SCALCO, ELISA
SCALCO, ELISA
Istituto di Tecnologie Biomediche - ITB
A 3-D ranklet-based texture analysis approach to classify breast tumors in DCE-MRI volumes
2025 Gómez-Flores, W.; Scalco, E.; Arce, F.
Automatically Measuring Kidney, Liver, and Cyst Volumes in Autosomal Dominant Polycystic Kidney Disease
2025 Xiong, Qing; He, Xinzi; Scalco, Elisa; Pasini, Siria; Zhu, Chenglin; Moghadam, Mina C.; Sattar, Usama; Davoudi, Vahid; Bazojoo, Vahid; Dev, Hreedi; Shen, Mengjun; Hu, Zhongxiu; Shih, Sophie; Prince, Serena J.; Blumenfeld, Jon D.; Min, Robert J.; Chevalier, James M.; Shimonov, Daniil; Lepping, Rebecca J.; Yu, Alan S. L.; Sabuncu, Mert R.; Caroli, Anna; Prince, Martin R.
Integrating Uncertainty Into U-Net Robustness Evaluation Under Natural MRI Alterations: Application to Kidney Segmentation
2025 Damiano, Rossella; Scalco, Elisa; L., Della Vedova Marco; Arrigoni, Alberto; Caroli, Anna; Bombarda, Andrea; Lanzarone, Ettore
Leveraging deep learning for improving parameter extraction from perfusion MR images: A narrative review
2025 Scalco, Elisa; Rizzo, Giovanna; Bertolino, Nicola; Mastropietro, Alfonso
Predictive value of tumoral and peritumoral radiomic features in neoadjuvant chemotherapy response for breast cancer: a retrospective study
2025 Pesapane, F.; Rotili, A.; Scalco, E.; Pupo, D.; Carriero, S.; Corso, F.; De Marco, P.; Origgi, D.; Nicosia, L.; Ferrari, F.; Penco, S.; Pizzamiglio, M.; Rizzo, G.; Cassano, E.
Reliability of radiomic analysis on multiparametric MRI for patients affected by autosomal dominant polycystic kidney disease
2025 Lussana, Francesca; Lanzarone, Ettore; Villa, Giulia; Mastropietro, Alfonso; Caroli, Anna; Scalco, Elisa
Segmentation Variability in Bayesian U-Net versus Manual Annotations: Impact on Radiomic Reproducibility in Lung Tumor CT Images
2025 Damiano, Rossella; Merli, Alessandro; Lanzarone, Ettore; Scalco, Elisa
The impact of uncertainty estimation on radiomic segmentation reproducibility and scan–rescan repeatability in kidney MRI
2025 Damiano, R.; Lanzarone, E.; Lussana, F.; Villa, G.; Daniel, A. J.; Francis, S.; Caroli, Anna; Scalco, E.
A Genetic Programming Approach to Radiomic-Based Feature Construction for Survival Prediction in Non-Small Cell Lung Cancer
2024 Scalco, Elisa; Gómez-Flores, Wilfrido; Rizzo, Giovanna
Methodological issues in radiomics: impact on accuracy of MRI for predicting response to neoadjuvant chemotherapy in breast cancer
2024 Netti, Sofia; D'Ecclesiis, Oriana; Corso, Federica; Botta, Francesca; Origgi, Daniela; Pesapane, Filippo; Agazzi, Giorgio Maria; Rotili, Anna; Gaeta, Aurora; Scalco, Elisa; Rizzo, Giovanna; Jereczek-Fossa, Barbara Alicja; Cassano, Enrico; Curigliano, Giuseppe; Gandini, Sara; Raimondi, Sara
Positional contrastive learning for improved thigh muscle segmentation in MR images
2024 Casali, Nicola; Scalco, Elisa; Taccogna, Maria Giovanna; Lauretani, Fulvio; Porcelli, Simone; Ciuni, Andrea; Mastropietro, Alfonso; Rizzo, Giovanna
The impact of segmentation uncertainty on radiomics reproducibility to segmentation and acquisition variability in kidney MRI
2024 Damiano, Rossella; Lussana, Francesca; Villa, Giulia; Caroli, Anna; Lanzarone, Ettore; Scalco, Elisa
Uncertainty quantification in multi‐class segmentation: Comparison between Bayesian and non‐Bayesian approaches in a clinical perspective
2024 Scalco, Elisa; Pozzi, Silvia; Rizzo, Giovanna; Lanzarone, Ettore
The quantification of IntraVoxel incoherent motion - MRI maps cannot preserve texture information: An evaluation based on simulated and in-vivo images
2023 Scalco, Elisa; Rizzo, Giovanna; Mastropietro, Alfonso
A Clustering Approach to Improve IntraVoxel Incoherent Motion Maps from DW-MRI Using Conditional Auto-Regressive Bayesian Model
2022 Scalco, Elisa; Mastropietro, Alfonso; Rizzo, Giovanna; Lanzarone, Ettore
A supervised deep neural network approach with standardized targets for enhanced accuracy of IVIM parameter estimation from multi-SNR images
2022 Mastropietro, Alfonso; Procissi, Daniel; Scalco, Elisa; Rizzo, Giovanna; Bertolino, Nicola
Automatic Feature Construction Based on Genetic Programming for Survival Prediction in Lung Cancer Using CT Images
