rs-fMRI and machine learning for ASD diagnosis: A systematic review and meta-analysis
Abstract Autism Spectrum Disorder (ASD) diagnosis is still based on behavioral criteria
through a lengthy and time-consuming process. Much effort is being made to identify brain …
through a lengthy and time-consuming process. Much effort is being made to identify brain …
[HTML][HTML] A study of brain networks for autism spectrum disorder classification using resting-state functional connectivity
This paper presents a comprehensive and practical review of autism spectrum disorder
(ASD) classification using several traditional machine learning and deep learning methods …
(ASD) classification using several traditional machine learning and deep learning methods …
Effects of micro-sized and nano-sized WO3 on mass attenauation coefficients of concrete by using MCNPX code
In the present work the effect of tungsten oxide (WO 3) nanoparticles on mass attenauation
coefficients of concrete has been investigated by using MCNPX (version 2.4. 0). The …
coefficients of concrete has been investigated by using MCNPX (version 2.4. 0). The …
Identifying differences in brain activities and an accurate detection of autism spectrum disorder using resting state functional-magnetic resonance imaging: A spatial …
V Subbaraju, MB Suresh, S Sundaram… - Medical image …, 2017 - Elsevier
This paper presents a new approach for detecting major differences in brain activities
between Autism Spectrum Disorder (ASD) patients and neurotypical subjects using the …
between Autism Spectrum Disorder (ASD) patients and neurotypical subjects using the …
[HTML][HTML] Autism spectrum disorder studies using fMRI data and machine learning: a review
M Liu, B Li, D Hu - Frontiers in Neuroscience, 2021 - frontiersin.org
Machine learning methods have been frequently applied in the field of cognitive
neuroscience in the last decade. A great deal of attention has been attracted to introduce …
neuroscience in the last decade. A great deal of attention has been attracted to introduce …
YENİ MEDYA ESKİ MEDYAYA KARŞI: SAVAŞI KİM KAZANDI YA DA KİM KAZANACAK?
B Bulunmaz - Karadeniz Teknik Üniversitesi İletişim Araştırmaları …, 2014 - dergipark.org.tr
Teknolojinin tetiklediği yeni dünya düzeni, eski uygulamaları ve alışkanlıkları tamamen
değiştirmektedir. İnternetin yarattığı ve temel altyapısını oluşturduğu yeni medya ve internet …
değiştirmektedir. İnternetin yarattığı ve temel altyapısını oluşturduğu yeni medya ve internet …
Machine learning and rs-fMRI to identify potential brain regions associated with autism severity
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized primarily
by social impairments that manifest in different severity levels. In recent years, many studies …
by social impairments that manifest in different severity levels. In recent years, many studies …
Deep manifold harmonic network with dual attention for brain disorder classification
Numerous studies have shown that accurate analysis of neurological disorders contributes
to the early diagnosis of brain disorders and provides a window to diagnose psychiatric …
to the early diagnosis of brain disorders and provides a window to diagnose psychiatric …
Learning common harmonic waves on Stiefel manifold–A new mathematical approach for brain network analyses
Converging evidence shows that disease-relevant brain alterations do not appear in random
brain locations, instead, their spatial patterns follow large-scale brain networks. In this …
brain locations, instead, their spatial patterns follow large-scale brain networks. In this …
Case-control discrimination through effective brain connectivity
Functional and structural connectivity convey different information about the brain. The
integration of these different approaches is receiving growing attention from the research …
integration of these different approaches is receiving growing attention from the research …