Clinica: An Open-Source Software Platform for Reproducible Clinical Neuroscience Studies. - Alexandre Routier; Ninon Burgos; Mauricio Diaz-Melo; Michael Bacci; Simona Bottani; Omar El-Rifai; Sabrina Fontanella; Pietro Gori; Jérémy Guillon; Alexis Guyot; Ravi Hassanaly; Thomas Jacquemont; et al. (Frontiers Neuroinformatics, 2021)

ClinicaDL: An open-source deep learning software for reproducible neuroimaging processing. - Elina Thibeau-Sutre; Mauricio Diaz-Melo; Ravi Hassanaly; Alexandre Routier; Didier Dormont; Olivier Colliot; Ninon Burgos (Comput. Methods Programs Biomed., 2022)

Unsupervised Anomaly Detection in 3D Brain FDG PET: A Benchmark of 17 VAE-Based Approaches. - Ravi Hassanaly; Camille Brianceau; Olivier Colliot; Ninon Burgos (DGM4MICCAI, 2023)

Simulation based evaluation framework for deep learning unsupervised anomaly detection on brain FDG-PET. - Ravi Hassanaly; Simona Bottani; Benoît Sauty; Olivier Colliot; Ninon Burgos (Image Processing, 2023)

Leveraging healthy population variability in deep learning unsupervised anomaly detection in brain FDG PET. - Maëlys Solal; Ravi Hassanaly; Ninon Burgos (CoRR, 2023)

Evaluation of pseudo-healthy image reconstruction for anomaly detection with deep generative models: Application to brain FDG PET. - Ravi Hassanaly; Camille Brianceau; Maëlys Solal; Olivier Colliot; Ninon Burgos (CoRR, 2024)

Pseudo-healthy image reconstruction with deep generative models for the detection of dementia-related anomalies. (Reconstruction d'images pseudo-saines à l'aide de modèles génératifs profonds pour la détection d'anomalies liées à la démence). - Ravi Hassanaly (2024)