GARBARINO, SARA
GARBARINO, SARA
100021 - Dipartimento di Matematica
A new compartmental method for the analysis of liver FDG kinetics in small animal models
2015-01-01 Garbarino, Sara; Vivaldi, Valentina; Delbary, Fabrice; Caviglia, Giacomo; Piana, Michele; Marini, Cecilia; Capitanio, Selene; Calamia, Iolanda; Buschiazzo, Ambra; Sambuceti, Gianmario
A novel description of FDG excretion in the renal system: application to metformin-treated models.
2014-01-01 Garbarino, Sara; Caviglia, Giacomo; Sambuceti, Gianmario; Benvenuto, Federico; Piana, Michele
A physiology-based parametric imaging method for FDG–PET data
2017-01-01 Scussolini, Mara; Garbarino, Sara; Sambuceti, Gianmario; Caviglia, Giacomo; Piana, Michele
A Study on the Role of Radiomics Feature Stability in Predicting Breast Cancer Subtypes
2024-01-01 Cama, I.; Guzman, A.; Garbarino, S.; Campi, C.; Lekadir, K.; D('i)az, O.
A vertex clustering model for disease progression: Application to cortical thickness images
2017-01-01 Marinescu, R. V.; Eshaghi, A.; Lorenzi, M.; Young, A. L.; Oxtoby, N. P.; Garbarino, S.; Shakespeare, T. J.; Crutch, S. J.; Alexander, D. C.
ANALYSIS OF THE HETEROGENEITY OF POSTERIOR CORTICAL ATROPHY: DATA-DRIVEN MODEL PREDICTS DISTINCT ATROPHY PATTERNS FOR THREE DIFFERENT COGNITIVE SUBGROUPS
2017-01-01 Marinescu, Razvan Valentin; Primativo, Silvia; Young, Alexandra L.; Oxtoby, Neil P.; Firth, Nicholas C.; Eshaghi, Arman; Garbarino, Sara; Cardoso, Jorge M.; Yong, Keir; Fox, Nick C.; Lehmann, Manja; Shakespeare, Timothy J.; Crutch, Sebastian J.; Alexander, Daniel C.
Approximation of discontinuous inverse operators with neural networks
2022-01-01 Massa, P.; Garbarino, S.; Benvenuto, F.
Clinical predictors of late SARS-CoV-2 positivity in Italian internal medicine wards
2021-01-01 Carbone, Federico; Ministrini, Stefano; Garbarino, Sara; Vischi, Giulia; Carpaneto, Valeria; Sobrero, Matteo; Monti, Chiara; De Stefano, Daria; Saccomanno, Benedetta; Massone, Marcella; Liberale, Luca; Piccardo, Arianna; Calvia, Alessandro; Vischi, Federica; Bagnasco, Maddalena; Magnani, Ottavia; Caiti, Matteo; Cenni, Elisabetta; Ballarino, Paola; Giuntini, Patrizia; Barreca, Alessandra; Tognoni, Chiara; Pirisi, Federica; Canepa, Paolo; Cerminara, Domenico; Pelanconi, Lisa; Strozzi, Michele; Thneibat, Amedeo; Stabile, Mario; Felix, Edineia; Dasso, Selena; Casini, Cecilia; Minetti, Alberto; Gonella, Roberta; Ferrando, Fabio; Bellodi, Andrea; Ballestrero, Alberto; Barbera, Paolo; Poggi, Andrea Lorenzo; Arboscello, Eleonora; Pende, Aldo; Moscatelli, Paolo; Piana, Michele; Montecucco, Fabrizio
Compartmental analysis of dynamic nuclear medicine data: Models and identifiability
2016-01-01 Delbary, F.; Garbarino, S.; Vivaldi, V.
Compartmental analysis of dynamic nuclear medicine data: regularization procedure and application to physiology
2019-01-01 Delbary, F.; Garbarino, S.
Data-driven sequence of changes to anatomical brain connectivity in sporadic Alzheimer's disease
2017-01-01 Oxtoby, N. P.; Garbarino, S.; Firth, N. C.; Warren, J. D.; Schott, J. M.; Alexander, D. C.
Differences in topological progression profile among neurodegenerative diseases from imaging data
2019-01-01 Garbarino, S.; Lorenzi, M.; Oxtoby, N. P.; Vinke, E. J.; Marinescu, R. V.; Eshaghi, A.; Ikram, M. A.; Niessen, W. J.; Ciccarelli, O.; Barkhof, F.; Schott, J. M.; Vernooij, M. W.; Alexander, D. C.
DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders
2019-01-01 Marinescu, R. V.; Eshaghi, A.; Lorenzi, M.; Young, A. L.; Oxtoby, N. P.; Garbarino, S.; Crutch, S. J.; Alexander, D. C.
Estimate of FDG excretion by means of compartmental analysis and Ant Colony Optimization
2013-01-01 Garbarino, Sara; Caviglia, Giacomo; M., Brignone; M., Massollo; Sambuceti, Gianmario; Piana, Michele
Expectation maximization and the retrieval of the atmospheric extinction coefficients by inversion of Raman lidar data
2016-01-01 Garbarino, Sara; Sorrentino, Alberto; Massone, Anna Maria; Sannino, Alessia; Boselli, Antonella; Wang, Xuan; Spinelli, Nicola; Piana, Michele
First Hard X-Ray Imaging Results by Solar Orbiter STIX
2022-01-01 Massa, P.; Battaglia, A. F.; Volpara, A.; Collier, H.; Hurford, G. J.; Kuhar, M.; Perracchione, E.; Garbarino, S.; Massone, A. M.; Benvenuto, F.; Schuller, F.; Warmuth, A.; Dickson, E. C. M.; Xiao, H.; Maloney, S. A.; Ryan, D. F.; Piana, M.; Krucker, S.
Forward fitting STIX visibilities
2022-01-01 Volpara, A.; Massa, P.; Perracchione, E.; Francesco Battaglia, A.; Garbarino, S.; Benvenuto, F.; Krucker, S.; Piana, M.; Massone, A. M.
Imaging from STIX visibility amplitudes
2021-01-01 Massa, P.; Perracchione, E.; Garbarino, S.; Battaglia, A. F.; Benvenuto, F.; Piana, M.; Hurford, G.; Krucker, S.
Investigating hypotheses of neurodegeneration by learning dynamical systems of protein propagation in the brain
2021-01-01 Garbarino, S.; Lorenzi, M.
Iterative algorithms for a non-linear inverse problem in atmospheric lidar
2017-01-01 Denevi, Giulia; Garbarino, Sara; Sorrentino, Alberto
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
A new compartmental method for the analysis of liver FDG kinetics in small animal models | 1-gen-2015 | Garbarino, Sara; Vivaldi, Valentina; Delbary, Fabrice; Caviglia, Giacomo; Piana, Michele; Marini, Cecilia; Capitanio, Selene; Calamia, Iolanda; Buschiazzo, Ambra; Sambuceti, Gianmario | |
A novel description of FDG excretion in the renal system: application to metformin-treated models. | 1-gen-2014 | Garbarino, Sara; Caviglia, Giacomo; Sambuceti, Gianmario; Benvenuto, Federico; Piana, Michele | |
A physiology-based parametric imaging method for FDG–PET data | 1-gen-2017 | Scussolini, Mara; Garbarino, Sara; Sambuceti, Gianmario; Caviglia, Giacomo; Piana, Michele | |
A Study on the Role of Radiomics Feature Stability in Predicting Breast Cancer Subtypes | 1-gen-2024 | Cama, I.; Guzman, A.; Garbarino, S.; Campi, C.; Lekadir, K.; D('i)az, O. | |
A vertex clustering model for disease progression: Application to cortical thickness images | 1-gen-2017 | Marinescu, R. V.; Eshaghi, A.; Lorenzi, M.; Young, A. L.; Oxtoby, N. P.; Garbarino, S.; Shakespeare, T. J.; Crutch, S. J.; Alexander, D. C. | |
ANALYSIS OF THE HETEROGENEITY OF POSTERIOR CORTICAL ATROPHY: DATA-DRIVEN MODEL PREDICTS DISTINCT ATROPHY PATTERNS FOR THREE DIFFERENT COGNITIVE SUBGROUPS | 1-gen-2017 | Marinescu, Razvan Valentin; Primativo, Silvia; Young, Alexandra L.; Oxtoby, Neil P.; Firth, Nicholas C.; Eshaghi, Arman; Garbarino, Sara; Cardoso, Jorge M.; Yong, Keir; Fox, Nick C.; Lehmann, Manja; Shakespeare, Timothy J.; Crutch, Sebastian J.; Alexander, Daniel C. | |
Approximation of discontinuous inverse operators with neural networks | 1-gen-2022 | Massa, P.; Garbarino, S.; Benvenuto, F. | |
