A minimalistic approach to classifying Alzheimer’s disease using simple and extremely small convolutional neural networks-Reference-Cited by-同舟云学术

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A minimalistic approach to classifying Alzheimer’s disease using simple and extremely small convolutional neural networks

Published:2024-11 Issue: Volume:411 Page:110253
ISSN:0165-0270
Container-title:Journal of Neuroscience Methods
language:en
Short-container-title:Journal of Neuroscience Methods

Author:

Grødem Edvard O.S.^ORCID,Leonardsen Esten,MacIntosh Bradley J.,Bjørnerud Atle,Schellhorn Till,Sørensen Øystein,Amlien Inge,Fjell Anders M.

Funder

South-Eastern Norway Regional Health Authority

Publisher

Elsevier BV

Reference47 articles.

1. Classification of Alzheimer disease on imaging modalities with deep CNNs using cross-modal transfer learning;Aderghal,2018

2. SPM8 manual;Ashburner;Funct. Imaging Lab. Inst. Neurol.,2012

3. 2022 Alzheimer’s disease facts and figures;Association;Alzheimer’s & Dementia,2022

4. Recent advances on drug development and emerging therapeutic agents for Alzheimer’s disease;Athar;Mol. Biol. Rep.,2021

5. An efficient 3D deep convolutional network for Alzheimer’s disease diagnosis using MR images;Bäckström,2018

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