2023.11.09 – Advanced Imaging Techniques in Neuroradiology – Essentials of machine learning
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- Nipoppy: A framework for standardizing neuroimaging studies to facilitate international derived-data sharing
- Unsupervised Brain Anomaly Detection as a Bayesian Inverse Problem with Diffusion Prior
- Unsupervised anomaly detection with deep generative models: an experimental analysis of model variability and mitigation strategies
- 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
- Beyond Tool Development: Building the Nipoppy Pipeline Store, Ecosystem and Community
- ClinicaDL v2: an open-source Python library for reproducible deep learning in neuroimaging
- Benchmarking skull-stripping methods for integration in Clinica
- Pseudo-healthy FDG PET synthesis: Revisiting a registration and fusion approach with deep learning