Sara Garbarino
Sara Garbarino
UniversitÚ C˘te d'Azur, INRIA
Verified email at inria.fr - Homepage
TitleCited byYear
A new compartmental method for the analysis of liver FDG kinetics in small animal models
S Garbarino, V Vivaldi, F Delbary, G Caviglia, M Piana, C Marini, ...
European Journal of Nuclear Medicine and Molecular Imaging Research 2015, 5-35, 2015
162015
A novel description of FDG excretion in the renal system: application to metformin-treated models
S Garbarino, G Caviglia, G Sambuceti, F Benvenuto, M Piana
Physics in Medicine & Biology 59 (10), 2469, 2014
142014
Data-driven sequence of changes to anatomical brain connectivity in sporadic Alzheimer’s disease
NP Oxtoby, S Garbarino, NC Firth, JD Warren, JM Schott, DC Alexander, ...
Frontiers in neurology 8, 580, 2017
132017
A vertex clustering model for disease progression: application to cortical thickness images
RV Marinescu, A Eshaghi, M Lorenzi, AL Young, NP Oxtoby, S Garbarino, ...
International Conference on Information Processing in Medical Imaging, 134-145, 2017
102017
Estimate of FDG excretion by means of compartmental analysis and ant colony optimization of nuclear medicine data
S Garbarino, G Caviglia, M Brignone, M Massollo, G Sambuceti, M Piana
Computational and mathematical methods in medicine 2013, 2013
102013
A physiology-based parametric imaging method for FDG–PET data
M Scussolini, S Garbarino, G Sambuceti, G Caviglia, M Piana
Inverse Problems 33 (12), 125010, 2017
82017
Compartmental analysis of dynamic nuclear medicine data: regularization procedure and application to physiology
F Delbary, S Garbarino
Inverse Problems in Science and Engineering 27 (9), 1279-1297, 2019
72019
Compartmental analysis of dynamic nuclear medicine data: models and identifiability
F Delbary, S Garbarino, V Vivaldi
Inverse Problems 32 (12), 125010, 2016
62016
DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders
RV Marinescu, A Eshaghi, M Lorenzi, AL Young, NP Oxtoby, S Garbarino, ...
NeuroImage 192, 166-177, 2019
52019
Reference Tissue Models for FDG-PET Data: Identifiability and Solvability
M Scussolini, S Garbarino, M Piana, G Sambuceti, G Caviglia
IEEE Transactions on Radiation and Plasma Medical Sciences 2 (3), 177-186, 2018
52018
Expectation maximization and the retrieval of the atmospheric extinction coefficients by inversion of Raman lidar data
S Garbarino, A Sorrentino, AM Massone, A Sannino, A Boselli, X Wang, ...
Optics express 24 (19), 21497-21511, 2016
52016
Modeling and inference of spatio-temporal protein dynamics across brain networks
S Garbarino, M Lorenzi, Alzheimer’s Disease Neuroimaging Initiative
International Conference on Information Processing in Medical Imaging, 57-69, 2019
12019
Differences in topological progression profile among neurodegenerative diseases from imaging data
S Garbarino, M Lorenzi, NP Oxtoby, EJ Vinke, RV Marinescu, A Eshaghi, ...
eLife 8, e49298, 2019
2019
DELIVERING DISEASE PROGRESSION MODELS TO CLINICAL PRACTICE: A USER STUDY ON OPPORTUNITIES AND BARRIERS FOR TRANSLATION AND ADOPTION
M Bellio, D Furniss, NC Firth, S Garbarino, NP Oxtoby, A Ribbens, ...
Alzheimer's & Dementia: The Journal of the Alzheimer's Association 15 (7á…, 2019
2019
Multivariate Regularized Newton and Levenberg-Marquardt methods: a comparison on synthetic data of tumor hypoxia in a kinetic framework
S Garbarino, G Caviglia
Communications in Applied and Industrial Mathematics 10 (2), 47-53, 2019
2019
MECHANISTIC PROFILES OF NEURODEGENERATION: A STUDY IN ALZHEIMER’S DISEASE, HEALTHY AGEING AND PRIMARY PROGRESSIVE MULTIPLE SCLEROSIS
S Garbarino, M Lorenzi, E Vinke, RV Marinescu, NP Oxtoby, A Eshaghi, ...
Alzheimer's & Dementia: The Journal of the Alzheimer's Association 14 (7á…, 2018
2018
A Full Reference Tissue Model with Non-Vanishing Blood Volume Fractions for Kinetic Analysis of Dynamic FDG-PET Data
M Scussolini, S Garbarino, G Sambuceti, M Piana, A Buschiazzo, ...
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 44, S808-S809, 2017
2017
Iterative algorithms for a non-linear inverse problem in atmospheric lidar
G Denevi, S Garbarino, A Sorrentino
Inverse Problems 33 (8), 085010, 2017
2017
ANALYSIS OF THE HETEROGENEITY OF POSTERIOR CORTICAL ATROPHY: DATA-DRIVEN MODEL PREDICTS DISTINCT ATROPHY PATTERNS FOR THREE DIFFERENT COGNITIVE SUBGROUPS
RV Marinescu, S Primativo, AL Young, NP Oxtoby, NC Firth, A Eshaghi, ...
Alzheimer's & Dementia: The Journal of the Alzheimer's Association 13 (7á…, 2017
2017
Parametric Imaging of FDG-PET Data Using Physiology and Iterative Regularization: Application to the Hepatic and Renal Systems
M Scussolini, S Garbarino, G Sambuceti, G Caviglia, M Piana
arXiv preprint arXiv:1705.04603, 2017
2017
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Articles 1–20