Autism Spectrum Disorder Classification with Interpretability in Children Based on Structural MRI Features Extracted Using Contrastive Variational Autoencoder-Reference-Cited by-同舟云学术

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Autism Spectrum Disorder Classification with Interpretability in Children Based on Structural MRI Features Extracted Using Contrastive Variational Autoencoder

Published:2024-09 Issue:3 Volume:7 Page:781-793
ISSN:2096-0654
Container-title:Big Data Mining and Analytics
language:
Short-container-title:Big Data Min. Anal.

Author:

Ma Ruimin¹,Xie Ruitao¹,Wang Yanlin¹,Meng Jintao¹,Wei Yanjie¹,Cai Yunpeng¹,Xi Wenhui¹,Pan Yi²

Affiliation:

1. Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences,Shenzhen,China,518055

2. Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences,Shenzhen Key Laboratory of Intelligent Bioinformatics, and with Center for High Performance Computing,Shenzhen,China,518055

Funder

National Natural Science Foundation of China

Youth Innovation Promotion Association

Publisher

Tsinghua University Press

Link

http://xplorestaging.ieee.org/ielx8/8254253/10654612/10654685.pdf?arnumber=10654685

Reference47 articles.

1. Autism spectrum disorder

2. A new machine learning model based on induction of rules for autism detection

3. Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review

4. The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism

5. Enhancing studies of the connectome in autism using the autism brain imaging data exchange II

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