Autism Spectrum Disorder Classification with Interpretability in Children Based on Structural MRI Features Extracted Using Contrastive Variational Autoencoder
Autism Spectrum Disorder (ASD) is a highly disabling mental disease that brings significant impairments of social interaction ability to the patients, making early screening and intervention of ASD critical. With the development of the machine learning and neuroimaging technology, extensive research...
Saved in:
Main Authors: | Ruimin Ma, Ruitao Xie, Yanlin Wang, Jintao Meng, Yanjie Wei, Yunpeng Cai, Wenhui Xi, Yi Pan |
---|---|
Format: | Article |
Language: | English |
Published: |
Tsinghua University Press
2024-09-01
|
Series: | Big Data Mining and Analytics |
Subjects: | |
Online Access: | https://www.sciopen.com/article/10.26599/BDMA.2024.9020004 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Autism spectrum disorder: definition, global epidemiology, prevalence in Poland and worldwide, and heredity
by: Martyna Zakrocka, et al.
Published: (2025-02-01) -
Improving Teachers Knowledge in Making Visual Support for Children with Autism Spectrum Disorders
by: Rifa Hidayah, et al.
Published: (2023-05-01) -
Teaching functional skills for individual with autism spectrum disorder (ASD): a systematic review
by: Zulma Indra Rahmi Putri, et al.
Published: (2023-06-01) -
Narrative Skills of Bilingual Children with Autism Spectrum Disorder
by: Huong Hoang, et al.
Published: (2018-12-01) -
Optimal dose of oxytocin to improve social impairments and repetitive behaviors in autism spectrum disorders: meta-analysis and dose–response meta-analysis of randomized controlled trials
by: Yingying Zhang, et al.
Published: (2025-01-01)