Interpretable learning approaches in structural MRI: 3D-ResNet fused attention for autism spectrum disorder classification-Reference-Cited by-同舟云学术

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Interpretable learning approaches in structural MRI: 3D-ResNet fused attention for autism spectrum disorder classification

Published:2022-04-04 Issue: Volume: Page:
ISSN:
Container-title:Medical Imaging 2022: Computer-Aided Diagnosis
language:
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Author:

Chen Xiangjun,Wang Zhaohui,Zhan Yuefu,Cheikh Faouzi Alaya,Ullah Mohib

Publisher

SPIE

Reference25 articles.

1. A review on neural network models of schizophrenia and autism spectrum disorder

2. Practice parameters for the assessment and treatment of children, adolescents, and adults with autism and other pervasive developmental disorders

3. Early Identification of Autism Spectrum Disorder: Recommendations for Practice and Research

4. ASD-DiagNet: A Hybrid Learning Approach for Detection of Autism Spectrum Disorder Using fMRI Data

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1. The diagnosis of ASD with MRI: a systematic review and meta-analysis;Translational Psychiatry;2024-08-02

2. Multiple instance ensembling for paranasal anomaly classification in the maxillary sinus;International Journal of Computer Assisted Radiology and Surgery;2023-07-21

3. Deep learning-based video anonymization for security and privacy;2023 4th International Conference on Computing, Mathematics and Engineering Technologies (iCoMET);2023-03-17

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