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Sara Garbarino

Showing results (1-10 of 28) with videos related to

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Neuroimage|April 6, 2021
Investigating hypotheses of neurodegeneration by learning dynamical systems of protein propagation in the brainSara Garbarino, Marco Lorenzi,
Frontiers in Neuroscience|October 13, 2025
Graph neural networks in Alzheimer's disease diagnosis: a review of unimodal and multimodal advancesShahzad Ali, Michele Piana, Matteo Pardini, et al.
Computational and Mathematical Methods in Medicine|November 6, 2013
Estimate of FDG excretion by means of compartmental analysis and ant colony optimization of nuclear medicine dataSara Garbarino, Giacomo Caviglia, Massimo Brignone, et al.
Journal of Medical Imaging (Bellingham, Wash.)|September 19, 2025
Segmentation variability and radiomics stability for predicting triple-negative breast cancer subtype using magnetic resonance imagingIsabella Cama, Alejandro Guzmán, Cristina Campi, et al.
Optics Express|September 24, 2016
Expectation maximization and the retrieval of the atmospheric extinction coefficients by inversion of Raman lidar dataSara Garbarino, Alberto Sorrentino, Anna Maria Massone, et al.
Frontiers in Neurology|November 23, 2017
Data-Driven Sequence of Changes to Anatomical Brain Connectivity in Sporadic Alzheimer's DiseaseNeil P Oxtoby, Sara Garbarino, Nicholas C Firth, et al.
Nature Reviews. Neuroscience|January 8, 2024
Data-driven modelling of neurodegenerative disease progression: thinking outside the black boxAlexandra L Young, Neil P Oxtoby, Sara Garbarino, et al.
EJNMMI Research|June 17, 2015
A new compartmental method for the analysis of liver FDG kinetics in small animal modelsSara Garbarino, Valentina Vivaldi, Fabrice Delbary, et al.
Frontiers in Neuroimaging|March 5, 2026
A systematic study on the integration of MRI connectivity metrics for Alzheimer's diagnosis, staging, and cognitive decline predictionShahzad Ali, Wendy Kreshpa, Nicola Rosso, et al.
EJNMMI Research|November 1, 2024
Localized FDG loss in lung cancer lesionsDavide Parodi, Edoardo Dighero, Giorgia Biddau, et al.
Pageof 3

Showing results (1-10 of 28) with videos related to

Sort By:
Pageof 3
Neuroimage|April 6, 2021
Investigating hypotheses of neurodegeneration by learning dynamical systems of protein propagation in the brainSara Garbarino, Marco Lorenzi,
Frontiers in Neuroscience|October 13, 2025
Graph neural networks in Alzheimer's disease diagnosis: a review of unimodal and multimodal advancesShahzad Ali, Michele Piana, Matteo Pardini, et al.
Computational and Mathematical Methods in Medicine|November 6, 2013
Estimate of FDG excretion by means of compartmental analysis and ant colony optimization of nuclear medicine dataSara Garbarino, Giacomo Caviglia, Massimo Brignone, et al.
Journal of Medical Imaging (Bellingham, Wash.)|September 19, 2025
Segmentation variability and radiomics stability for predicting triple-negative breast cancer subtype using magnetic resonance imagingIsabella Cama, Alejandro Guzmán, Cristina Campi, et al.
Optics Express|September 24, 2016
Expectation maximization and the retrieval of the atmospheric extinction coefficients by inversion of Raman lidar dataSara Garbarino, Alberto Sorrentino, Anna Maria Massone, et al.
Frontiers in Neurology|November 23, 2017
Data-Driven Sequence of Changes to Anatomical Brain Connectivity in Sporadic Alzheimer's DiseaseNeil P Oxtoby, Sara Garbarino, Nicholas C Firth, et al.
Nature Reviews. Neuroscience|January 8, 2024
Data-driven modelling of neurodegenerative disease progression: thinking outside the black boxAlexandra L Young, Neil P Oxtoby, Sara Garbarino, et al.
EJNMMI Research|June 17, 2015
A new compartmental method for the analysis of liver FDG kinetics in small animal modelsSara Garbarino, Valentina Vivaldi, Fabrice Delbary, et al.
Frontiers in Neuroimaging|March 5, 2026
A systematic study on the integration of MRI connectivity metrics for Alzheimer's diagnosis, staging, and cognitive decline predictionShahzad Ali, Wendy Kreshpa, Nicola Rosso, et al.
EJNMMI Research|November 1, 2024
Localized FDG loss in lung cancer lesionsDavide Parodi, Edoardo Dighero, Giorgia Biddau, et al.
Pageof 3