• Recherche translationnelle en santé,


    technologie pour la santé et recherche clinique

    https://tonic.inserm.fr/wp-content/uploads/2019/09/frederico-nemmi-150x150.jpg
     

    Federico NEMMI

    POST-DOCTORANT

      Publications rédigées ou co-rédigées

    • > 11- Action and Non-Action Oriented Body Representations: Insight from Behavioural and Grey Matter Modifications in Individuals with Lower Limb Amputation.

      Palermo L, Di Vita A, Boccia M, Nemmi F, Brunelli S, Traballesi M, De Giorgi R, Galati G, Guariglia C.

      Biomed Res Int. 2018 Oct 18;2018:1529730. doi: 10.1155/2018/1529730. eCollection 2018.
    • > 25- A totally data-driven whole-brain multimodal pipeline for the discrimination of Parkinson’s disease, multiple system atrophy and healthy control

      Nemmi F, Pavy-Le Traon A, Phillips O.R, Galitzky M, Meissner W.G, Rascol O, Péran P

      NeuroImage Clinical DOI : 10.1016/j.nicl.2019.101858
    • > 24- Discriminating between neurofibromatosis-1 and typically developing children by means of multimodal MRI and multivariate analyses

      Nemmi F, Cignetti F, Assaiante C, Maziero S, Audic F, Péran P, Chaix Y Hum Brain Mapp.

      2019;1–14 DOI: 10.1002/hbm.24612
    • > 21- Discriminating between neurofibromatosis-1 and typically developing children by means of multimodal MRI and multivariate analyses.

      Nemmi F, Cignetti F, Assaiante C, Maziero S, Audic F, Péran P, Chaix Y.

      Hum Brain Mapp. 2019 May 11. doi: 10.1002/hbm.24612.

    Federico Nemmi combines its expertise in MRI and PET images processing with its knowledge about statistic and machine learning to develop and validate new methods for the analysis of multimodal brain imaging aiming to discriminate and predict the course of neurological, neurodegenerative and psychiatric diseases. Its research focus also includes the development of new tools able to combine imaging data with data from other sources (e.g. biological assays, neuropsychological data) to improve the diagnosis and the disease progression prediction of neurological, neurodegenerative and psychiatric disease. The methods developed are freely available at his GitHub page.