Transformer's role in brain MRI: a sco** review

M Hayat, S Aramvith - IEEE Access, 2024 - ieeexplore.ieee.org
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 …

R-mixup: Riemannian mixup for biological networks

X Kan, Z Li, H Cui, Y Yu, R Xu, S Yu, Z Zhang… - Proceedings of the 29th …, 2023 - dl.acm.org
Biological networks are commonly used in biomedical and healthcare domains to effectively
model the structure of complex biological systems with interactions linking biological entities …

Ptgb: Pre-train graph neural networks for brain network analysis

Y Yang, H Cui, C Yang - arxiv preprint arxiv:2305.14376, 2023 - arxiv.org
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 …

[HTML][HTML] DSAM: A deep learning framework for analyzing temporal and spatial dynamics in brain networks

B Thapaliya, R Miller, J Chen, YP Wang, E Akbas… - Medical Image …, 2025 - Elsevier
Resting-state functional magnetic resonance imaging (rs-fMRI) is a noninvasive technique
pivotal for understanding human neural mechanisms of intricate cognitive processes. Most …

A Deep Biclustering Framework for Brain Network Analysis

MA Rahaman, Z Fu, A Iraji… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
Brain functional connectivity (FC) analysis has emerged as a compelling quest to
understand human brain dynamics and clarify disorder-related aberrations. Typically FC can …

Multi-Atlas Brain Network Classification through Consistency Distillation and Complementary Information Fusion

J Xu, M Lan, X Dong, K He, W Zhang, Q Bian… - arxiv preprint arxiv …, 2024 - arxiv.org
In the realm of neuroscience, identifying distinctive patterns associated with neurological
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 …

Contrasformer: A Brain Network Contrastive Transformer for Neurodegenerative Condition Identification

J Xu, K He, M Lan, Q Bian, W Li, T Li, Y Ke… - Proceedings of the 33rd …, 2024 - dl.acm.org
Understanding neurological disorder is a fundamental problem in neuroscience, which often
requires the analysis of brain networks derived from functional magnetic resonance imaging …

Graph Neural Networks for Brain Graph Learning: A Survey

X Luo, J Wu, J Yang, S Xue, A Beheshti… - arxiv preprint arxiv …, 2024 - arxiv.org
Exploring the complex structure of the human brain is crucial for understanding its
functionality and diagnosing brain disorders. Thanks to advancements in neuroimaging …

BrainGT: Multifunctional Brain Graph Transformer for Brain Disorder Diagnosis

A Shehzad, D Zhang, F **a, S Yu, S Abid, X Cheng… - medRxiv, 2024 - medrxiv.org
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 …