MORBELLI, Silvia Daniela
MORBELLI, Silvia Daniela
SCIENZE MEDICHE
123I-FP-CIT SPECT validation of nigro-putaminal MRI tractography in dementia with Lewy bodies
2020-01-01 Pardini, Matteo; Nobili, Flavio; Arnaldi, Dario; Morbelli, Silvia; Bauckneht, Matteo; Rissotto, Roberto; Serrati, Carlo; Serafini, Gianluca; Lapucci, Caterina; Ghio, Lucio; Amore, Mario; Massucco, Davide; Sassos, Davide; Bonzano, Laura; Mancardi, Giovanni Luigi; Roccatagliata, Luca
18F-FDG PET/CT Maximum Tumor Dissemination (Dmax) in Lymphoma: A New Prognostic Factor?
2023-01-01 Albano D.; Treglia G.; Dondi F.; Calabrò A.; Rizzo A.; Annunziata S.; Guerra L.; Morbelli S.; Tucci A.; Bertagna F.
18F-FDG-PET correlates of aging and disease course in ALS as revealed by distinct PVC approaches
2022-01-01 Ferraro P. M.; Campi C.; Miceli A.; Rolla-Bigliani C.; Bauckneht M.; Gualco L.; Piana M.; Marini C.; Castellan L.; Morbelli S.; Caponnetto C.; Sambuceti G.; Roccatagliata L.
18F-fluoro-2-deoxy-d-glucose (FDG) uptake. What are we looking at?
2021-01-01 Sambuceti G.; Cossu V.; Bauckneht M.; Morbelli S.; Orengo A. M.; Carta S.; Ravera S.; Bruno S.; Marini C.
18f-fluorodeoxyglucose positron emission tomography tracks the heterogeneous brain susceptibility to the hyperglycemia-related redox stress
2020-01-01 Miceli A.; Cossu V.; Marini C.; Castellani P.; Raffa S.; Donegani M. I.; Bruno S.; Ravera S.; Emionite L.; Orengo A. M.; Grillo F.; Nobili F.; Morbelli S.; Uccelli A.; Sambuceti G.; Bauckneht M.
2-[18 F]FDG PET in the Management of Radioiodine Refractory Differentiated Thyroid Cancer in the Era of Thyrosin-Kinases Inhibitors: A Real-Life Retrospective Study
2022-01-01 Gay S.; Raffa S.; De'Luca Di Pietralata A.; Bauckneht M.; Vera L.; Miceli A.; Albertelli M.; Morbelli S.; Giusti M.; Ferone D.
2-[18F]-FDG PET for imaging brain involvement in patients with long COVID: perspective of the EANM Neuroimaging Committee
2022-01-01 Verger A.; Barthel H.; Tolboom N.; Fraioli F.; Cecchin D.; Albert N.L.; van Berckel B.; Boellaard R.; Brendel M.; Ekmekcioglu O.; Semah F.; Traub-Weidinger T.; van de Weehaeghe D.; Morbelli S.; Guedj E.
[18F]DOPA PET for lesion definition and contouring using different thresholds in patients with gliomas
2024-01-01 GARELLI, Gloria; ROVERA, Guido; LEVIS, Mario; LESCA, Adriana; PELLERINO, Alessia; BRUNO, Francesco; AGOSTI, Alessandra; MANGIA, Maria L.; CIOFFI, Martina; COCCARELLI, Alessandro; MORANA, Giovanni; RICARDI, Umberto; RUDÀ, Roberta; MORBELLI, Silvia; ZOTTA, Michela
[18F]FDG PET-TC radiomics and machine learning in the evaluation of prostate incidental uptake
2023-01-01 Nieri A.; Manco L.; Bauckneht M.; Urso L.; Caracciolo M.; Donegani M.I.; Borgia F.; Vega K.; Colella A.; Ippolito C.; Cittanti C.; Morbelli S.; Sambuceti G.; Turra A.; Panareo S.; Bartolomei M.
A 3D deep learning model to predict the diagnosis of dementia with Lewy bodies, Alzheimer’s disease, and mild cognitive impairment using brain 18F-FDG PET
2022-01-01 Etminani K.; Soliman A.; Davidsson A.; Chang J. R.; Martinez-Sanchis B.; Byttner S.; Camacho V.; Bauckneht M.; Stegeran R.; Ressner M.; Agudelo-Cifuentes M.; Chincarini A.; Brendel M.; Rominger A.; Bruffaerts R.; Vandenberghe R.; Kramberger M. G.; Trost M.; Nicastro N.; Frisoni G. B.; Lemstra A. W.; van Berckel B. N. M.; Pilotto A.; Padovani A.; Morbelli S.; Aarsland D.; Nobili F.; Garibotto V.; Ochoa-Figueroa M.
