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European Journal of Radiology|November 29, 2019
Automated measurement of liver attenuation to identify moderate-to-severe hepatic steatosis from chest CT scansArtit Jirapatnakul, Anthony P Reeves, Sara Lewis, et al.
European Journal of Radiology|November 29, 2019
The characteristics of acute necrotizing pancreatitis in different age stages: An MRI studyDan Dan Yang, Hou Dong Zuo, Chang Qiang Wu, et al.
European Journal of Radiology|November 30, 2019
Machine learning-based multiparametric MRI radiomics for predicting the aggressiveness of papillary thyroid carcinomaHao Wang, Bin Song, Ningrong Ye, et al.
European Journal of Radiology|November 30, 2019
Imaging-guided precision medicine in non-resectable gastro-entero-pancreatic neuroendocrine tumors: A step-by-step approachLaura Rozenblum, Fatima-Zohra Mokrane, Randy Yeh, et al.
European Journal of Radiology|November 18, 2019
A survey on the future of radiology among radiologists, medical students and surgeons: Students and surgeons tend to be more skeptical about artificial intelligence and radiologists may fear that other disciplines take overJasper van Hoek, Adrian Huber, Alexander Leichtle, et al.
European Journal of Radiology|November 19, 2019
CT artifacts from port systems: Virtual monoenergetic reconstructions from spectral-detector CT reduce artifacts and improve depiction of surrounding tissueKai Roman Laukamp, David Zopfs, Anton Wagner, et al.
European Journal of Radiology|November 23, 2019
Clear cell renal cell carcinoma: Machine learning-based computed tomography radiomics analysis for the prediction of WHO/ISUP gradeJun Shu, Didi Wen, Yibin Xi, et al.
European Journal of Radiology|December 28, 2017
Noise characteristics of virtual monoenergetic images from a novel detector-based spectral CT scannerKevin Kalisz, Negin Rassouli, Amar Dhanantwari, et al.
European Journal of Radiology|December 28, 2017
Inter-exam agreement and diagnostic performance of the Korean thyroid imaging reporting and data system for thyroid nodule assessment: Real-time versus static ultrasonographyJung Min Bae, Soo Yeon Hahn, Jung Hee Shin, et al.
European Journal of Radiology|December 28, 2017
Computer-aided diagnosis of contrast-enhanced spectral mammography: A feasibility studyBhavika K Patel, Sara Ranjbar, Teresa Wu, et al.
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