Ravi Hassanaly

According to our database, Ravi Hassanaly authored at least 6 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

2023

Leveraging healthy population variability in deep learning unsupervised anomaly detection in brain FDG PET.

Maëlys Solal, Ravi Hassanaly, Ninon Burgos

CoRR, 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

Proceedings of the Medical Imaging 2023: Image Processing, 2023

Unsupervised Anomaly Detection in 3D Brain FDG PET: A Benchmark of 17 VAE-Based Approaches.

Ravi Hassanaly, Camille Brianceau, Olivier Colliot, Ninon Burgos

Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023

2022

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

2021

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, Pascal Lu, Arnaud Marcoux, Tristan Moreau, Jorge Samper-González, Marc Teichmann, Elina Thibeau-Sutre, Ghislain Vaillant, Junhao Wen, Adam Wild, Marie Odile Habert, Stanley Durrleman, Olivier Colliot

Frontiers Neuroinformatics, 2021