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Ninon Burgos
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Research projects
Ongoing research projects
Deep generative models for the detection of anomalies in brain PET images
Machine learning to exploit neuroimages in clinical data warehouses
Past research projects
PhD – Atlas-based methods for image synthesis
Postdoc – Joint segmentation and image synthesis
Postdoc – Individual analysis of PET images for the diagnosis of dementia
Publications
Software
ARAMIS Lab
08/02/2024
Biomedical Image Synthesis and Simulation
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Ninon
Latest publications
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
Automatic motion artefact detection in brain T1-weighted magnetic resonance images from a clinical data warehouse using synthetic data
Clinica, an open-source software to facilitate neuroimaging studies
Contrast-enhanced to non-contrast-enhanced image translation to exploit a clinical data warehouse of T1-weighted brain MRI
The intriguing effect of frequency disentangled learning on medical image segmentation
Leveraging noise and contrast simulation for the automatic quality control of routine clinical T1-weighted brain MRI
Leveraging healthy population variability in deep learning unsupervised anomaly detection in brain FDG PET