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About me

I am a CNRS researcher at the Paris Brain Institute, in the ARAMIS Lab and a fellow of PR[AI]RIE, the PaRis Artificial Intelligence Research InstitutE. I completed my PhD in 2016 at University College London in the Centre for Medical Image Computing under the supervision of Sébastien Ourselin. In 2019, I received the ERCIM Cor Baayen Young Researcher Award. My research currently focuses on the development of computational imaging tools to improve the understanding and diagnosis of neurological disorders, in particular dementia.

You can check my CV here.

Representative publications

  • Hassanaly, R., Brianceau, C., Solal, M., Colliot, O., and Burgos, N.: Evaluation of Pseudo-Healthy Image Reconstruction for Anomaly Detection with Deep Generative Models: Application to Brain FDG PET. Machine Learning for Biomedical Imaging, 2(Special Issue for Generative Models): 611–656, 2024. doi:10.59275/j.melba.2024-b87a Available on HAL
  • Loizillon, S., Bottani, S., Maire, A., Ströer, S., Dormont, D., Colliot, O., and Burgos, N.: Automatic Motion Artefact Detection in Brain T1-Weighted Magnetic Resonance Images from a Clinical Data Warehouse Using Synthetic Data. Medical Image Analysis, 93: 103073, 2024. doi:10.1016/j.media.2023.103073
  • Loizillon, S., Colliot, O., Chougar, L., Stroer, S., Jacob, Y., Maire, A., Dormont, D., and Burgos, N.: Semi-Supervised Domain Adaptation for Automatic Quality Control of FLAIR MRIs in a Clinical Data Warehouse. In Domain Adaptation and Representation Transfer, LNCS, 14293: 84–93, 2024. doi:10.1007/978-3-031-45857-6_9 Available on HAL
  • Bottani, S., Burgos, N., Maire, A., Saracino, D., Ströer, S., Dormont, D., and Colliot, O.: Evaluation of MRI-Based Machine Learning Approaches for Computer-Aided Diagnosis of Dementia in a Clinical Data Warehouse. Medical Image Analysis, 89: 102903, 2023. doi:10.1016/j.media.2023.102903 Available on HAL
  • Bottani, S., Burgos, N., Maire, A., Wild, A., Ströer, S., Dormont, D., and Colliot, O.: Automatic Quality Control of Brain T1-Weighted Magnetic Resonance Images for a Clinical Data Warehouse. Medical Image Analysis, 75:102219, 2022. doi:10.1016/j.media.2021.102219 Available on HAL
  • Thibeau-Sutre, E., Díaz, M., Hassanaly, R., Routier, A., Dormont, D., Colliot, O., and Burgos, N.: ClinicaDL: An Open-Source Deep Learning Software for Reproducible Neuroimaging Processing. Computer Methods and Programs in Biomedicine, 220: 106818, 2022. doi:10.1016/j.cmpb.2022.106818 Available on HAL
  • Routier, A., Burgos, N., Díaz, M., Bacci, M., Bottani, S., El-Rifai, O., Fontanella, S., Gori, P., Guillon, J., Guyot, A., Hassanaly, R., Jacquemont, T., Lu, P., Marcoux, A., Moreau, T., Samper-González, J., Teichmann, M., Thibeau-Sutre, E., Vaillant, G., Wen, J., Wild, A., Habert, M.-O., Durrleman, S., and Colliot, O.: Clinica: An Open-Source Software Platform for Reproducible Clinical Neuroscience Studies. Frontiers in Neuroinformatics, 15: 39, 2021. doi:10.3389/fninf.2021.689675 Available on HAL
  • Burgos, N., Cardoso, M.J., Samper-González, J., Habert, M.-O., Durrleman, S., Ourselin, S., and Colliot, O.: Anomaly Detection for the Individual Analysis of Brain PET Images. Journal of Medical Imaging, 8(2): 024003, 2021. doi:10.1117/1.JMI.8.2.024003 Available on HAL