ZAFFINO, PAOLO
ZAFFINO, PAOLO
Dipartimento di Medicina sperimentale e clinica
1276 poster RADIOTHERAPY OF HODGKIN LYMPHOMA: A NON-RIGID REGISTRATION BASED METHOD FOR SEMIAUTOMATIC CTV LOCALIZATION
2011-01-01 Spadea, M. F.; Travaini, L. L.; Zaffino, P.; Ferrari, M.; Orecchia, R.; Baroni, G.
A DEVICE ACQUIRING, DIGITIZING, AND SENDING THE RESULTS OF EVERY GLUCOMETER IN DIGITAL FORMAT FOR TELEMEDICINE PURPOSES
2016-01-01 Gnasso, A; Spadea, M; Scaramuzzino, S; Pileggi, G; Zaffino, P; Carallo, C
A novel atlas-selection approach for multiple atlas segmentation based on manifold learning and random forests using multi-scale image patches
2015-01-01 Raudasch, Pl; Fritscher, K; Zaffino, P; Sharp, Gc; Spadea, M; Schubert, R
A Review on Advances in Intra-operative Imaging for Surgery and Therapy: Imagining the Operating Room of the Future
2020-01-01 Zaffino, P.; Moccia, S.; De Momi, E.; Spadea, M. F.
Algorithms to Preprocess Microarray Image Data
2022-01-01 Zaffino, P.; Spadea, M. F.
An open-source covid-19 ct dataset with automatic lung tissue classification for radiomics
2021-01-01 Zaffino, P.; Marzullo, A.; Moccia, S.; Calimeri, F.; De Momi, E.; Bertucci, B.; Arcuri, P. P.; Spadea, M. F.
Artificial intelligence (AI)-assisted chest computer tomography (CT) insights: a study on intensive care unit (ICU) admittance trends in 78 coronavirus disease 2019 (COVID-19) patients
2024-01-01 Bumm, Rudolf; Zaffino, Paolo; Lasso, Andras; Estépar, Raúl San José; Pieper, Steven; Wasserthal, Jakob; Spadea, Maria Francesca; Latshang, Tsogyal; Kawel-Boehm, Nadine; Wäckerlin, Adrian; Werner, Raphael; Hässig, Gabriela; Furrer, Markus; Kikinis, Ron
Assessing vascular complexity of PAOD patients by deep learning-based segmentation and fractal dimension
2022-01-01 Bruno, P.; Spadea, M. F.; Scaramuzzino, S.; De Rosa, S.; Indolfi, C.; Gargiulo, G.; Giugliano, G.; Esposito, G.; Calimeri, F.; Zaffino, P.
ATLAS SELECTION STRATEGIES FOR MULTI ATLAS BASED SEGMENTATION ALGORITHM FOR HEAD AND NECK RADIOTHERAPY
2014-01-01 Zaffino, P; Fritscher, K; Peroni, M; Spadea, Mf; Schubert, R; Sharp, G
Atlas-based segmentation in breast cancer radiotherapy: Evaluation of specific and generic-purpose atlases
2017-01-01 Ciardo, D; Gerardi, Ma; Vigorito, S; Morra, A; Dell'Acqua, V; Diaz, Fj; Cattani, F; Zaffino, P; Ricotti, R; Spadea, M; Riboldi, M; Orecchia, R; Baroni, G; Leonardi, Mc; Jereczek-Fossa, Ba
Automatic segmentation of head and neck ct images for radiotherapy treatment planning using multiple atlases, statistical appearance models and geodesic active contours
2014-01-01 Fritscher, Kd; Peroni, M; Zaffino, P; Spadea, M; Schubert, R; Sharp, Gc
Clinical suitability of deep learning based synthetic CTs for adaptive proton therapy of lung cancer
2021-01-01 Thummerer, A.; Seller Oria, C.; Zaffino, P.; Meijers, A.; Guterres Marmitt, G.; Wijsman, R.; Seco, J.; Langendijk, J. A.; Knopf, A. -C.; Spadea, M. F.; Both, S.
