Precision Diagnosis of Autism Through Resting FMRI and Machine Learning-Reference-Cited by-同舟云学术

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Precision Diagnosis of Autism Through Resting FMRI and Machine Learning

Published:2024-05-27 Issue: Volume: Page:1-4
ISSN:
Container-title:2024 IEEE International Symposium on Biomedical Imaging (ISBI)
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Author:

Khudri Mohamed¹,Abdelrahim Mostafa¹,Ali Mohamed T.²,Elnakib Yaser A.²,Shalaby Ahmed³,Mahmoud Ali¹,Contractor Sohail⁴,Barnes Gregory N.⁵,El-Baz Ayman¹

Affiliation:

1. University of Louisville,Bioengineering Department,KY,USA

2. Clinical Informatics Center UTSW Medical Center,Dallas,TX,USA

3. UTSW Medical Center,Lyda Hill Department of Bioinformatics,Dallas,TX,USA

4. University of Louisville,Department of Radiology,Louisville,KY,USA

5. University of Louisville,Department of Neurology,Louisville,KY,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10635099/10635102/10635720.pdf?arnumber=10635720

Reference16 articles.

1. Outcome of comprehensive psycho-educational interventions for young children with autism

2. Developmental Trajectories in Children With and Without Autism Spectrum Disorders: The First 3 Years

3. Multisite functional connectivity MRI classification of autism: ABIDE results

4. Using resting state functional MRI to build a personalized autism diagnosis system

5. Functional connectivity magnetic resonance imaging classification of autism spectrum disorder using the multisite ABIDE dataset

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