Clinical predictors of late SARS-CoV-2 positivity in Italian internal medicine wards | 1-gen-2021 | Carbone, Federico; Ministrini, Stefano; Garbarino, Sara; Vischi, Giulia; Carpaneto, Valeria; Sobrero, Matteo; Monti, Chiara; De Stefano, Daria; Saccomanno, Benedetta; Massone, Marcella; Liberale, Luca; Piccardo, Arianna; Calvia, Alessandro; Vischi, Federica; Bagnasco, Maddalena; Magnani, Ottavia; Caiti, Matteo; Cenni, Elisabetta; Ballarino, Paola; Giuntini, Patrizia; Barreca, Alessandra; Tognoni, Chiara; Pirisi, Federica; Canepa, Paolo; Cerminara, Domenico; Pelanconi, Lisa; Strozzi, Michele; Thneibat, Amedeo; Stabile, Mario; Felix, Edineia; Dasso, Selena; Casini, Cecilia; Minetti, Alberto; Gonella, Roberta; Ferrando, Fabio; Bellodi, Andrea; Ballestrero, Alberto; Barbera, Paolo; Poggi, Andrea Lorenzo; Arboscello, Eleonora; Pende, Aldo; Moscatelli, Paolo; Piana, Michele; Montecucco, Fabrizio | |
Compartmental analysis of dynamic nuclear medicine data: Models and identifiability | 1-gen-2016 | Delbary, F.; Garbarino, S.; Vivaldi, V. | |
Compartmental analysis of dynamic nuclear medicine data: regularization procedure and application to physiology | 1-gen-2019 | Delbary, F.; Garbarino, S. | |
Data-driven sequence of changes to anatomical brain connectivity in sporadic Alzheimer's disease | 1-gen-2017 | Oxtoby, N. P.; Garbarino, S.; Firth, N. C.; Warren, J. D.; Schott, J. M.; Alexander, D. C. | |
Differences in topological progression profile among neurodegenerative diseases from imaging data | 1-gen-2019 | Garbarino, S.; Lorenzi, M.; Oxtoby, N. P.; Vinke, E. J.; Marinescu, R. V.; Eshaghi, A.; Ikram, M. A.; Niessen, W. J.; Ciccarelli, O.; Barkhof, F.; Schott, J. M.; Vernooij, M. W.; Alexander, D. C. | |
DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders | 1-gen-2019 | Marinescu, R. V.; Eshaghi, A.; Lorenzi, M.; Young, A. L.; Oxtoby, N. P.; Garbarino, S.; Crutch, S. J.; Alexander, D. C. | |
Estimate of FDG excretion by means of compartmental analysis and Ant Colony Optimization | 1-gen-2013 | Garbarino, Sara; Caviglia, Giacomo; M., Brignone; M., Massollo; Sambuceti, Gianmario; Piana, Michele | |
Expectation maximization and the retrieval of the atmospheric extinction coefficients by inversion of Raman lidar data | 1-gen-2016 | Garbarino, Sara; Sorrentino, Alberto; Massone, Anna Maria; Sannino, Alessia; Boselli, Antonella; Wang, Xuan; Spinelli, Nicola; Piana, Michele | |
First Hard X-Ray Imaging Results by Solar Orbiter STIX | 1-gen-2022 | Massa, P.; Battaglia, A. F.; Volpara, A.; Collier, H.; Hurford, G. J.; Kuhar, M.; Perracchione, E.; Garbarino, S.; Massone, A. M.; Benvenuto, F.; Schuller, F.; Warmuth, A.; Dickson, E. C. M.; Xiao, H.; Maloney, S. A.; Ryan, D. F.; Piana, M.; Krucker, S. | |
Forward fitting STIX visibilities | 1-gen-2022 | Volpara, A.; Massa, P.; Perracchione, E.; Francesco Battaglia, A.; Garbarino, S.; Benvenuto, F.; Krucker, S.; Piana, M.; Massone, A. M. | |
Imaging from STIX visibility amplitudes | 1-gen-2021 | Massa, P.; Perracchione, E.; Garbarino, S.; Battaglia, A. F.; Benvenuto, F.; Piana, M.; Hurford, G.; Krucker, S. | |
Investigating hypotheses of neurodegeneration by learning dynamical systems of protein propagation in the brain | 1-gen-2021 | Garbarino, S.; Lorenzi, M. | |
Iterative algorithms for a non-linear inverse problem in atmospheric lidar | 1-gen-2017 | Denevi, Giulia; Garbarino, Sara; Sorrentino, Alberto |