DAW-FA: Domain-aware adaptive weighting with fine-grain attention for unsupervised MRI harmonization-Reference-Cited by-同舟云学术

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DAW-FA: Domain-aware adaptive weighting with fine-grain attention for unsupervised MRI harmonization

Published:2024-09 Issue:7 Volume:36 Page:102157
ISSN:1319-1578
Container-title:Journal of King Saud University - Computer and Information Sciences
language:en
Short-container-title:Journal of King Saud University - Computer and Information Sciences

Author:

Fiasam Linda Delali,Rao Yunbo,Sey Collins,Aggrey Stacy E.B.,Kodjiku Seth Larweh,Obour Agyekum Kwame Opuni-Boachie,Razafindratovolahy Annicet,Adjei-Mensah Isaac,Ukwuoma Chiagoziem Chima,Sam Francis

Funder

Sichuan Association for Science and Technology

University of Electronic Science and Technology of China

Shaanxi Provincial Land Engineering Construction Group

Chengdu Municipal Science and Technology Program

Publisher

Elsevier BV

Reference51 articles.

1. Harmonization of multi-site MRS data with ComBat;Bell;Neuroimage,2022

2. Representation learning: A review and new perspectives;Bengio;IEEE Trans Pattern Anal Mach Intell,2013

3. Intra- and interscanner variability of magnetic resonance imaging based volumetry in multiple sclerosis;Biberacher;Neuroimage,2016

4. Medical inter-modality volume-to-volume translation;Chen;J. King Saud Univers. Comput. Inform. Sci.,2023

5. Reducing variations in multi-center Alzheimer’s disease classification with convolutional adversarial autoencoder;Cobbinah;Med Image Anal,2022

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