| 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 | 29 | 2017 |
| 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 | 22 | 2015 |
| 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 | 21 | 2019 |
| 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 | 16 | 2014 |
| 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 | 13 | 2017 |
| 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 | 10 | 2017 |
| 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 | 10 | 2013 |
| 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 | 9 | 2019 |
| Compartmental analysis of dynamic nuclear medicine data: models and identifiability F Delbary, S Garbarino, V Vivaldi Inverse Problems 32 (12), 125010, 2016 | 8 | 2016 |
| 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 | 7 | 2018 |
| 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 | 6 | 2019 |
| 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 | 6 | 2016 |
| 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 | 4 | 2019 |
| Prion propagation estimated from brain diffusion MRI is subtype dependent in sporadic Creutzfeldt–Jakob disease R Pascuzzo, NP Oxtoby, AL Young, J Blevins, G Castelli, S Garbarino, ... Acta Neuropathologica 140 (2), 169-181, 2020 | 3 | 2020 |
| Compartmental analysis of renal physiology using nuclear medicine data and statistical optimization S Garbarino, G Caviglia, M Brignone, M Massollo, G Sambuceti, M Piana arXiv preprint arXiv:1212.3967, 2012 | 2 | 2012 |
| Iterative algorithms for a non-linear inverse problem in atmospheric lidar G Denevi, S Garbarino, A Sorrentino Inverse Problems 33 (8), 085010, 2017 | 1 | 2017 |
| TD‐P‐26: 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 15, P164-P165, 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 |
| P3‐436: 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 14 (7S_Part_24), P1280-P1281, 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, ... EANM'17, 2017 | | 2017 |
Michele PianaThe MIDA group and LISCOMPlab, Dipartimento di Matematica, Università di GenovaVerified email at dima.unige.it