Combining simulation models and machine learning in healthcare management: strategies and applications
2024-01-01 Ponsiglione, Alfonso Maria; Zaffino, Paolo; Ricciardi, Carlo; Di Laura, Danilo; Spadea, Maria Francesca; De Tommasi, Gianmaria; Improta, Giovanni; Romano, Maria; Amato, Francesco
Comparison of CBCT based synthetic CT methods for adaptive proton therapy
2020-01-01 Thummerer, A; Zaffino, P; Meijers, A; Marmitt, Gg; Seco, J; Steenbakkers, Rjhm; Langendijk, Ja; Both, S; Spadea, Mf; Knopf, Ac
Comparison of CBCT based synthetic CT methods suitable for proton dose calculations in adaptive proton therapy
2020-01-01 Thummerer, Adrian; Zaffino, Paolo; Meijers, Arturs; Guterres Marmitt, Gabriel; Seco, Joao; M Steenbakkers, Roel J H; A Langendijk, Johannes; Both, Stefan; Spadea, Maria Francesca; C Knopf, Antje
Comparison of the suitability of CBCT- and MR-based synthetic CTs for daily adaptive proton therapy in head and neck patients
2020-01-01 Thummerer, Adrian; de Jong, Bas A; Zaffino, Paolo; Meijers, Arturs; Marmitt, Gabriel Guterres; Seco, Joao; Steenbakkers, Roel J H M; Langendijk, Johannes A; Both, Stefan; Spadea, Maria F; Knopf, Antje C
CoroFinder: A New Tool for Real Time Detection and Tracking of Coronary Arteries in Contrast-Free Cine-Angiography
2022-01-01 Zaffino, P.; Spadea, M. F.; Indolfi, C.; De Rosa, S.
Deep Convolution Neural Network (DCNN) Multiplane Approach to Synthetic CT Generation From MR images—Application in Brain Proton Therapy
2019-01-01 Spadea, M. F.; Pileggi, G.; Zaffino, P.; Salome, P.; Catana, C.; Izquierdo-Garcia, D.; Amato, F.; Seco, J.
Deep learning based conversion of CBCT to synthetic CT for prostate radiotherapy
2020-01-01 Zaffino, P; Raso, R; Angiocchi, Mc; Merola, M; Canino, S; Nonnis, M; Bavasso, A; Mezzotero, C; Anoja, Ra; Mazzei, E; Spadea, Mf
Deep learning based synthetic-CT generation in radiotherapy and PET: A review
2021-01-01 Spadea, M. F.; Maspero, M.; Zaffino, P.; Seco, J.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| 1276 poster RADIOTHERAPY OF HODGKIN LYMPHOMA: A NON-RIGID REGISTRATION BASED METHOD FOR SEMIAUTOMATIC CTV LOCALIZATION | 1-gen-2011 | Spadea, M. F.; Travaini, L. L.; Zaffino, P.; Ferrari, M.; Orecchia, R.; Baroni, G. | |
| A DEVICE ACQUIRING, DIGITIZING, AND SENDING THE RESULTS OF EVERY GLUCOMETER IN DIGITAL FORMAT FOR TELEMEDICINE PURPOSES | 1-gen-2016 | Gnasso, A; Spadea, M; Scaramuzzino, S; Pileggi, G; Zaffino, P; Carallo, C | |
| A novel atlas-selection approach for multiple atlas segmentation based on manifold learning and random forests using multi-scale image patches | 1-gen-2015 | Raudasch, Pl; Fritscher, K; Zaffino, P; Sharp, Gc; Spadea, M; Schubert, R | |
| A Review on Advances in Intra-operative Imaging for Surgery and Therapy: Imagining the Operating Room of the Future | 1-gen-2020 | Zaffino, P.; Moccia, S.; De Momi, E.; Spadea, M. F. | |
| Algorithms to Preprocess Microarray Image Data | 1-gen-2022 | Zaffino, P.; Spadea, M. F. | |
| An open-source covid-19 ct dataset with automatic lung tissue classification for radiomics | 1-gen-2021 | Zaffino, P.; Marzullo, A.; Moccia, S.; Calimeri, F.; De Momi, E.; Bertucci, B.; Arcuri, P. P.; Spadea, M. F. | |
| Artificial intelligence (AI)-assisted chest computer tomography (CT) insights: a study on intensive care unit (ICU) admittance trends in 78 coronavirus disease 2019 (COVID-19) patients | 1-gen-2024 | Bumm, Rudolf; Zaffino, Paolo; Lasso, Andras; Estépar, Raúl San José; Pieper, Steven; Wasserthal, Jakob; Spadea, Maria Francesca; Latshang, Tsogyal; Kawel-Boehm, Nadine; Wäckerlin, Adrian; Werner, Raphael; Hässig, Gabriela; Furrer, Markus; Kikinis, Ron | |
