Data-driven learning strategies for biomarker detection and outcome prediction in Autism from task-based fMRI-Reference-Cited by-同舟云学术

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Data-driven learning strategies for biomarker detection and outcome prediction in Autism from task-based fMRI

Published:2024 Issue: Volume: Page:357-393
ISSN:
Container-title:Deep Learning for Medical Image Analysis
language:en
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Author:

Duncan James,Staib Lawrence H.,Dvornek Nicha,Li Xiaoxiao,Zhuang Juntang,Wang Jiyao,Ventola Pamela

Publisher

Elsevier

Reference67 articles.

1. Deriving reproducible biomarkers from multi-site resting-state data: an autism-based example;Abraham;NeuroImage,2017

2. Deep learning identifies morphological determinants of sex differences in the pre-adolescent brain;Adeli;NeuroImage,2020

3. Disruption of cortical association networks in schizophrenia and psychotic bipolar disorder;Baker;JAMA Psychiatry,2014

4. A multiple shooting algorithm for direct solution of optimal control problems;Bock,1984

5. The chronnectome: time-varying connectivity networks as the next frontier in fMRI data discovery;Calhoun;Neuron,2014

Cited by 2 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. Explainable Federated Learning for Enhanced Privacy in Autism Prediction Using Deep Learning;Journal of Disability Research;2024

2. Multi-View United Transformer Block of Graph Attention Network Based Autism Spectrum Disorder Recognition;2024

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