publications

2024

  1. SPIE MI
    Recent advances in the open-source ClinicaDL software for reproducible neuroimaging with deep learning
    Ravi Hassanaly, Camille Brianceau, Mauricio Diaz, and 5 more authors
    In Medical Imaging 2023: Image Processing, 2024
  2. MELBA
    Evaluation of pseudo-healthy image reconstruction for anomaly detection with deep generative models: Application to Brain FDG PET
    Ravi Hassanaly, Camille Brianceau, Maëlys Solal, and 2 more authors
    Machine Learning for Biomedical Imaging, 2024

2023

  1. DGM4MICCAI
    Unsupervised anomaly detection in 3D brain FDG PET: A benchmark of 17 VAE-based approaches
    Ravi Hassanaly, Camille Brianceau, Olivier Colliot, and 1 more author
    In Deep Generative Models workshop at the 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023), 2023
  2. SPIE MI
    Simulation based evaluation framework for deep learning unsupervised anomaly detection on brain FDG-PET
    Ravi Hassanaly, Simona Bottani, Benoit Sauty, and 2 more authors
    In Medical Imaging 2023: Image Processing, 2023
  3. Main Existing Datasets for Open Brain Research on Humans
    Baptiste Couvy-Duchesne, Simona Bottani, Etienne Camenen, and 8 more authors
    In Machine Learning for Brain Disorders, 2023

2022

  1. ClinicaDL: An open-source deep learning software for reproducible neuroimaging processing
    Elina Thibeau-Sutre, Mauricio Diaz, Ravi Hassanaly, and 4 more authors
    Computer Methods and Programs in Biomedicine, 2022

2021

  1. Front. Neuroinform.
    Clinica: An open-source software platform for reproducible clinical neuroscience studies
    Alexandre Routier, Ninon Burgos, Mauricio Dı́az, and 8 more authors
    Frontiers in Neuroinformatics, 2021