2022 Scalco, E.; Rizzo, G.; Gomez-Flores, W.
The stability of oncologic MRI radiomic features and the potential role of deep learning: a review
2022 Scalco, Elisa; Rizzo, Giovanna; Mastropietro, Alfonso
A Multi-Variate framework to assess reliability and discrimination power of Bayesian estimation of Intravoxel Incoherent Motion parameters
2021 Scalco, E; Mastropietro, A; Bodini, A; Marzi, S; Rizzo, G
Theranostics in Boron Neutron Capture Therapy
2021 AG Sauerwein, Wolfgang; Sancey, Lucie; Hey-Hawkins, Evamarie; Kellert, Martin; Panza, Luigi; Imperio, Daniela; Balcerzyk, Marcin; Rizzo, Giovanna; Scalco, Elisa; Herrmann, Ken; Mauri, PIETRO LUIGI; DE PALMA, Antonella; Wittig, Andrea
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A 3-D ranklet-based texture analysis approach to classify breast tumors in DCE-MRI volumes | 1-gen-2025 | Gómez-Flores, W.; Scalco, E.; Arce, F. | |
| Automatically Measuring Kidney, Liver, and Cyst Volumes in Autosomal Dominant Polycystic Kidney Disease | 1-gen-2025 | Xiong, Qing; He, Xinzi; Scalco, Elisa; Pasini, Siria; Zhu, Chenglin; Moghadam, Mina C.; Sattar, Usama; Davoudi, Vahid; Bazojoo, Vahid; Dev, Hreedi; Shen, Mengjun; Hu, Zhongxiu; Shih, Sophie; Prince, Serena J.; Blumenfeld, Jon D.; Min, Robert J.; Chevalier, James M.; Shimonov, Daniil; Lepping, Rebecca J.; Yu, Alan S. L.; Sabuncu, Mert R.; Caroli, Anna; Prince, Martin R. | |
| Integrating Uncertainty Into U-Net Robustness Evaluation Under Natural MRI Alterations: Application to Kidney Segmentation | 1-gen-2025 | Damiano, Rossella; Scalco, Elisa; L., Della Vedova Marco; Arrigoni, Alberto; Caroli, Anna; Bombarda, Andrea; Lanzarone, Ettore | |
| Leveraging deep learning for improving parameter extraction from perfusion MR images: A narrative review | 1-gen-2025 | Scalco, Elisa; Rizzo, Giovanna; Bertolino, Nicola; Mastropietro, Alfonso | |
| Predictive value of tumoral and peritumoral radiomic features in neoadjuvant chemotherapy response for breast cancer: a retrospective study | 1-gen-2025 | Pesapane, F.; Rotili, A.; Scalco, E.; Pupo, D.; Carriero, S.; Corso, F.; De Marco, P.; Origgi, D.; Nicosia, L.; Ferrari, F.; Penco, S.; Pizzamiglio, M.; Rizzo, G.; Cassano, E. | |
| Reliability of radiomic analysis on multiparametric MRI for patients affected by autosomal dominant polycystic kidney disease | 1-gen-2025 | Lussana, Francesca; Lanzarone, Ettore; Villa, Giulia; Mastropietro, Alfonso; Caroli, Anna; Scalco, Elisa | |
| Segmentation Variability in Bayesian U-Net versus Manual Annotations: Impact on Radiomic Reproducibility in Lung Tumor CT Images | 1-gen-2025 | Damiano, Rossella; Merli, Alessandro; Lanzarone, Ettore; Scalco, Elisa | |
| The impact of uncertainty estimation on radiomic segmentation reproducibility and scan–rescan repeatability in kidney MRI | 1-gen-2025 | Damiano, R.; Lanzarone, E.; Lussana, F.; Villa, G.; Daniel, A. J.; Francis, S.; Caroli, Anna; Scalco, E. | |
