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- Mitigating the reconstruction-detection trade-off in VAE-based unsupervised anomaly detection
- Mitiger le compromis entre détection et qualité de reconstruction en détection d'anomalies non-supervisée à partir de VAE
- Étude de la qualité des IRM T1 et FLAIR de routine clinique au sein d'un entrepôt de données de santé de l'AP-HP
- Comparing Longitudinal Preprocessing Pipelines for Brain Volume Consistency in T1-Weighted MRI Test-Retest Scans
- Assessing the Efficacy of Artefact Synthesis and Transfer Learning for Quality Control in Clinical 3D FLAIR Brain MRI
- Unsupervised anomaly detection in brain FDG PET with deep generative models: An experimental analysis of model variability and mitigation strategies
- Artificial intelligence in presymptomatic neurological diseases: Bridging normal variation and prodromal signatures
- Benchmarking 3D generative autoencoders for pseudo-healthy reconstruction of brain 18F-fluorodeoxyglucose positron emission tomography
- Unsupervised anomaly detection using Bayesian flow networks: application to brain FDG pet in the context of Alzheimer’s disease