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Maria Francesca Spadea

Showing results (41-50 of 59) with videos related to

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Progress in Biomedical Engineering (Bristol, England)|December 10, 2024
Combining simulation models and machine learning in healthcare management: strategies and applicationsAlfonso Maria Ponsiglione, Paolo Zaffino, Carlo Ricciardi, et al.
Computers in Biology and Medicine|April 23, 2025
FedSynthCT-Brain: A federated learning framework for multi-institutional brain MRI-to-CT synthesisCiro Benito Raggio, Mathias Krohmer Zabaleta, Nils Skupien, et al.
Scientific Reports|November 29, 2025
Curvature-corrected retinal registration of diagnostic OCT with instrument-integrated OCTMarius Briel, Ludwig Haide, Michael Meyling, et al.
International Journal of Molecular Sciences|December 6, 2018
Innate Immunity Cells and the Neurovascular UnitIvan Presta, Marco Vismara, Fabiana Novellino, et al.
Advanced Healthcare Materials|March 22, 2025
Nano-Topography Enhanced Topological-Cell-Analysis in Radiation-TherapyFrancesca Pagliari, Maria-Francesca Spadea, Pierre Montay-Gruel, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|June 26, 2026
CT-based radiomics as a non-invasive virtual biopsy for high PD-L1 expression prediction in non-small cell lung cancerMichela Destito, Caterina Battaglia, Paolo Zaffino, et al.
Medical Physics|November 2, 2021
Clinical suitability of deep learning based synthetic CTs for adaptive proton therapy of lung cancerAdrian Thummerer, Carmen Seller Oria, Paolo Zaffino, et al.
Journal of Imaging|December 27, 2024
Toward Closing the Loop in Image-to-Image Conversion in Radiotherapy: A Quality Control Tool to Predict Synthetic Computed Tomography Hounsfield Unit AccuracyPaolo Zaffino, Ciro Benito Raggio, Adrian Thummerer, et al.
Radiation Oncology (London, England)|May 31, 2020
MR-guided proton therapy: a review and a previewAswin Hoffmann, Bradley Oborn, Maryam Moteabbed, et al.
Bioengineering (Basel, Switzerland)|March 29, 2023
Radiomics-Based Machine Learning Model for Predicting Overall and Progression-Free Survival in Rare Cancer: A Case Study for Primary CNS Lymphoma PatientsMichela Destito, Aldo Marzullo, Riccardo Leone, et al.
Pageof 6

Showing results (41-50 of 59) with videos related to

Sort By:
Pageof 6
Progress in Biomedical Engineering (Bristol, England)|December 10, 2024
Combining simulation models and machine learning in healthcare management: strategies and applicationsAlfonso Maria Ponsiglione, Paolo Zaffino, Carlo Ricciardi, et al.
Computers in Biology and Medicine|April 23, 2025
FedSynthCT-Brain: A federated learning framework for multi-institutional brain MRI-to-CT synthesisCiro Benito Raggio, Mathias Krohmer Zabaleta, Nils Skupien, et al.
Scientific Reports|November 29, 2025
Curvature-corrected retinal registration of diagnostic OCT with instrument-integrated OCTMarius Briel, Ludwig Haide, Michael Meyling, et al.
International Journal of Molecular Sciences|December 6, 2018
Innate Immunity Cells and the Neurovascular UnitIvan Presta, Marco Vismara, Fabiana Novellino, et al.
Advanced Healthcare Materials|March 22, 2025
Nano-Topography Enhanced Topological-Cell-Analysis in Radiation-TherapyFrancesca Pagliari, Maria-Francesca Spadea, Pierre Montay-Gruel, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|June 26, 2026
CT-based radiomics as a non-invasive virtual biopsy for high PD-L1 expression prediction in non-small cell lung cancerMichela Destito, Caterina Battaglia, Paolo Zaffino, et al.
Medical Physics|November 2, 2021
Clinical suitability of deep learning based synthetic CTs for adaptive proton therapy of lung cancerAdrian Thummerer, Carmen Seller Oria, Paolo Zaffino, et al.
Journal of Imaging|December 27, 2024
Toward Closing the Loop in Image-to-Image Conversion in Radiotherapy: A Quality Control Tool to Predict Synthetic Computed Tomography Hounsfield Unit AccuracyPaolo Zaffino, Ciro Benito Raggio, Adrian Thummerer, et al.
Radiation Oncology (London, England)|May 31, 2020
MR-guided proton therapy: a review and a previewAswin Hoffmann, Bradley Oborn, Maryam Moteabbed, et al.
Bioengineering (Basel, Switzerland)|March 29, 2023
Radiomics-Based Machine Learning Model for Predicting Overall and Progression-Free Survival in Rare Cancer: A Case Study for Primary CNS Lymphoma PatientsMichela Destito, Aldo Marzullo, Riccardo Leone, et al.
Pageof 6