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European Radiology Experimental|June 19, 2026
Digital twin technologies in prostate cancer as a frontier for precision medicineMartina Pecoraro, Emanuele Messina, Simone Novelli, et al.European Radiology Experimental|January 28, 2024
Assessing regional hepatic function changes after hypertrophy induction by radioembolisation: comparison of gadoxetic acid-enhanced MRI and 99mTc-mebrofenin hepatobiliary scintigraphyMatthias P Fabritius, Benjamin Garlipp, Osman Öcal, et al.European Radiology Experimental|June 19, 2026
Methodological quality of cardiac CT and MRI radiomics studies assessed using METRICS and RQS by human readers and ChatGPT 5.1 ThinkingLudwig Federico Garello, Valentina Giannini, Marco Gatti, et al.European Radiology Experimental|May 13, 2026
Intravoxel incoherent motion MRI for early detection and assessment of renal injury after cardiac arrest and resuscitation in a rat modelJie Zhang, Na Zhan, Haoyi Ye, et al.European Radiology Experimental|May 13, 2026
[Fe-EOB-tCDTA] generates strong contrast in the blood but not in the liver, despite inhibiting cellular [Gd-EOB-DTPA]2- uptake and partial liver excretionFei Ni, Akvile Haeckel, Hamidreza Hojjat, et al.European Radiology Experimental|December 6, 2018
Big data, artificial intelligence, and structured reportingDaniel Pinto Dos Santos, Bettina BaeßlerEuropean Radiology Experimental|June 17, 2022
Twinkling-guided ultrasound detection of polymethyl methacrylate as a potential breast biopsy marker: a comparative investigationChristine U Lee, Matthew W Urban, A Lee Miller, et al.European Radiology Experimental|June 8, 2026
Deep learning-based biliary stent classification and transfer learning adaptation to an additional stent typeJin Lee, Byeong-Kwon Shin, Gwang-Hyun Yu, et al.European Radiology Experimental|July 31, 2026
Deep learning-based detection of acute pancreatitis on abdominal contrast-enhanced CTOleksandra Seidel, Maike Theis, Sebastian Nowak, et al.European Radiology Experimental|July 31, 2026
Bridging the AI chasm in oncology: a standardized platform to enable the in silico clinical validation of AI models within the CHAIMELEON ProjectAdrian Galiana-Bordera, Javier Aquerreta-Escribano, Pedro Miguel Martinez-Girones, et al.Pageof 75