| Assessing vascular complexity of PAOD patients by deep learning-based segmentation and fractal dimension | 1-gen-2022 | Bruno, P.; Spadea, M. F.; Scaramuzzino, S.; De Rosa, S.; Indolfi, C.; Gargiulo, G.; Giugliano, G.; Esposito, G.; Calimeri, F.; Zaffino, P. | |
| ATLAS SELECTION STRATEGIES FOR MULTI ATLAS BASED SEGMENTATION ALGORITHM FOR HEAD AND NECK RADIOTHERAPY | 1-gen-2014 | Zaffino, P; Fritscher, K; Peroni, M; Spadea, Mf; Schubert, R; Sharp, G | |
| Atlas-based segmentation in breast cancer radiotherapy: Evaluation of specific and generic-purpose atlases | 1-gen-2017 | Ciardo, D; Gerardi, Ma; Vigorito, S; Morra, A; Dell'Acqua, V; Diaz, Fj; Cattani, F; Zaffino, P; Ricotti, R; Spadea, M; Riboldi, M; Orecchia, R; Baroni, G; Leonardi, Mc; Jereczek-Fossa, Ba | |
| Automatic segmentation of head and neck ct images for radiotherapy treatment planning using multiple atlases, statistical appearance models and geodesic active contours | 1-gen-2014 | Fritscher, Kd; Peroni, M; Zaffino, P; Spadea, M; Schubert, R; Sharp, Gc | |
| Clinical suitability of deep learning based synthetic CTs for adaptive proton therapy of lung cancer | 1-gen-2021 | Thummerer, A.; Seller Oria, C.; Zaffino, P.; Meijers, A.; Guterres Marmitt, G.; Wijsman, R.; Seco, J.; Langendijk, J. A.; Knopf, A. -C.; Spadea, M. F.; Both, S. | |
| Combining simulation models and machine learning in healthcare management: strategies and applications | 1-gen-2024 | Ponsiglione, Alfonso Maria; Zaffino, Paolo; Ricciardi, Carlo; Di Laura, Danilo; Spadea, Maria Francesca; De Tommasi, Gianmaria; Improta, Giovanni; Romano, Maria; Amato, Francesco | |
| Comparison of CBCT based synthetic CT methods for adaptive proton therapy | 1-gen-2020 | Thummerer, A; Zaffino, P; Meijers, A; Marmitt, Gg; Seco, J; Steenbakkers, Rjhm; Langendijk, Ja; Both, S; Spadea, Mf; Knopf, Ac | |
| Comparison of CBCT based synthetic CT methods suitable for proton dose calculations in adaptive proton therapy | 1-gen-2020 | Thummerer, Adrian; Zaffino, Paolo; Meijers, Arturs; Guterres Marmitt, Gabriel; Seco, Joao; M Steenbakkers, Roel J H; A Langendijk, Johannes; Both, Stefan; Spadea, Maria Francesca; C Knopf, Antje | |
| Comparison of the suitability of CBCT- and MR-based synthetic CTs for daily adaptive proton therapy in head and neck patients | 1-gen-2020 | Thummerer, Adrian; de Jong, Bas A; Zaffino, Paolo; Meijers, Arturs; Marmitt, Gabriel Guterres; Seco, Joao; Steenbakkers, Roel J H M; Langendijk, Johannes A; Both, Stefan; Spadea, Maria F; Knopf, Antje C | |
| CoroFinder: A New Tool for Real Time Detection and Tracking of Coronary Arteries in Contrast-Free Cine-Angiography | 1-gen-2022 | Zaffino, P.; Spadea, M. F.; Indolfi, C.; De Rosa, S. | |
| Deep Convolution Neural Network (DCNN) Multiplane Approach to Synthetic CT Generation From MR images—Application in Brain Proton Therapy | 1-gen-2019 | Spadea, M. F.; Pileggi, G.; Zaffino, P.; Salome, P.; Catana, C.; Izquierdo-Garcia, D.; Amato, F.; Seco, J. | |
| Deep learning based conversion of CBCT to synthetic CT for prostate radiotherapy | 1-gen-2020 | Zaffino, P; Raso, R; Angiocchi, Mc; Merola, M; Canino, S; Nonnis, M; Bavasso, A; Mezzotero, C; Anoja, Ra; Mazzei, E; Spadea, Mf | |
| Deep learning based synthetic-CT generation in radiotherapy and PET: A review | 1-gen-2021 | Spadea, M. F.; Maspero, M.; Zaffino, P.; Seco, J. |