Advancing early diagnosis of Alzheimer’s disease with next-generation deep learning methods-Reference-Cited by-同舟云学术

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Advancing early diagnosis of Alzheimer’s disease with next-generation deep learning methods

Published:2024-10 Issue: Volume:96 Page:106614
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Ozdemir Cuneyt^ORCID,Dogan Yahya^ORCID

Publisher

Elsevier BV

Reference58 articles.

1. AlzheimerNet: An effective deep learning based proposition for Alzheimer’s disease stages classification from functional brain changes in magnetic resonance images;Shamrat;IEEE Access,2023

2. AHANet: Adaptive hybrid attention network for Alzheimer’s disease classification using brain magnetic resonance imaging;Illakiya;Bioengineering,2023

3. The top 10 causes of death,2020

4. Automatic detection of Alzheimer’s disease using deep learning models and neuro-imaging: current trends and future perspectives;Illakiya;Neuroinformatics,2023

5. An English translation of Alzheimer’s 1907 paper,“ Uber eine eigenartige Erkankung der Hirnrinde”;Alzheimer;Clin. Anat. (New York, NY),1995

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