Publications of Clement Abi Nader

1. Clément Abi Nader. Modelling and simulating the progression of Alzheimer's disease through the analysis of multi-modal neuroimages and clinical data. Theses, Université Côte d'Azur, June 2021. Keyword(s): Alzheimer's disease, Clinical trials, Magnetic resonance imaging, Positron emission tomography, Machine learning, Gaussian processes, Variational autoencoder, Dynamical systems, Maladie d'Alzheimer, Essais cliniques, Imagerie par résonance magnétique, Tomographie par émission de positons, Apprentissage automatique, Processus gaussiens, Auto-encodeur variationnel, Systèmes dynamiques. [bibtex-entry]

1. Clément Abi Nader, Federica Ribaldi, Giovanni B Frisoni, Valentina Garibotto, Philippe Robert, Nicholas Ayache, and Marco Lorenzi. SimulAD: A dynamical model for personalized simulation and disease staging in Alzheimer's disease. Neurobiology of Aging, 113:73-83, May 2022. Keyword(s): Alzheimer's disease, Disease progression models, Clinical trials, Biomarkers. [bibtex-entry]



2. Clément Abi Nader, Nicholas Ayache, Giovanni B Frisoni, Philippe Robert, and Marco Lorenzi. Simulating the outcome of amyloid treatments in Alzheimer's Disease from multi-modal imaging and clinical data. Brain Communications, February 2021. Keyword(s): Alzheimer's Disease, Clinical trials, Disease progression, Amyloid hypothesis, Mental State Examination, FAQ = Functional Assessment Questionnaire, RAVLT = Rey Auditory Verbal Learning Test, CDRSB = Clinical Dementia Rating Scale Sum of Boxes. [bibtex-entry]



3. Clement Abi Nader, Nicholas Ayache, Philippe Robert, and Marco Lorenzi. Monotonic Gaussian Process for Spatio-Temporal Disease Progression Modeling in Brain Imaging Data. NeuroImage, 2019. Keyword(s): Stochastic variational inference, Clinical trials, Bayesian modeling, Alzheimer's disease, Disease progression modeling, Gaussian Process. [bibtex-entry]

1. Clement Abi Nader, Nicholas Ayache, Philippe Robert, and Marco Lorenzi. Alzheimer's Disease Modelling and Staging through Independent Gaussian Process Analysis of Spatio-Temporal Brain Changes. In Machine Learning in Clinical Neuroimaging (MLCN) workshop, Granada, Spain, September 2018. Keyword(s): Alzheimer's Disease, Disease Progression Modelling, Gaussian Process. [bibtex-entry]

1. Clement Abi Nader, Nicholas Ayache, Valeria Manera, Philippe Robert, and Marco Lorenzi. Disentangling spatio-temporal patterns of brain changes in large-scale brain imaging databases through Independent Gaussian Process Analysis. 12ème Conférence Francophone d'Epidémiologie Clinique (EPICLIN) et 25èmes Journées des statisticiens des Centre de Lutte Contre le Cancer (CLCC), May 2018. Note: Poster. Keyword(s): Gaussian Process, Statistical Learning. [bibtex-entry]



2. Clement Abi Nader, Nicholas Ayache, Philippe Robert, and Marco Lorenzi. Appendix Alzheimer's Disease Modelling and Staging through Independent Gaussian Process Analysis of Spatio-Temporal Brain Changes, July 2018. Note: Appendix. [bibtex-entry]

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