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Ebiomedicine|February 20, 2024
X-rays radiomics-based machine learning classification of atypical cartilaginous tumour and high-grade chondrosarcoma of long bonesSalvatore Gitto, Alessio Annovazzi, Kitija Nulle, et al.BMC Medical Informatics and Decision Making|November 28, 2024
Machine learning predicts pulmonary Long Covid sequelae using clinical dataErmanno Cordelli, Paolo Soda, Sara Citter, et al.Cerebral Cortex (New York, N.Y. : 1991)|March 17, 2019
Acute Inescapable Stress Rapidly Increases Synaptic Energy Metabolism in Prefrontal Cortex and Alters Working Memory PerformanceLaura Musazzi, Nathalie Sala, Paolo Tornese, et al.Rheumatology (Oxford, England)|October 5, 2017
Quantitative measurement of 18F-FDG PET/CT uptake reflects the expansion of circulating plasmablasts in IgG4-related diseaseAlvise Berti, Emanuel Della-Torre, Francesca Gallivanone, et al.Nature Communications|January 5, 2020
Interpreting pathways to discover cancer driver genes with MoonlightAntonio Colaprico, Catharina Olsen, Matthew H Bailey, et al.Radiology. Artificial Intelligence|April 8, 2022
Development and Validation of an AI-driven Mammographic Breast Density Classification Tool Based on Radiologist ConsensusVeronica Magni, Matteo Interlenghi, Andrea Cozzi, et al.Current Oncology (Toronto, Ont.)|May 15, 2023
Impact of the Extremities Positioning on the Set-Up Reproducibility for the Total Marrow Irradiation TreatmentNicola Lambri, Simone Leopoldo Antonetti, Damiano Dei, et al.EMBO Molecular Medicine|June 1, 2021
miR-9 modulates and predicts the response to radiotherapy and EGFR inhibition in HNSCCFrancesca Citron, Ilenia Segatto, Lorena Musco, et al.La Radiologia Medica|June 19, 2023
MRI radiomics-based machine learning for classification of deep-seated lipoma and atypical lipomatous tumor of the extremitiesSalvatore Gitto, Matteo Interlenghi, Renato Cuocolo, et al.Pageof 11