Quantifying the impact of Pyramid Squeeze Attention mechanism and filtering approaches on Alzheimer's disease classification-Reference-Cited by-同舟云学术

Quantifying the impact of Pyramid Squeeze Attention mechanism and filtering approaches on Alzheimer's disease classification

Published:2022-09 Issue: Volume:148 Page:105944
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Yan Bin,Li Yang^ORCID,Li Lin,Yang Xiaocheng,Li Tie-qiang^ORCID,Yang Guang^ORCID,Jiang Mingfeng^ORCID

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference60 articles.

1. A novel grading biomarker for the prediction of conversion from mild cognitive impairment to Alzheimer's disease;Tong;IEEE (Inst. Electr. Electron. Eng.) Trans. Biomed. Eng.,2017

2. Healthcare satisfaction among the older adults with Alzheimer's disease or dementia;Liew;SN Social Sciences,2021

3. 3D transfer learning network for classification of Alzheimer's disease with MRI;Wu;Int. J. Mach. Learning Cybernetics,2022

4. 3D shearlet-based descriptors combined with deep features for the classification of Alzheimer's disease based on MRI data;Alinsaif;Comput. Biol. Med.,2021

5. Adaptive MRI image denoising using total-variation and local noise estimation;Varghees,2012

Cited by 33 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. Metaheuristic optimized time–frequency features for enhancing Alzheimer’s disease identification;Biomedical Signal Processing and Control;2024-08

2. PSAEEGNet: pyramid squeeze attention mechanism-based CNN for single-trial EEG classification in RSVP task;Frontiers in Human Neuroscience;2024-05-02

3. A hybrid multimodal machine learning model for Detecting Alzheimer's disease;Computers in Biology and Medicine;2024-03

4. Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review;Machine Learning and Knowledge Extraction;2024-02-21

5. Early detection of dementia using artificial intelligence and multimodal features with a focus on neuroimaging: A systematic literature review;Health and Technology;2024-02-10