PRD – Robust Anomaly Detection in Multimodal Neuroimaging
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- Leveraging healthy population variability in deep learning unsupervised anomaly detection in brain FDG PET
- Evaluation of pseudo-healthy image reconstruction for anomaly detection with deep generative models: Application to brain FDG PET
- A2V: A Semi-Supervised Domain Adaptation Framework for Brain Vessel Segmentation via Two-Phase Training Angiography-to-Venography Translation
- Unsupervised anomaly detection in 3D brain FDG PET: A benchmark of 17 VAE-based approaches
- Semi-supervised Domain Adaptation for Automatic Quality Control of FLAIR MRIs in a Clinical Data Warehouse
- Evaluation of MRI-based machine learning approaches for computer-aided diagnosis of dementia in a clinical data warehouse
- From Nipype to Pydra: a Clinica story
- Operationalizing the centiloid scale for [18 F]florbetapir PET studies on PET/MRI
- Simulation-based evaluation framework for deep learning unsupervised anomaly detection on brain FDG PET