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Journal of Imaging|August 30, 2021
Fully 3D Active Surface with Machine Learning for PET Image SegmentationAlbert ComelliJournal of Imaging|August 30, 2021
Customized Efficient Neural Network for COVID-19 Infected Region Identification in CT ImagesAlessandro Stefano, Albert ComelliJournal of Imaging|November 25, 2021
A Radioactive-Free Method for the Thorough Analysis of the Kinetics of Cell CytotoxicityClaudia Coronnello, Rosalia Busà, Luca Cicero, et al.Journal of Imaging|August 25, 2022
matRadiomics: A Novel and Complete Radiomics Framework, from Image Visualization to Predictive ModelGiovanni Pasini, Fabiano Bini, Giorgio Russo, et al.Journal of Imaging|August 30, 2021
Lung Segmentation on High-Resolution Computerized Tomography Images Using Deep Learning: A Preliminary Step for Radiomics StudiesAlbert Comelli, Claudia Coronnello, Navdeep Dahiya, et al.Journal of Imaging|February 25, 2025
Applications of Artificial Intelligence, Deep Learning, and Machine Learning to Support the Analysis of Microscopic Images of Cells and TissuesMuhammad Ali, Viviana Benfante, Ghazal Basirinia, 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.Journal of Imaging|October 27, 2023
Radiomics Analyses to Predict Histopathology in Patients with Metastatic Testicular Germ Cell Tumors before Post-Chemotherapy Retroperitoneal Lymph Node DissectionAnna Scavuzzo, Giovanni Pasini, Elisabetta Crescio, et al.Journal of Imaging|April 21, 2022
A New Preclinical Decision Support System Based on PET Radiomics: A Preliminary Study on the Evaluation of an Innovative <sup>64</sup>Cu-Labeled Chelator in Mouse ModelsViviana Benfante, Alessandro Stefano, Albert Comelli, et al.Pageof 1