Improving fMRI-based Autism Spectrum Disorder Classification with Random Walks-informed Feature Extraction and Selection-Reference-Cited by-同舟云学术

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Improving fMRI-based Autism Spectrum Disorder Classification with Random Walks-informed Feature Extraction and Selection

Published:2023-09-22 Issue: Volume:12 Page:41-47
ISSN:
Container-title:Proceedings of the 2023 10th International Conference on Bioinformatics Research and Applications
language:
Short-container-title:

Author:

Sotero Roberto Carlos¹^ORCID,Sanchez-Bornot Jose Miguel²^ORCID,Iturria-Medina Yasser³^ORCID

Affiliation:

1. University of Calgary, Canada

2. Ulster University, United Kingdom

3. McGill University, Canada

Funder

Alberta Innovates

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3632047.3632054

Reference40 articles.

1. Functional connectivity in the motor cortex of resting human brain using echo-planar mri

2. Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging

3. Cross-Frequency Interactions During Information Flow in Complex Brain Networks Are Facilitated by Scale-Free Properties

4. A whole brain fMRI atlas generated via spatially constrained spectral clustering

5. Functional Network Organization of the Human Brain

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