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Biomedical Physics & Engineering Express|February 9, 2022
D-optimal design of b-values for precise intra-voxel incoherent motion imagingMario Sansone, Roberta Fusco, Antonella Petrillo
Magma (New York, N.Y.)|September 28, 2016
A comparison of fitting algorithms for diffusion-weighted MRI data analysis using an intravoxel incoherent motion modelRoberta Fusco, Mario Sansone, Antonella Petrillo
Breast Cancer (Tokyo, Japan)|September 21, 2014
Breast contrast-enhanced MR imaging: semiautomatic detection of vascular mapRoberta Fusco, Mario Sansone, Salvatore Filice, et al.
Medical & Biological Engineering & Computing|November 4, 2010
An expectation-maximisation approach for simultaneous pixel classification and tracer kinetic modelling in dynamic contrast enhanced-magnetic resonance imagingMario Sansone, Roberta Fusco, Antonella Petrillo, et al.
European Radiology Experimental|February 7, 2020
Textural radiomic features and time-intensity curve data analysis by dynamic contrast-enhanced MRI for early prediction of breast cancer therapy response: preliminary dataRoberta Fusco, Vincenza Granata, Francesca Maio, et al.
Infectious Agents and Cancer|November 3, 2017
A systematic review on multiparametric MR imaging in prostate cancer detectionRoberta Fusco, Mario Sansone, Vincenza Granata, et al.
European Radiology Experimental|May 1, 2018
Breast DCE-MRI: lesion classification using dynamic and morphological features by means of a multiple classifier systemRoberta Fusco, Massimiliano Di Marzo, Carlo Sansone, et al.
Radiology and Oncology|September 30, 2017
Magnetic Resonance Imaging Evaluation in Neoadjuvant Therapy of Locally Advanced Rectal Cancer: A Systematic ReviewRoberta Fusco, Mario Petrillo, Vincenza Granata, et al.
Journal of Medical and Biological Engineering|September 23, 2016
Pattern Recognition Approaches for Breast Cancer DCE-MRI Classification: A Systematic ReviewRoberta Fusco, Mario Sansone, Salvatore Filice, et al.
IEEE Journal of Biomedical and Health Informatics|August 14, 2024
A Physiological-Informed Generative Model for Improving Breast Lesion Classification in Small DCE-MRI DatasetsMichela Gravina, Massimo Maddaluno, Stefano Marrone, et al.
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