FLYER AI4HEALTH
Posted by Posted by Posted by Latest publications
- Unsupervised anomaly detection in brain FDG PET with deep generative models: An experimental analysis of model variability and mitigation strategies
- 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
- 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