A comparison of advanced semi-quantitative amyloid PET analysis methods
2022-01-01 Peira E.; Poggiali D.; Pardini M.; Barthel H.; Sabri O.; Morbelli S.; Cagnin A.; Chincarini A.; Cecchin D.
A comparison of two statistical mapping tools for automated brain fdg-pet analysis in predicting conversion to alzheimer’s disease in subjects with mild cognitive impairment
2020-01-01 Garibotto V.; Trombella S.; Antelmi L.; Bosco P.; Redolfi A.; Tabouret-Viaud C.; Rager O.; Gold G.; Giannakopoulos P.; Morbelli S.; Nobili F.; Perneczky R.; Didic M.; Guedj E.; Drzezga A.; Ossenkoppele R.; van Berckel B.; Ratib O.; Frisoni G. B.
A kinetics-based approach to amyloid PET semi-quantification
2020-01-01 Chincarini A.; Peira E.; Corosu M.; Morbelli S.; Bauckneht M.; Capitanio S.; Pardini M.; Arnaldi D.; Vellani C.; D'Ambrosio D.; Garibotto V.; Assal F.; Paghera B.; Savelli G.; Stefanelli A.; Guerra U. P.; Nobili F.
A new frontier for amyloid PET imaging: multiple sclerosis
2019-01-01 Morbelli, Silvia; Bauckneht, Matteo; Capitanio, Selene; Pardini, Matteo; Roccatagliata, Luca; Nobili, Flavio.
A PET/CT approach to spinal cord metabolism in amyotrophic lateral sclerosis
2016-01-01 Marini, Cecilia; Cistaro, Angelina; Campi, Cristina; Calvo, Andrea; Caponnetto, Claudia; Nobili, Flavio Mariano; Fania, Piercarlo; Beltrametti, Mauro C.; Moglia, Cristina; Novi, Giovanni; Buschiazzo, Ambra; Perasso, Annalisa; Canosa, Antonio; Scialò, Carlo; Pomposelli, Elena; Massone, Anna Maria; Bagnara, Maria Caludia; Cammarosano, Stefania; Bruzzi, Paolo; Morbelli, Silvia; Sambuceti, Gianmario; Mancardi, Gianluigi; Piana, Michele; Chio', Adriano
A Score-Based Approach to18F-FDG PET Images as a Tool to Describe Metabolic Predictors of Myocardial Doxorubicin Susceptibility
2017-01-01 Bauckneht, Matteo; Morbelli, Silvia; Fiz, Francesco; Ferrarazzo, Giulia; Piva, Roberta; Nieri, Alberto; Sarocchi, Matteo; Spallarossa, Paolo; Canepari, Maria Elisa; Arboscello, Eleonora; Bellodi, Andrea; Massaia, Massimo; Gallamini, Andrea; Bruzzi, Paolo; Marini, Cecilia; Sambuceti, Gianmario
Abnormal pattern of brain glucose metabolism in Parkinson's disease: replication in three European cohorts
2020-01-01 Meles, Sanne K; Renken, Remco J; Pagani, Marco; Teune, L K; Arnaldi, Dario; Morbelli, Silvia; Nobili, Flavio; van Laar, Teus; Obeso, Jose A; Rodríguez-Oroz, Maria C; Leenders, Klaus L
Accuracy and generalization capability of an automatic method for the detection of typical brain hypometabolism in prodromal Alzheimer disease
2019-01-01 De Carli, Fabrizio; Nobili, Flavio; Pagani, Marco; Bauckneht, Matteo; Massa, Federico; Grazzini, Matteo; Jonsson, Cathrine; Peira, Enrico; Morbelli, Silvia; Arnaldi, Dario.
Added value of semiquantitative analysis of brain FDG-PET for the differentiation between MCI-Lewy bodies and MCI due to Alzheimer’s disease
2022-01-01 Massa F.; Chincarini A.; Bauckneht M.; Raffa S.; Peira E.; Arnaldi D.; Pardini M.; Pagani M.; Orso B.; Donegani M. I.; Brugnolo A.; Biassoni E.; Mattioli P.; Girtler N.; Guerra U. P.; Morbelli S.; Nobili F.
