Utilizing Siamese 4D-AlzNet and Transfer Learning to Identify Stages of Alzheimer’s Disease-Reference-Cited by-同舟云学术

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Utilizing Siamese 4D-AlzNet and Transfer Learning to Identify Stages of Alzheimer’s Disease

Published:2024-05 Issue: Volume:545 Page:69-85
ISSN:0306-4522
Container-title:Neuroscience
language:en
Short-container-title:Neuroscience

Author:

Mehmood Atif,Shahid Farah,Khan Rizwan,Ibrahim Mostafa M.,Zheng Zhonglong

Funder

Zhejiang Normal University

National Natural Science Foundation of China

Zhejiang Province Natural Science Foundation

Publisher

Elsevier BV

Reference47 articles.

1. Ensembles of patch-based classifiers for diagnosis of alzheimer diseases;Ahmed;IEEE Access,2019

2. Deep learning reveals Alzheimer’s disease onset in MCI subjects: results from an international challenge;Amoroso;J Neurosci Methods,2018

3. Automated classification of Alzheimer’s disease and mild cognitive impairment using a single MRI and deep neural networks;Basaia;NeuroImage: Clin,2019

4. Machine learning for the classification of Alzheimer’s disease and its prodromal stage using brain diffusion tensor imaging data: a systematic review;Billeci;Processes,2020

5. Convolution neural networks and self-attention learners for Alzheimer dementia diagnosis from brain MRI;Carcagnì;Sensors,2023

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. 3-Way hybrid analysis using clinical and magnetic resonance imaging for early diagnosis of Alzheimer’s disease;Brain Research;2024-10

2. Progress and trends in neurological disorders research based on deep learning;Computerized Medical Imaging and Graphics;2024-09

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