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European Radiology Experimental|November 19, 2024
Image biomarkers and explainable AI: handcrafted features versus deep learned featuresLeonardo Rundo, Carmelo MilitelloJournal of Imaging|November 25, 2021
Advanced Computational Methods for Oncological Image AnalysisLeonardo Rundo, Carmelo Militello, Vincenzo Conti, et al.Computers in Biology and Medicine|May 14, 2015
A fully automatic 2D segmentation method for uterine fibroid in MRgFUS treatment evaluationCarmelo Militello, Salvatore Vitabile, Leonardo Rundo, et al.Journal of Imaging|August 30, 2021
A Computational Study on Temperature Variations in MRgFUS Treatments Using PRF Thermometry Techniques and Optical ProbesCarmelo Militello, Leonardo Rundo, Fabrizio Vicari, et al.Medical & Biological Engineering & Computing|November 5, 2015
Combining split-and-merge and multi-seed region growing algorithms for uterine fibroid segmentation in MRgFUS treatmentsLeonardo Rundo, Carmelo Militello, Salvatore Vitabile, et al.Scientific Reports|February 3, 2021
A quantum-inspired classifier for clonogenic assay evaluationsGiuseppe Sergioli, Carmelo Militello, Leonardo Rundo, et al.Academic Radiology|October 3, 2021
3D DCE-MRI Radiomic Analysis for Malignant Lesion Prediction in Breast Cancer PatientsCarmelo Militello, Leonardo Rundo, Mariangela Dimarco, et al.Computers in Biology and Medicine|September 9, 2017
Area-based cell colony surviving fraction evaluation: A novel fully automatic approach using general-purpose acquisition hardwareCarmelo Militello, Leonardo Rundo, Vincenzo Conti, et al.Computer Methods and Programs in Biomedicine|June 16, 2019
A novel framework for MR image segmentation and quantification by using MedGALeonardo Rundo, Andrea Tangherloni, Paolo Cazzaniga, et al.Computers in Biology and Medicine|September 16, 2019
A semi-automatic approach for epicardial adipose tissue segmentation and quantification on cardiac CT scansCarmelo Militello, Leonardo Rundo, Patrizia Toia, et al.Pageof 11