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): Dynamical systems, Variational autoencoder, Gaussian processes, Machine learning, Positron emission tomography, Magnetic resonance imaging, Clinical trials, Alzheimer's disease, Auto-encodeur variationnel, Systèmes dynamiques, Processus gaussiens, Apprentissage automatique, Tomographie par émission de positons, Imagerie par résonance magnétique, Essais cliniques, Maladie d'Alzheimer. [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): Disease progression models, Clinical trials, Biomarkers, Alzheimer's disease. [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): FAQ = Functional Assessment Questionnaire, RAVLT = Rey Auditory Verbal Learning Test, CDRSB = Clinical Dementia Rating Scale Sum of Boxes, Mental State Examination, Amyloid hypothesis, Disease progression, Clinical trials, Alzheimer's Disease. [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): Gaussian Process, Disease progression modeling, Alzheimer's disease, Bayesian modeling, Clinical trials, Stochastic variational inference. [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): Gaussian Process, Disease Progression Modelling, Alzheimer's Disease. [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): Statistical Learning, Gaussian Process. [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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