PRD – Robust Anomaly Detection in Multimodal Neuroimaging
Posted by Posted by Posted by Latest publications
- Automatic quality control of brain 3D FLAIR MRIs for a clinical data warehouse
- Simulation d'artefacts pour le contrôle automatique de la qualité d'IRM cérébrales FLAIR en routine clinique
- Reproducibility in medical image computing: what is it and how is it assessed?
- Confidence intervals uncovered: Are we ready for real-world medical imaging AI?
- 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