Alessandro Stefano
Orcid: 0000-0002-7189-1731
According to our database1,
Alessandro Stefano
authored at least 27 papers
between 2013 and 2023.
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Bibliography
2023
Radiomics Analyses to Predict Histopathology in Patients with Metastatic Testicular Germ Cell Tumors before Post-Chemotherapy Retroperitoneal Lymph Node Dissection.
J. Imaging, 2023
CT Rendering and Radiomic Analysis in Post-Chemotherapy Retroperitoneal Lymph Node Dissection for Testicular Cancer to Anticipate Difficulties for Young Surgeons.
J. Imaging, 2023
Prediction of High Pathological Grade in Prostate Cancer Patients Undergoing [<sup>18</sup>F]-PSMA PET/CT: A Preliminary Radiomics Study.
Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023
2022
matRadiomics: A Novel and Complete Radiomics Framework, from Image Visualization to Predictive Model.
J. Imaging, 2022
A New Preclinical Decision Support System Based on PET Radiomics: A Preliminary Study on the Evaluation of an Innovative 64Cu-Labeled Chelator in Mouse Models.
J. Imaging, 2022
Automatic Liver Segmentation in Pre-TIPS Cirrhotic Patients: A Preliminary Step for Radiomics Studies.
Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022
matRadiomics: From Biomedical Image Visualization to Predictive Model Implementation.
Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022
MRI-Based Radiomics Analysis for Identification of Features Correlated with the Expanded Disability Status Scale of Multiple Sclerosis Patients.
Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022
PET Images Atlas-Based Segmentation Performed in Native and in Template Space: A Radiomics Repeatability Study in Mouse Models.
Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022
Combining Convolutional Neural Networks and Anatomical Shape-Based Priors for Cardiac Segmentation.
Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022
2021
Customized Efficient Neural Network for COVID-19 Infected Region Identification in CT Images.
J. Imaging, 2021
2020
Lung Segmentation on High-Resolution Computerized Tomography Images Using Deep Learning: A Preliminary Step for Radiomics Studies.
J. Imaging, 2020
Development of a new fully three-dimensional methodology for tumours delineation in functional images.
Comput. Biol. Medicine, 2020
A preliminary PET radiomics study of brain metastases using a fully automatic segmentation method.
BMC Bioinform., 2020
Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
2019
Eng. Appl. Artif. Intell., 2019
Active contour algorithm with discriminant analysis for delineating tumors in positron emission tomography.
Artif. Intell. Medicine, 2019
Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019
Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019
2018
A smart and operator independent system to delineate tumours in Positron Emission Tomography scans.
Comput. Biol. Medicine, 2018
2017
An enhanced random walk algorithm for delineation of head and neck cancers in PET studies.
Medical Biol. Eng. Comput., 2017
A fully automatic approach for multimodal PET and MR image segmentation in gamma knife treatment planning.
Comput. Methods Programs Biomed., 2017
2016
A fully automatic method for biological target volume segmentation of brain metastases.
Int. J. Imaging Syst. Technol., 2016
2015
Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015
2013
A Graph-Based Method for PET Image Segmentation in Radiotherapy Planning: A Pilot Study.
Proceedings of the Image Analysis and Processing - ICIAP 2013, 2013