Efficient diagnosis of autism spectrum disorder using optimized machine learning models based on structural MRI
Autism spectrum disorder (ASD) affects approximately 1.4% of the population and imposes
significant social and economic burdens. Because its etiology is unknown, effective …
significant social and economic burdens. Because its etiology is unknown, effective …
Advancing Thalamic Nuclei Segmentation: The Impact of Compressed Sensing on MRI Processing
The thalamus is a collection of gray matter nuclei that play a crucial role in sensorimotor
processing and modulation of cortical activity. Characterizing thalamic nuclei non‐invasively …
processing and modulation of cortical activity. Characterizing thalamic nuclei non‐invasively …
MPRAGElike: A novel approach to generate T1w images from multi‐contrast gradient echo images for brain segmentation
Purpose Brain segmentation and multi‐parameter map** (MPM) are important steps in
neurodegenerative disease characterization. However, acquiring both a high‐resolution …
neurodegenerative disease characterization. However, acquiring both a high‐resolution …
[PDF][PDF] Choroid Plexus Volume, Amyloid Burden, and Cognition in the Alzheimer's Disease Continuum
As a part of the glymphatic system, the choroid plexus (CP) is involved in the clearance of
harmful metabolites from the brain. We investigated the association between CP volume …
harmful metabolites from the brain. We investigated the association between CP volume …
Deep interpretability methods for neuroimaging
MM Rahman - 2022 - scholarworks.gsu.edu
Brain dynamics are highly complex and yet hold the key to understanding brain function and
dysfunction. The dynamics captured by resting-state functional magnetic resonance imaging …
dysfunction. The dynamics captured by resting-state functional magnetic resonance imaging …
Advancing Thalamic Nuclei Segmentation: The Impact of Compressed Sensing and FastSurfer on MRI Processing
The thalamus is a collection of gray matter nuclei that play a crucial role in sensorimotor
processing and modulation of cortical activity. Characterizing thalamic nuclei is particularly …
processing and modulation of cortical activity. Characterizing thalamic nuclei is particularly …
Impacto de la IA en la Predicción y Detección Oportuna de Enfermedades: Una Revisión Sistemática
CAZ Lugo, AMI Rivarola, APA Ferreira - Latin American Journal of …, 2024 - lajae.uabc.mx
Resumen La Inteligencia Artificial (IA) ha surgido como una herramienta transformadora en
el entorno de la salud. Esta revisión tiene como objetivo evaluar los efectos de las …
el entorno de la salud. Esta revisión tiene como objetivo evaluar los efectos de las …
[PDF][PDF] Neuroanatomical-Based Machine Learning Prediction of Alzheimer's Disease Across Sex and Age
BK Jogeshwar - 2024 - digital.wpi.edu
Alzheimer's Disease (AD) is a progressive neurodegenerative disorder characterized by
cognitive decline and memory loss. In 2024, in the US alone, it affects approximately 1 in 9 …
cognitive decline and memory loss. In 2024, in the US alone, it affects approximately 1 in 9 …
Using Unsupervised Learning Methods to Analyse Magnetic Resonance Imaging (MRI) Scans for the Detection of Alzheimer's Disease
Y Liu - 2023 - etheses.whiterose.ac.uk
Background: Alzheimer's disease (AD) is the most common cause of dementia,
characterised by behavioural and cognitive impairment. The manual diagnosis of AD by …
characterised by behavioural and cognitive impairment. The manual diagnosis of AD by …