| A Genetic Programming Approach to Radiomic-Based Feature Construction for Survival Prediction in Non-Small Cell Lung Cancer | 1-gen-2024 | Scalco, Elisa; Gómez-Flores, Wilfrido; Rizzo, Giovanna | |
| Methodological issues in radiomics: impact on accuracy of MRI for predicting response to neoadjuvant chemotherapy in breast cancer | 1-gen-2024 | Netti, Sofia; D'Ecclesiis, Oriana; Corso, Federica; Botta, Francesca; Origgi, Daniela; Pesapane, Filippo; Agazzi, Giorgio Maria; Rotili, Anna; Gaeta, Aurora; Scalco, Elisa; Rizzo, Giovanna; Jereczek-Fossa, Barbara Alicja; Cassano, Enrico; Curigliano, Giuseppe; Gandini, Sara; Raimondi, Sara | |
| Positional contrastive learning for improved thigh muscle segmentation in MR images | 1-gen-2024 | Casali, Nicola; Scalco, Elisa; Taccogna, Maria Giovanna; Lauretani, Fulvio; Porcelli, Simone; Ciuni, Andrea; Mastropietro, Alfonso; Rizzo, Giovanna | |
| The impact of segmentation uncertainty on radiomics reproducibility to segmentation and acquisition variability in kidney MRI | 1-gen-2024 | Damiano, Rossella; Lussana, Francesca; Villa, Giulia; Caroli, Anna; Lanzarone, Ettore; Scalco, Elisa | |
| Uncertainty quantification in multi‐class segmentation: Comparison between Bayesian and non‐Bayesian approaches in a clinical perspective | 1-gen-2024 | Scalco, Elisa; Pozzi, Silvia; Rizzo, Giovanna; Lanzarone, Ettore | |
| The quantification of IntraVoxel incoherent motion - MRI maps cannot preserve texture information: An evaluation based on simulated and in-vivo images | 1-gen-2023 | Scalco, Elisa; Rizzo, Giovanna; Mastropietro, Alfonso | |
| A Clustering Approach to Improve IntraVoxel Incoherent Motion Maps from DW-MRI Using Conditional Auto-Regressive Bayesian Model | 1-gen-2022 | Scalco, Elisa; Mastropietro, Alfonso; Rizzo, Giovanna; Lanzarone, Ettore | |
| A supervised deep neural network approach with standardized targets for enhanced accuracy of IVIM parameter estimation from multi-SNR images | 1-gen-2022 | Mastropietro, Alfonso; Procissi, Daniel; Scalco, Elisa; Rizzo, Giovanna; Bertolino, Nicola | |
| Automatic Feature Construction Based on Genetic Programming for Survival Prediction in Lung Cancer Using CT Images | 1-gen-2022 | Scalco, E.; Rizzo, G.; Gomez-Flores, W. | |
| The stability of oncologic MRI radiomic features and the potential role of deep learning: a review | 1-gen-2022 | Scalco, Elisa; Rizzo, Giovanna; Mastropietro, Alfonso | |
| A Multi-Variate framework to assess reliability and discrimination power of Bayesian estimation of Intravoxel Incoherent Motion parameters | 1-gen-2021 | Scalco, E; Mastropietro, A; Bodini, A; Marzi, S; Rizzo, G | |
| Theranostics in Boron Neutron Capture Therapy | 1-gen-2021 | AG Sauerwein, Wolfgang; Sancey, Lucie; Hey-Hawkins, Evamarie; Kellert, Martin; Panza, Luigi; Imperio, Daniela; Balcerzyk, Marcin; Rizzo, Giovanna; Scalco, Elisa; Herrmann, Ken; Mauri, PIETRO LUIGI; DE PALMA, Antonella; Wittig, Andrea |