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- Automated MRI Quality Assessment of Brain T1-weighted MRI in Clinical Data Warehouses: A Transfer Learning Approach Relying on Artefact Simulation
- Automatic motion artefact detection in brain T1-weighted magnetic resonance images from a clinical data warehouse using synthetic data
- Clinica, an open-source software to facilitate neuroimaging studies
- Contrast-enhanced to non-contrast-enhanced image translation to exploit a clinical data warehouse of T1-weighted brain MRI
- Leveraging healthy population variability in deep learning unsupervised anomaly detection in brain FDG PET
- Generating PET-derived maps of myelin content from clinical MRI using curricular discriminator training in generative adversarial networks
- Recent advances in the open-source ClinicaDL software for reproducible neuroimaging with deep learning
- Evaluation of pseudo-healthy image reconstruction for anomaly detection with deep generative models: Application to brain FDG PET
- Pseudo-healthy image reconstruction with variational autoencoders for anomaly detection: A benchmark on 3D brain FDG PET