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Nucleic Acids Research|January 19, 2019
Identification of microRNA clusters cooperatively acting on epithelial to mesenchymal transition in triple negative breast cancerLaura Cantini, Gloria Bertoli, Claudia Cava, et al.Journal of Ultrasound|July 23, 2020
The Adoption of Radiomics and machine learning improves the diagnostic processes of women with Ovarian MAsses (the AROMA pilot study)Valentina Chiappa, Giorgio Bogani, Matteo Interlenghi, et al.Computational and Structural Biotechnology Journal|November 29, 2023
Computational analysis of five neurodegenerative diseases reveals shared and specific genetic lociFrancesca Maselli, Salvatore D'Antona, Mattia Utichi, et al.International Journal of Molecular Sciences|April 5, 2018
Radiation-Induced Gene Expression Changes in High and Low Grade Breast Cancer Cell TypesValentina Bravatà, Claudia Cava, Luigi Minafra, et al.Plos One|May 29, 2014
Integration of mRNA expression profile, copy number alterations, and microRNA expression levels in breast cancer to improve grade definitionClaudia Cava, Gloria Bertoli, Marilena Ripamonti, et al.European Journal of Nuclear Medicine and Molecular Imaging|February 11, 2004
Performance evaluation of the new whole-body PET/CT scanner: Discovery STValentino Bettinardi, Massimo Danna, Annarita Savi, et al.Frontiers in Psychiatry|October 19, 2017
The Utility of a Computerized Algorithm Based on a Multi-Domain Profile of Measures for the Diagnosis of Attention Deficit/Hyperactivity DisorderAlessandro Crippa, Christian Salvatore, Erika Molteni, et al.European Radiology Experimental|July 26, 2021
A decision support system based on radiomics and machine learning to predict the risk of malignancy of ovarian masses from transvaginal ultrasonography and serum CA-125Valentina Chiappa, Matteo Interlenghi, Giorgio Bogani, et al.Frontiers in Bioscience (Landmark Edition)|April 15, 2017
FDG PET/CT as theranostic imaging in diagnosis of non-small cell lung cancerMargarita Kirienko, Francesca Gallivanone, Martina Sollini, et al.La Radiologia Medica|February 14, 2023
MRI-based artificial intelligence to predict infection following total hip arthroplasty failureDomenico Albano, Salvatore Gitto, Carmelo Messina, et al.Pageof 11