Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification-Reference-Cited by-同舟云学术

Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification

Published:2021-07 Issue: Volume:71 Page:102076
ISSN:1361-8415
Container-title:Medical Image Analysis
language:en
Short-container-title:Medical Image Analysis

Author:

Guan Hao^ORCID,Liu Yunbi,Yang Erkun^ORCID,Yap Pew-Thian^ORCID,Shen Dinggang,Liu Mingxia

Funder

National Institutes of Health

Alzheimer's Disease Neuroimaging Initiative

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference64 articles.

1. Unsupervised domain adaptation to classify medical images using zero-bias convolutional auto-encoders and context-based feature augmentation;Ahn;IEEE Trans. Med. Imaging,2020

2. Alzheimer’s disease facts and figures;Alzheimer’s Association;Alzheimer’s Dementia,2019

3. Forecasting the global burden of Alzheimer’s disease;Brookmeyer;Alzheimer’s Dementia,2007

4. Domain transfer learning for MCI conversion prediction;Cheng;IEEE Trans. Biomed. Eng.,2015

5. Local MRI analysis approach in the diagnosis of early and prodromal Alzheimer’s disease;Chincarini;NeuroImage,2011

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