Interpretable Deep Learning for Neuroimaging-Based Diagnostic Classification

Author:

Deshpande Gopikrishna1ORCID,Masood Janzaib1ORCID,Huynh Nguyen1ORCID,Denney Thomas S.1ORCID,Dretsch Michael N.2

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)

Reference81 articles.

1. Interpretable deep learning for diagnosis of human brain disorders using neuroimaging;Masood,2020

2. On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation

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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