Functional connectivity magnetic resonance imaging classification of autism spectrum disorder using the multisite ABIDE dataset-Reference-Cited by-同舟云学术

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

Published:2019-05 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)
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Author:

Yang Xin,Islam Mohammad Samiul,Khaled A M Arefin

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8819609/8834448/08834653.pdf?arnumber=8834653

Cited by 33 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advancements in automated diagnosis of autism spectrum disorder through deep learning and resting-state functional mri biomarkers: a systematic review;Cognitive Neurodynamics;2024-09-13

2. Exploring Autism Spectrum Disorder: A Comparative Study of Traditional Classifiers and Deep Learning Classifiers to Analyze Functional Connectivity Measures from a Multicenter Dataset;Applied Sciences;2024-08-29

3. Precision Diagnosis of Autism Through Resting FMRI and Machine Learning;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27

4. Classification of Autism Spectrum Disorder from rs-fMRI Scans by Feature Reduction and Ensemble Machine Learning Classifier;2024 3rd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE);2024-04-25

5. Artificial gannet optimization enabled deep convolutional neural network for autism spectrum disorders classification using MRI image;Multimedia Tools and Applications;2024-04-22

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