PRD – Robust Anomaly Detection in Multimodal Neuroimaging
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- Benchmarking skull-stripping methods for integration in Clinica
- ClinicaDL v2: an open-source Python library for reproducible deep learning in neuroimaging
- Latent maximum-a-posteriori approach to improve pseudo-healthy reconstruction quality
- Study of the quality of clinical routine T1w and FLAIR brain MRI scans in a clinical data warehouse
- Comparing Volumetric Consistency of Longitudinal Preprocessing: A Multi-Cohort Test-Retest Study
- Integrating Clinica into Nipoppy to Facilitate Reproducible Large-Scale Neuroimaging Studies
- Mitigating the reconstruction-detection trade-off in VAE-based unsupervised anomaly detection
- Integrating Clinica into Nipoppy to facilitate reproducible large-scale neuroimaging studies
- Mitiger le compromis entre détection et qualité de reconstruction en détection d'anomalies non-supervisée à partir de VAE