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European Radiology Experimental|January 15, 2025
Deep learning of noncontrast CT for fast prediction of hemorrhagic transformation of acute ischemic stroke: a multicenter studyHuanhuan Ren, Haojie Song, Shaoguo Cui, et al.
European Radiology Experimental|August 28, 2024
Vessel-based CTA-image to spatial anatomy registration using tracked catheter position data: preclinical evaluation of in vivo accuracyGeir Arne Tangen, Petter Aadahl, Toril A N Hernes, et al.
European Radiology Experimental|August 26, 2024
Automated peripheral nerve segmentation for MR-neurographyNedim Christoph Beste, Johann Jende, Moritz Kronlage, et al.
European Radiology Experimental|November 20, 2024
An AI deep learning algorithm for detecting pulmonary nodules on ultra-low-dose CT in an emergency setting: a reader studyInge A H van den Berk, Colin Jacobs, Maadrika M N P Kanglie, et al.
European Radiology Experimental|August 1, 2024
Reproducibility of CT-based opportunistic vertebral volumetric bone mineral density measurements from an automated segmentation frameworkJannis Bodden, Philipp Prucker, Anjany Sekuboyina, et al.
European Radiology Experimental|July 4, 2024
Sample size calculation for data reliability and diagnostic performance: a go-to reviewCaterina Beatrice Monti, Federico Ambrogi, Francesco Sardanelli
European Radiology Experimental|July 24, 2024
The Picasso's skepticism on computer science and the dawn of generative AI: questions after the answers to keep "machines-in-the-loop"Filippo Pesapane, Renato Cuocolo, Francesco Sardanelli
European Radiology Experimental|July 26, 2024
Development of an initial training and evaluation programme for manual lower limb muscle MRI segmentationJasper M Morrow, Sachit Shah, Lara Cristiano, et al.
European Radiology Experimental|June 13, 2024
Reproducibility and repeatability of quantitative T2 and T2* mapping of osteosarcomas in a mouse modelRaheleh Roudi, Laura J Pisani, Fabrizio Pisani, et al.
European Radiology Experimental|June 20, 2024
Deep learning reconstruction for lumbar spine MRI acceleration: a prospective studyHui Tang, Ming Hong, Lu Yu, et al.
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