Leveraging noise and contrast simulation for the automatic quality control of routine clinical T1-weighted brain MRI

Author:

Loizillon Sophie,Mabille Stéphane,Bottani Simona,Jacob Yannick,Maire Aurélien,Ströer Sebastian,Dormont Didier,Colliot Olivier,Burgos Ninon

Publisher

SPIE

Reference9 articles.

1. Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouse

2. Transfer learning from synthetic to routine clinical data for motion artefact detection in brain T1-weighted MRI;Loizillon,2023

3. Classifying MRI motion severity using a stacked ensemble approach

4. MRI k-Space Motion Artefact Augmentation: Model Robustness and Task-Specific Uncertainty;Shaw;Medical Imaging with Deep Learning - MIDL 2018,2018

5. Retrospective correction of motion artifact affected structural MRI images using deep learning of simulated motion;Duffy;Medical Imaging with Deep Learning - MIDL 2018,2018

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