Publications of Sara Garbarino

1. Sara Garbarino and Marco Lorenzi. Investigating hypotheses of neurodegeneration by learning dynamical systems of protein propagation in the brain. NeuroImage, 235:117980, July 2021. Keyword(s): Neurodegeneration, Causal model, Dynamical systems, Protein propagation, Gaussian process, Brain connectivity. [bibtex-entry]



2. Sara Garbarino, Marco Lorenzi, Neil Oxtoby, Elisabeth Vinke, Razvan Marinescu, Arman Eshaghi, M Arfan Ikram, Wiro Niessen, Olga Ciccarelli, Frederik Barkhof, Jonathan Schott, Meike Vernooij, and Daniel Alexander. Differences in topological progression profile among neurodegenerative diseases from imaging data. eLife, 8, December 2019. [bibtex-entry]



3. R azvan Marinescu, Arman Eshaghi, Marco Lorenzi, Alexandra Young, Neil Oxtoby, Sara Garbarino, Sebastian Crutch, and Daniel Alexander. DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders. NeuroImage, 192:166-177, May 2019. [bibtex-entry]

1. Sara Garbarino and Marco Lorenzi. Modeling and inference of spatio-temporal protein dynamics across brain networks. In IPMI 2019 - International Conference on Information Processing in Medical Imaging, volume 11492 of Lecture Notes in Computer Science book series, Hong Kong, Hong Kong SAR China, pages 57-69, June 2019. springer. Note: Bayesian non--parametric model, protein propagation, Alzheimer'sdisease, Gaussian process, dynamical systems, spatio--temporal model, disease progression modeling. [bibtex-entry]



2. R azvan Valentin Marinescu, Arman Esaghi, Marco Lorenzi, Alexandra L. Young, Neil P. Oxtoby, Sara Garbarino, Timothy J. Shakespeare, Sebastian Crutch, and Daniel C Alexander. A Vertex Clustering Model for Disease Progression: Application to Cortical Thickness Images. In International Conference on Information Processing in Medical Imaging (IPMI), Boone, United States, July 2017. [bibtex-entry]

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