DE FRANCISCI, MATTIA
DE FRANCISCI, MATTIA
Università di Padova
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EMATA: a toolbox for the automatic extraction and modeling of arterial inputs for tracer kinetic analysis in [18F]FDG brain studies
2024 De Francisci, M.; Silvestri, E.; Bettinelli, A.; Volpi, T.; Goyal, M. S.; Vlassenko, A. G.; Cecchin, D.; Bertoldo, A.
Image-derived Input Function in brain [18F]FDG PET data: which alternatives to the carotid siphons?
2022 Silvestri, Erica; Volpi, Tommaso; Bettinelli, Andrea; De Francisci, Mattia; Jones, Judson; Corbetta, Maurizio; Cecchin, Diego; Bertoldo, Alessandra
The many faces of ‘metabolic connectivity’: Comparing [18F]FDG kinetic model parameters vs. SUVR networks
2022 Volpi, Tommaso; DE FRANCISCI, Mattia; Lee, John J.; Vlassenko, Andrei G.; Goyal, Manu S.; Corbetta, Maurizio; Bertoldo, Alessandra
| Titolo | Data di pubblicazione | Autori | Rivista | Serie | Titolo libro |
|---|---|---|---|---|---|
| EMATA: a toolbox for the automatic extraction and modeling of arterial inputs for tracer kinetic analysis in [18F]FDG brain studies | 2024 | De Francisci M.Silvestri E.Bettinelli A.Volpi T.Cecchin D.Bertoldo A. + | EJNMMI PHYSICS | - | - |
| Image-derived Input Function in brain [18F]FDG PET data: which alternatives to the carotid siphons? | 2022 | Silvestri, EricaVolpi, TommasoBettinelli, AndreaDe Francisci, MattiaCorbetta, MaurizioCecchin, DiegoBertoldo, Alessandra + | - | - | 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) |
| The many faces of ‘metabolic connectivity’: Comparing [18F]FDG kinetic model parameters vs. SUVR networks | 2022 | Tommaso VolpiMattia De FrancisciMaurizio CorbettaAlessandra Bertoldo + | - | - | BRAIN and BRAIN-PET 2022 abstracts |