Adopting transfer learning for neuroimaging: a comparative analysis with a custom 3D convolution neural network model
2022-01-01 Soliman A.; Chang J. R.; Etminani K.; Byttner S.; Davidsson A.; Martinez-Sanchis B.; Camacho V.; Bauckneht M.; Stegeran R.; Ressner M.; Agudelo-Cifuentes M.; Chincarini A.; Brendel M.; Rominger A.; Bruffaerts R.; Vandenberghe R.; Kramberger M. G.; Trost M.; Nicastro N.; Frisoni G. B.; Lemstra A. W.; Berckel B. N. M.; Pilotto A.; Padovani A.; Morbelli S.; Aarsland D.; Nobili F.; Garibotto V.; Ochoa-Figueroa M.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| 123I-FP-CIT SPECT validation of nigro-putaminal MRI tractography in dementia with Lewy bodies | 2020 | Pardini, Matteo; Nobili, Flavio; Arnaldi, Dario; Morbelli, Silvia; Bauckneht, Matteo; Rissotto, Roberto; Serrati, Carlo; Serafini, Gianluca; Lapucci, Caterina; Ghio, Lucio; Amore, Mario; Massucco, Davide; Sassos, Davide; Bonzano, Laura; Mancardi, Giovanni Luigi; Roccatagliata, Luca | |
| 18F-FDG PET/CT Maximum Tumor Dissemination (Dmax) in Lymphoma: A New Prognostic Factor? | 2023 | Albano D.; Treglia G.; Dondi F.; Calabrò A.; Rizzo A.; Annunziata S.; Guerra L.; Morbelli S.; Tucci A.; Bertagna F. | |
| 18F-FDG-PET correlates of aging and disease course in ALS as revealed by distinct PVC approaches | 2022 | Ferraro P. M.; Campi C.; Miceli A.; Rolla-Bigliani C.; Bauckneht M.; Gualco L.; Piana M.; Marini C.; Castellan L.; Morbelli S.; Caponnetto C.; Sambuceti G.; Roccatagliata L. | |
| 18F-fluoro-2-deoxy-d-glucose (FDG) uptake. What are we looking at? | 2021 | Sambuceti G.; Cossu V.; Bauckneht M.; Morbelli S.; Orengo A. M.; Carta S.; Ravera S.; Bruno S.; Marini C. | |
| 18f-fluorodeoxyglucose positron emission tomography tracks the heterogeneous brain susceptibility to the hyperglycemia-related redox stress | 2020 | Miceli A.; Cossu V.; Marini C.; Castellani P.; Raffa S.; Donegani M. I.; Bruno S.; Ravera S.; Emionite L.; Orengo A. M.; Grillo F.; Nobili F.; Morbelli S.; Uccelli A.; Sambuceti G.; Bauckneht M. | |
| 2-[18 F]FDG PET in the Management of Radioiodine Refractory Differentiated Thyroid Cancer in the Era of Thyrosin-Kinases Inhibitors: A Real-Life Retrospective Study | 2022 | Gay S.; Raffa S.; De'Luca Di Pietralata A.; Bauckneht M.; Vera L.; Miceli A.; Albertelli M.; Morbelli S.; Giusti M.; Ferone D. | |
| 2-[18F]-FDG PET for imaging brain involvement in patients with long COVID: perspective of the EANM Neuroimaging Committee | 2022 | Verger A.; Barthel H.; Tolboom N.; Fraioli F.; Cecchin D.; Albert N.L.; van Berckel B.; Boellaard R.; Brendel M.; Ekmekcioglu O.; Semah F.; Traub-Weidinger T.; van de Weehaeghe D.; Morbelli S.; Guedj E. | |
| [18F]DOPA PET for lesion definition and contouring using different thresholds in patients with gliomas | 2024 | GARELLI, Gloria; ROVERA, Guido; LEVIS, Mario; LESCA, Adriana; PELLERINO, Alessia; BRUNO, Francesco; AGOSTI, Alessandra; MANGIA, Maria L.; CIOFFI, Martina; COCCARELLI, Alessandro; MORANA, Giovanni; RICARDI, Umberto; RUDÀ, Roberta; MORBELLI, Silvia; ZOTTA, Michela | |
| [18F]FDG PET-TC radiomics and machine learning in the evaluation of prostate incidental uptake | 2023 | Nieri A.; Manco L.; Bauckneht M.; Urso L.; Caracciolo M.; Donegani M.I.; Borgia F.; Vega K.; Colella A.; Ippolito C.; Cittanti C.; Morbelli S.; Sambuceti G.; Turra A.; Panareo S.; Bartolomei M. | |
| A 3D deep learning model to predict the diagnosis of dementia with Lewy bodies, Alzheimer’s disease, and mild cognitive impairment using brain 18F-FDG PET | 2022 | Etminani K.; Soliman A.; Davidsson A.; Chang J. R.; Martinez-Sanchis B.; Byttner S.; Camacho V.; Bauckneht M.; Stegeran R.; Ressner M.; Agudelo-Cifuentes M.; Chincarini A.; Brendel M.; Rominger A.; Bruffaerts R.; Vandenberghe R.; Kramberger M. G.; Trost M.; Nicastro N.; Frisoni G. B.; Lemstra A. W.; van Berckel B. N. M.; Pilotto A.; Padovani A.; Morbelli S.; Aarsland D.; Nobili F.; Garibotto V.; Ochoa-Figueroa M. | |
