Generating synthetic CEM from low-energy images using deep learning: A future without contrast media? A proof-of-concept study.
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| Title: | Generating synthetic CEM from low-energy images using deep learning: A future without contrast media? A proof-of-concept study. |
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| Authors: | Zormpas-Petridis K; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy. konstantinos.zormpaspetridis@policlinicogemelli.it.; Università Cattolica del Sacro Cuore, Rome, Italy. konstantinos.zormpaspetridis@policlinicogemelli.it.; Computational Pathology and Spatially-Integrated Omics GSTeP Facility, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy. konstantinos.zormpaspetridis@policlinicogemelli.it., Kalantar R; The Institute of Cancer Research, London, UK.; Royal Marsden Hospital, London, UK., Iaccarino L; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy., Mancino M; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy., Franceschini G; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy., Clauser P; Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria., Longo V; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy., Sala E; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.; Università Cattolica del Sacro Cuore, Rome, Italy., Belli P; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.; Università Cattolica del Sacro Cuore, Rome, Italy., D'Angelo A; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy. |
| Source: | European radiology experimental [Eur Radiol Exp] 2026 Mar 16; Vol. 10 (1). Date of Electronic Publication: 2026 Mar 16. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: SpringerOpen Country of Publication: England NLM ID: 101721752 Publication Model: Electronic Cited Medium: Internet ISSN: 2509-9280 (Electronic) Linking ISSN: 25099280 NLM ISO Abbreviation: Eur Radiol Exp Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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