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PET Clinics|July 5, 2024
Symptomatic Myeloma: PET, Whole-Body MR Imaging with Diffusion-Weighted Imaging or BothAlice Rossi, Arrigo Cattabriga, Davide Bezzi
Journal of Visualized Experiments : Jove|January 4, 2021
Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV PneumoniaArrigo Cattabriga, Maria Adriana Cocozza, Giulio Vara, et al.
Frontiers in Medicine|October 27, 2022
Dynamic FDG PET/CT on bladder paraganglioma: A case reportMakoto Taninokuchi Tomassoni, Arrigo Cattabriga, Caterina Gaudiano, et al.
Diagnostics (Basel, Switzerland)|November 13, 2025
Qualitative and Quantitative Inter-Observer Agreement of Multiparametric Whole-Body MRI in Staging and Follow-Up of Myeloma PatientsAlice Rossi, Arrigo Cattabriga, Andrea Prochowski Iamurri, et al.
Technology in Cancer Research & Treatment|August 18, 2025
The Role of Whole-Body MRI in Patients with Lymphoma: A Narrative ReviewBenedetta Renzetti, Arrigo Cattabriga, Stefano Brocchi, et al.
Cancers|April 12, 2022
Automatically Extracted Machine Learning Features from Preoperative CT to Early Predict Microvascular Invasion in HCC: The Role of the Zone of Transition (ZOT)Matteo Renzulli, Margherita Mottola, Francesca Coppola, et al.
Cancers|December 23, 2022
Beyond Multiparametric MRI and towards Radiomics to Detect Prostate Cancer: A Machine Learning Model to Predict Clinically Significant LesionsCaterina Gaudiano, Margherita Mottola, Lorenzo Bianchi, et al.
Journal of Clinical Medicine|March 11, 2023
Radiomic Features from Post-Operative 18F-FDG PET/CT and CT Imaging Associated with Locally Recurrent Rectal Cancer: Preliminary FindingsDajana Cuicchi, Margherita Mottola, Paolo Castellucci, et al.
Cancers|July 14, 2023
An Apparent Diffusion Coefficient-Based Machine Learning Model Can Improve Prostate Cancer Detection in the Grey Area of the Prostate Imaging Reporting and Data System Category 3: A Single-Centre ExperienceCaterina Gaudiano, Margherita Mottola, Lorenzo Bianchi, et al.
Heliyon|January 22, 2025
Identification of PET/CT radiomic signature for classification of locally recurrent rectal cancer: A network-based feature selection approachSara Dalmonte, Maria Adriana Cocozza, Dajana Cuicchi, et al.
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