| A comparison of advanced semi-quantitative amyloid PET analysis methods | 2022 | Peira E.; Poggiali D.; Pardini M.; Barthel H.; Sabri O.; Morbelli S.; Cagnin A.; Chincarini A.; Cecchin D. | |
| A comparison of two statistical mapping tools for automated brain fdg-pet analysis in predicting conversion to alzheimer’s disease in subjects with mild cognitive impairment | 2020 | Garibotto V.; Trombella S.; Antelmi L.; Bosco P.; Redolfi A.; Tabouret-Viaud C.; Rager O.; Gold G.; Giannakopoulos P.; Morbelli S.; Nobili F.; Perneczky R.; Didic M.; Guedj E.; Drzezga A.; Ossenkoppele R.; van Berckel B.; Ratib O.; Frisoni G. B. | |
| A kinetics-based approach to amyloid PET semi-quantification | 2020 | Chincarini A.; Peira E.; Corosu M.; Morbelli S.; Bauckneht M.; Capitanio S.; Pardini M.; Arnaldi D.; Vellani C.; D'Ambrosio D.; Garibotto V.; Assal F.; Paghera B.; Savelli G.; Stefanelli A.; Guerra U. P.; Nobili F. | |
| A new frontier for amyloid PET imaging: multiple sclerosis | 2019 | Morbelli, Silvia; Bauckneht, Matteo; Capitanio, Selene; Pardini, Matteo; Roccatagliata, Luca; Nobili, Flavio. | |
| A PET/CT approach to spinal cord metabolism in amyotrophic lateral sclerosis | 2016 | Marini, Cecilia; Cistaro, Angelina; Campi, Cristina; Calvo, Andrea; Caponnetto, Claudia; Nobili, Flavio Mariano; Fania, Piercarlo; Beltrametti, Mauro C.; Moglia, Cristina; Novi, Giovanni; Buschiazzo, Ambra; Perasso, Annalisa; Canosa, Antonio; Scialò, Carlo; Pomposelli, Elena; Massone, Anna Maria; Bagnara, Maria Caludia; Cammarosano, Stefania; Bruzzi, Paolo; Morbelli, Silvia; Sambuceti, Gianmario; Mancardi, Gianluigi; Piana, Michele; Chio', Adriano | |
| A Score-Based Approach to18F-FDG PET Images as a Tool to Describe Metabolic Predictors of Myocardial Doxorubicin Susceptibility | 2017 | Bauckneht, Matteo; Morbelli, Silvia; Fiz, Francesco; Ferrarazzo, Giulia; Piva, Roberta; Nieri, Alberto; Sarocchi, Matteo; Spallarossa, Paolo; Canepari, Maria Elisa; Arboscello, Eleonora; Bellodi, Andrea; Massaia, Massimo; Gallamini, Andrea; Bruzzi, Paolo; Marini, Cecilia; Sambuceti, Gianmario | |
| Abnormal pattern of brain glucose metabolism in Parkinson's disease: replication in three European cohorts | 2020 | Meles, Sanne K; Renken, Remco J; Pagani, Marco; Teune, L K; Arnaldi, Dario; Morbelli, Silvia; Nobili, Flavio; van Laar, Teus; Obeso, Jose A; Rodríguez-Oroz, Maria C; Leenders, Klaus L | |
| Accuracy and generalization capability of an automatic method for the detection of typical brain hypometabolism in prodromal Alzheimer disease | 2019 | De Carli, Fabrizio; Nobili, Flavio; Pagani, Marco; Bauckneht, Matteo; Massa, Federico; Grazzini, Matteo; Jonsson, Cathrine; Peira, Enrico; Morbelli, Silvia; Arnaldi, Dario. | |
| Added value of semiquantitative analysis of brain FDG-PET for the differentiation between MCI-Lewy bodies and MCI due to Alzheimer’s disease | 2022 | Massa F.; Chincarini A.; Bauckneht M.; Raffa S.; Peira E.; Arnaldi D.; Pardini M.; Pagani M.; Orso B.; Donegani M. I.; Brugnolo A.; Biassoni E.; Mattioli P.; Girtler N.; Guerra U. P.; Morbelli S.; Nobili F. | |
| Adopting transfer learning for neuroimaging: a comparative analysis with a custom 3D convolution neural network model | 2022 | Soliman A.; Chang J. R.; Etminani K.; Byttner S.; Davidsson A.; Martinez-Sanchis B.; Camacho V.; Bauckneht M.; Stegeran R.; Ressner M.; Agudelo-Cifuentes M.; Chincarini A.; Brendel M.; Rominger A.; Bruffaerts R.; Vandenberghe R.; Kramberger M. G.; Trost M.; Nicastro N.; Frisoni G. B.; Lemstra A. W.; Berckel B. N. M.; Pilotto A.; Padovani A.; Morbelli S.; Aarsland D.; Nobili F.; Garibotto V.; Ochoa-Figueroa M. |