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Albert Comelli

Showing results (41-50 of 60) with videos related to

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World Journal of Surgery|November 18, 2017
Vacuum-Assisted Wound Closure with Mesh-Mediated Fascial Traction Achieves Better Outcomes than Vacuum-Assisted Wound Closure Alone: A Comparative StudyGiuseppe Salamone, Leo Licari, Giovanni Guercio, et al.
Current Radiopharmaceuticals|June 23, 2020
Artificial Neural Networks in Cardiovascular Diseases and its Potential for Clinical Application in Molecular ImagingRiccardo Laudicella, Albert Comelli, Alessandro Stefano, 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)|March 29, 2026
Predictive role of Bladder wall dosimetry in conventional prostate Radiotherapy: Integrating AI and statistical ModellingAntonio Piras, Davide Cusumano, Tommaso Angileri, et al.
The British Journal of Radiology|September 30, 2021
Diagnostic performance of qualitative and radiomics approach to parotid gland tumors: which is the added benefit of texture analysis?Federica Vernuccio, Federica Arnone, Roberto Cannella, et al.
European Radiology|January 14, 2021
Radiomics analysis of 18F-Choline PET/CT in the prediction of disease outcome in high-risk prostate cancer: an explorative study on machine learning feature classification in 94 patientsPierpaolo Alongi, Alessandro Stefano, Albert Comelli, et al.
Life (Basel, Switzerland)|April 26, 2025
An Update on DOTA-Peptides PET Imaging and Potential Advancements of Radioligand Therapy in Intracranial MeningiomasViviana Benfante, Ignazio Gaspare Vetrano, Muhammad Ali, et al.
Diagnostics (Basel, Switzerland)|December 22, 2023
A Critical Analysis of the Robustness of Radiomics to Variations in Segmentation Methods in <sup>18</sup>F-PSMA-1007 PET Images of Patients Affected by Prostate CancerGiovanni Pasini, Giorgio Russo, Cristina Mantarro, et al.
Current Problems in Diagnostic Radiology|July 28, 2021
Deep Learning Network for Segmentation of the Prostate Gland With Median Lobe Enlargement in T2-weighted MR Images: Comparison With Manual Segmentation MethodGiuseppe Salvaggio, Albert Comelli, Marzia Portoghese, et al.
Journal of Imaging|August 30, 2021
Radiomics and Prostate MRI: Current Role and Future ApplicationsGiuseppe Cutaia, Giuseppe La Tona, Albert Comelli, et al.
Current Oncology (Toronto, Ont.)|December 23, 2021
Feasibility on the Use of Radiomics Features of 11[C]-MET PET/CT in Central Nervous System Tumours: Preliminary Results on Potential Grading Discrimination Using a Machine Learning ModelGiorgio Russo, Alessandro Stefano, Pierpaolo Alongi, et al.
Pageof 6

Showing results (41-50 of 60) with videos related to

Sort By:
Pageof 6
World Journal of Surgery|November 18, 2017
Vacuum-Assisted Wound Closure with Mesh-Mediated Fascial Traction Achieves Better Outcomes than Vacuum-Assisted Wound Closure Alone: A Comparative StudyGiuseppe Salamone, Leo Licari, Giovanni Guercio, et al.
Current Radiopharmaceuticals|June 23, 2020
Artificial Neural Networks in Cardiovascular Diseases and its Potential for Clinical Application in Molecular ImagingRiccardo Laudicella, Albert Comelli, Alessandro Stefano, 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)|March 29, 2026
Predictive role of Bladder wall dosimetry in conventional prostate Radiotherapy: Integrating AI and statistical ModellingAntonio Piras, Davide Cusumano, Tommaso Angileri, et al.
The British Journal of Radiology|September 30, 2021
Diagnostic performance of qualitative and radiomics approach to parotid gland tumors: which is the added benefit of texture analysis?Federica Vernuccio, Federica Arnone, Roberto Cannella, et al.
European Radiology|January 14, 2021
Radiomics analysis of 18F-Choline PET/CT in the prediction of disease outcome in high-risk prostate cancer: an explorative study on machine learning feature classification in 94 patientsPierpaolo Alongi, Alessandro Stefano, Albert Comelli, et al.
Life (Basel, Switzerland)|April 26, 2025
An Update on DOTA-Peptides PET Imaging and Potential Advancements of Radioligand Therapy in Intracranial MeningiomasViviana Benfante, Ignazio Gaspare Vetrano, Muhammad Ali, et al.
Diagnostics (Basel, Switzerland)|December 22, 2023
A Critical Analysis of the Robustness of Radiomics to Variations in Segmentation Methods in <sup>18</sup>F-PSMA-1007 PET Images of Patients Affected by Prostate CancerGiovanni Pasini, Giorgio Russo, Cristina Mantarro, et al.
Current Problems in Diagnostic Radiology|July 28, 2021
Deep Learning Network for Segmentation of the Prostate Gland With Median Lobe Enlargement in T2-weighted MR Images: Comparison With Manual Segmentation MethodGiuseppe Salvaggio, Albert Comelli, Marzia Portoghese, et al.
Journal of Imaging|August 30, 2021
Radiomics and Prostate MRI: Current Role and Future ApplicationsGiuseppe Cutaia, Giuseppe La Tona, Albert Comelli, et al.
Current Oncology (Toronto, Ont.)|December 23, 2021
Feasibility on the Use of Radiomics Features of 11[C]-MET PET/CT in Central Nervous System Tumours: Preliminary Results on Potential Grading Discrimination Using a Machine Learning ModelGiorgio Russo, Alessandro Stefano, Pierpaolo Alongi, et al.
Pageof 6