Transfer learning from synthetic to routine clinical data for motion artefact detection in brain T1-weighted MRI-Reference-Cited by-同舟云学术

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Transfer learning from synthetic to routine clinical data for motion artefact detection in brain T1-weighted MRI

Published:2023-04-03 Issue: Volume: Page:
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Container-title:Medical Imaging 2023: Image Processing
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Author:

Loizillon Sophie,Bottani Simona,Maire Aurélien,Ströer Sebastian,Dormont Didier,Colliot Olivier,Burgos Ninon

Publisher

SPIE

Cited by 5 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. Methods of Increasing Training Data for a 3D Neural Network for Alzheimer’s Disease Diagnosis;2024 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF);2024-06-03

2. Recent advances in the open-source ClinicaDL software for reproducible neuroimaging with deep learning;Medical Imaging 2024: Image Processing;2024-04-02

3. Leveraging noise and contrast simulation for the automatic quality control of routine clinical T1-weighted brain MRI;Medical Imaging 2024: Image Processing;2024-04-02

4. Automatic motion artefact detection in brain T1-weighted magnetic resonance images from a clinical data warehouse using synthetic data;Medical Image Analysis;2024-04

5. Reproducibility in Machine Learning for Medical Imaging;Machine Learning for Brain Disorders;2023

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