2023.11.09 – Advanced Imaging Techniques in Neuroradiology – Essentials of machine learning
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- Detecting Brain Anomalies in Clinical Routine with the β-VAE: Feasibility Study on Age-Related White Matter Hyperintensities
- 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
- The intriguing effect of frequency disentangled learning on medical image segmentation
- Recent advances in the open-source ClinicaDL software for reproducible neuroimaging with deep learning
- Leveraging healthy population variability in deep learning unsupervised anomaly detection in brain FDG PET
- Leveraging noise and contrast simulation for the automatic quality control of routine clinical T1-weighted brain MRI