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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)|January 9, 2025
The application of radiomics in cancer imaging with a focus on lung cancer, renal cell carcinoma, gastrointestinal cancer, and head and neck cancer: A systematic reviewRoberta Fusco, Vincenza Granata, Sergio Venanzio Setola, et al.The Breast Journal|December 31, 2019
Digital breast tomosynthesis and contrast-enhanced dual-energy digital mammography alone and in combination compared to 2D digital synthetized mammography and MR imaging in breast cancer detection and classificationAntonella Petrillo, Roberta Fusco, Paolo Vallone, et al.Current Oncology (Toronto, Ont.)|March 24, 2022
Radiomic and Artificial Intelligence Analysis with Textural Metrics Extracted by Contrast-Enhanced Mammography and Dynamic Contrast Magnetic Resonance Imaging to Detect Breast Malignant LesionsRoberta Fusco, Elio Di Bernardo, Adele Piccirillo, et al.La Radiologia Medica|September 23, 2025
Radiomics integrated with machine and deep learning analysis of T2-weighted and arterial-phase T1-weighted Magnetic Resonance Imaging for non-invasive detection of metastatic axillary lymph nodes in breast cancerRoberta Fusco, Vincenza Granata, Mauro Mattace Raso, et al.Bioengineering (Basel, Switzerland)|March 28, 2026
Engineering the Image Representation for Deep Learning in Contrast-Enhanced Mammography: A Systematic Analysis of Preprocessing and Anatomical MaskingRoberta Fusco, Vincenza Granata, Paolo Vallone, et al.Bioengineering (Basel, Switzerland)|May 4, 2026
Clinically Robust Deep Learning for Contrast-Enhanced Mammography: Multicenter Evaluation Across Convolutional Neural Network ArchitecturesRoberta Fusco, Vincenza Granata, Paolo Vallone, et al.European Radiology Experimental|July 5, 2022
Preoperative localisation of nonpalpable breast lesions using magnetic markers in a tertiary cancer centreAntonella Petrillo, Raimondo Di Giacomo, Emanuela Esposito, et al.La Radiologia Medica|October 6, 2023
Radiomics and artificial intelligence analysis by T2-weighted imaging and dynamic contrast-enhanced magnetic resonance imaging to predict Breast Cancer Histological OutcomeAntonella Petrillo, Roberta Fusco, Maria Luisa Barretta, et al.Bioengineering (Basel, Switzerland)|September 27, 2025
Machine and Deep Learning on Radiomic Features from Contrast-Enhanced Mammography and Dynamic Contrast-Enhanced Magnetic Resonance Imaging for Breast Cancer CharacterizationRoberta Fusco, Vincenza Granata, Teresa Petrosino, et al.Pageof 2