Braingb: a benchmark for brain network analysis with graph neural networks
Mapping the connectome of the human brain using structural or functional connectivity has
become one of the most pervasive paradigms for neuroimaging analysis. Recently, Graph …
become one of the most pervasive paradigms for neuroimaging analysis. Recently, Graph …
From calcium imaging to graph topology
Abstract Systems neuroscience is facing an ever-growing mountain of data. Recent
advances in protein engineering and microscopy have together led to a paradigm shift in …
advances in protein engineering and microscopy have together led to a paradigm shift in …
A Comprehensive Survey of Foundation Models in Medicine
Foundation models (FMs) are large-scale deep-learning models trained on extensive
datasets using self-supervised techniques. These models serve as a base for various …
datasets using self-supervised techniques. These models serve as a base for various …
Early childhood malnutrition impairs adult resting brain function using near-infrared spectroscopy
K Roger, P Vannasing, J Tremblay… - Frontiers in Human …, 2024 - frontiersin.org
Introduction Early childhood malnutrition affects 200+ million children under 5 years of age
worldwide and is associated with persistent cognitive, behavioral and psychiatric …
worldwide and is associated with persistent cognitive, behavioral and psychiatric …
Synergistic integration of Multi-View Brain Networks and advanced machine learning techniques for auditory disorders diagnostics
In the field of audiology, achieving accurate discrimination of auditory impairments remains
a formidable challenge. Conditions such as deafness and tinnitus exert a substantial impact …
a formidable challenge. Conditions such as deafness and tinnitus exert a substantial impact …
Novel machine learning approaches for improving the reproducibility and reliability of functional and effective connectivity from functional MRI
CJ Mellema, AA Montillo - Journal of neural engineering, 2023 - iopscience.iop.org
Objective. New measures of human brain connectivity are needed to address gaps in the
existing measures and facilitate the study of brain function, cognitive capacity, and identify …
existing measures and facilitate the study of brain function, cognitive capacity, and identify …
AI-Assisted Healthcare with Multimodal Structured Knowledge Extraction and Augmented Inference
H Cui - 2024 - search.proquest.com
The rapid advancement of artificial intelligence (AI) has unlocked new opportunities for
enhancing healthcare. However, the heterogeneity and complexity of healthcare data …
enhancing healthcare. However, the heterogeneity and complexity of healthcare data …
Controllability, Reachability, and Inference for Complex Dynamic Systems
S Hadizadeh Kafash - 2022 - utd-ir.tdl.org
The focus of this dissertation is on developing a data-driven framework to infer
interconnections in networks of dynamic agents, development of theoretical foundations for …
interconnections in networks of dynamic agents, development of theoretical foundations for …
[PDF][PDF] TUTORIAL: BRAIN CONNECTOME ANALYSIS WITH GRAPH NEURAL NETWORKS
Mapping the connectome of human brains using structural or functional connectivity has
become one of the most pervasive paradigms for neuroimaging analysis. Recently, Graph …
become one of the most pervasive paradigms for neuroimaging analysis. Recently, Graph …
[PDF][PDF] Tutorial: Brain Network Analysis with Graph Neural Networks
Mapping the connectome of the human brain using structural or functional connectivity has
become one of the most pervasive paradigms for neuroimaging analysis. Recently, Graph …
become one of the most pervasive paradigms for neuroimaging analysis. Recently, Graph …