Multi-task joint learning network based on adaptive patch pruning for Alzheimer’s disease diagnosis and clinical score prediction-Reference-Cited by-同舟云学术

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Multi-task joint learning network based on adaptive patch pruning for Alzheimer’s disease diagnosis and clinical score prediction

Published:2024-09 Issue: Volume:95 Page:106398
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Liu Fangyu^ORCID,Yuan Shizhong^ORCID,Li Weimin^ORCID,Xu Qun,Wu Xing,Han Ke,Wang Jingchao,Miao Shang

Funder

Alzheimer's Disease Neuroimaging Initiative

National Key Research and Development Program of China

Publisher

Elsevier BV

Reference63 articles.

1. Dementia prevention, intervention, and care: 2020 report of the lancet commission;Livingston;Lancet,2020

2. NIA-AA research framework: toward a biological definition of alzheimer’s disease;Jack;Alzheimer’s Dementia,2018

3. Locally linear embedding (LLE) for MRI based alzheimer’s disease classification;Liu;Neuroimage,2013

4. Relationship induced multi-template learning for diagnosis of alzheimer’s disease and mild cognitive impairment;Liu;IEEE Trans. Med. Imaging,2016

5. Hierarchical fully convolutional network for joint atrophy localization and alzheimer’s disease diagnosis using structural MRI;Lian;IEEE Trans. Pattern Anal. Mach. Intell.,2018

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