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Elisa Scalco

Showing results (1-10 of 30) with videos related to

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The British Journal of Radiology|November 26, 2016
Texture analysis of medical images for radiotherapy applicationsElisa Scalco, Giovanna Rizzo
Physics in Medicine and Biology|March 24, 2022
The stability of oncologic MRI radiomic features and the potential role of deep learning: a reviewElisa Scalco, Giovanna Rizzo, Alfonso Mastropietro
Computers in Biology and Medicine|January 20, 2023
The quantification of IntraVoxel incoherent motion - MRI maps cannot preserve texture information: An evaluation based on simulated and in-vivo imagesElisa Scalco, Giovanna Rizzo, Alfonso Mastropietro
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Automatic Feature Construction Based on Genetic Programming for Survival Prediction in Lung Cancer Using CT ImagesElisa Scalco, Giovanna Rizzo, Wilfrido Gomez-Flores
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|April 11, 2025
Leveraging deep learning for improving parameter extraction from perfusion MR images: A narrative reviewElisa Scalco, Giovanna Rizzo, Nicola Bertolino, et al.
Medical Physics|May 29, 2024
Uncertainty quantification in multi-class segmentation: Comparison between Bayesian and non-Bayesian approaches in a clinical perspectiveElisa Scalco, Silvia Pozzi, Giovanna Rizzo, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Segmentation Variability in Bayesian U-Net versus Manual Annotations: Impact on Radiomic Reproducibility in Lung Tumor CT ImagesRossella Damiano, Alessandro Merli, Ettore Lanzarone, et al.
NMR in Biomedicine|December 30, 2019
A novel bayesian approach with conditional autoregressive specification for intravoxel incoherent motion diffusion-weighted MRIEttore Lanzarone, Alfonso Mastropietro, Elisa Scalco, et al.
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|September 19, 2016
Characterization of cervical lymph-nodes using a multi-parametric and multi-modal approach for an early prediction of tumor response to chemo-radiotherapyElisa Scalco, Simona Marzi, Giuseppe Sanguineti, et al.
NMR in Biomedicine|May 19, 2022
A supervised deep neural network approach with standardized targets for enhanced accuracy of IVIM parameter estimation from multi-SNR imagesAlfonso Mastropietro, Daniel Procissi, Elisa Scalco, et al.
Pageof 3

Showing results (1-10 of 30) with videos related to

Sort By:
Pageof 3
The British Journal of Radiology|November 26, 2016
Texture analysis of medical images for radiotherapy applicationsElisa Scalco, Giovanna Rizzo
Physics in Medicine and Biology|March 24, 2022
The stability of oncologic MRI radiomic features and the potential role of deep learning: a reviewElisa Scalco, Giovanna Rizzo, Alfonso Mastropietro
Computers in Biology and Medicine|January 20, 2023
The quantification of IntraVoxel incoherent motion - MRI maps cannot preserve texture information: An evaluation based on simulated and in-vivo imagesElisa Scalco, Giovanna Rizzo, Alfonso Mastropietro
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Automatic Feature Construction Based on Genetic Programming for Survival Prediction in Lung Cancer Using CT ImagesElisa Scalco, Giovanna Rizzo, Wilfrido Gomez-Flores
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|April 11, 2025
Leveraging deep learning for improving parameter extraction from perfusion MR images: A narrative reviewElisa Scalco, Giovanna Rizzo, Nicola Bertolino, et al.
Medical Physics|May 29, 2024
Uncertainty quantification in multi-class segmentation: Comparison between Bayesian and non-Bayesian approaches in a clinical perspectiveElisa Scalco, Silvia Pozzi, Giovanna Rizzo, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Segmentation Variability in Bayesian U-Net versus Manual Annotations: Impact on Radiomic Reproducibility in Lung Tumor CT ImagesRossella Damiano, Alessandro Merli, Ettore Lanzarone, et al.
NMR in Biomedicine|December 30, 2019
A novel bayesian approach with conditional autoregressive specification for intravoxel incoherent motion diffusion-weighted MRIEttore Lanzarone, Alfonso Mastropietro, Elisa Scalco, et al.
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|September 19, 2016
Characterization of cervical lymph-nodes using a multi-parametric and multi-modal approach for an early prediction of tumor response to chemo-radiotherapyElisa Scalco, Simona Marzi, Giuseppe Sanguineti, et al.
NMR in Biomedicine|May 19, 2022
A supervised deep neural network approach with standardized targets for enhanced accuracy of IVIM parameter estimation from multi-SNR imagesAlfonso Mastropietro, Daniel Procissi, Elisa Scalco, et al.
Pageof 3