization of internal structures without harmful radiation. This review focuses on key MRI …
R-mixup: Riemannian mixup for biological networks
Biological networks are commonly used in biomedical and healthcare domains to effectively
model the structure of complex biological systems with interactions linking biological entities …
model the structure of complex biological systems with interactions linking biological entities …
Ptgb: Pre-train graph neural networks for brain network analysis
The human brain is the central hub of the neurobiological system, controlling behavior and
cognition in complex ways. Recent advances in neuroscience and neuroimaging analysis …
cognition in complex ways. Recent advances in neuroscience and neuroimaging analysis …
[HTML][HTML] DSAM: A deep learning framework for analyzing temporal and spatial dynamics in brain networks
Resting-state functional magnetic resonance imaging (rs-fMRI) is a noninvasive technique
pivotal for understanding human neural mechanisms of intricate cognitive processes. Most …
pivotal for understanding human neural mechanisms of intricate cognitive processes. Most …
A Deep Biclustering Framework for Brain Network Analysis
Brain functional connectivity (FC) analysis has emerged as a compelling quest to
understand human brain dynamics and clarify disorder-related aberrations. Typically FC can …
understand human brain dynamics and clarify disorder-related aberrations. Typically FC can …
Multi-Atlas Brain Network Classification through Consistency Distillation and Complementary Information Fusion
In the realm of neuroscience, identifying distinctive patterns associated with neurological
disorders via brain networks is crucial. Resting-state functional magnetic resonance imaging …
disorders via brain networks is crucial. Resting-state functional magnetic resonance imaging …
Integrating Swin Transformer with Fuzzy Gray Wolve Optimization for MRI Brain Tumor Classification.
LF Katran, EN AlShemmary… - International Journal of …, 2024 - search.ebscohost.com
The diagnosis is influenced by the classification of brain MRIs. Classifying and analyzing
structures within images can be significantly enhanced by employing the Swin Transformer …
structures within images can be significantly enhanced by employing the Swin Transformer …
Contrasformer: A Brain Network Contrastive Transformer for Neurodegenerative Condition Identification
Understanding neurological disorder is a fundamental problem in neuroscience, which often
requires the analysis of brain networks derived from functional magnetic resonance imaging …
requires the analysis of brain networks derived from functional magnetic resonance imaging …
Graph Neural Networks for Brain Graph Learning: A Survey
Exploring the complex structure of the human brain is crucial for understanding its
functionality and diagnosing brain disorders. Thanks to advancements in neuroimaging …
functionality and diagnosing brain disorders. Thanks to advancements in neuroimaging …
BrainGT: Multifunctional Brain Graph Transformer for Brain Disorder Diagnosis
Brain networks play a crucial role in the diagnosis of brain disorders by enabling the
identification of abnormal patterns and connections in brain activities. Previous studies …
identification of abnormal patterns and connections in brain activities. Previous studies …