Interpretable Deep Learning for Neuroimaging-Based Diagnostic Classification
Author:
Affiliation:
1. Auburn University Neuroimaging Center, Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA
2. Walter Reed Army Institute of Research-West, Joint Base Lewis-McChord, WA, USA
Funder
U.S. Army Medical Research and Development Command
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
https://ieeexplore.ieee.org/ielam/6287639/10380310/10499826-aam.pdf
Reference81 articles.
1. Interpretable deep learning for diagnosis of human brain disorders using neuroimaging;Masood,2020
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3. Identification of autism spectrum disorder using deep learning and the ABIDE dataset
4. Predicting Alzheimer’s disease: A neuroimaging study with 3D convolutional neural networks;Payan;arXiv:1502.02506,2015
5. Convolutional Neural Networks-Based MRI Image Analysis for the Alzheimer’s Disease Prediction From Mild Cognitive Impairment
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