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Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI with Limited Data., , , , и . CoRR, (2019)Quality Assessment for Secondary Use of Imaging Trials., , , , , , и . MIE, том 316 из Studies in Health Technology and Informatics, стр. 1120-1124. IOS Press, (2024)The Interplay of Artificial and Human Intelligence in Radiology - Exploring Socio-Technical System Dynamics., и . IHIET, том 1018 из Advances in Intelligent Systems and Computing, стр. 390-395. Springer, (2019)A U-Nets Cascade for Sparse View Computed Tomography., , , , и . MLMIR@MICCAI, том 11074 из Lecture Notes in Computer Science, стр. 91-99. Springer, (2018)Neural Networks-based Regularization of Large-Scale Inverse Problems in Medical Imaging., , , , , , и . CoRR, (2019)Claustrophobia during magnetic resonance imaging: Cohort study in over 55,000 patients, , и . Journal of Magnetic Resonance Imaging, 26 (5): 1322-1327 (октября 2007)Fully automated quantification of in vivo viscoelasticity of prostate zones using magnetic resonance elastography with Dense U-net segmentation., , , , , и . CoRR, (2021)Unsupervised Adaptive Neural Network Regularization for Accelerated Radial Cine MRI., , , , и . CoRR, (2020)Clinical quantitative cardiac imaging for the assessment of myocardial ischaemia, , , , , , , , , и 14 other автор(ы). Nat Rev Cardiol, 17 (7): 427--450 (июля 2020)Algorithms and Agency in Hospitals: Empirical insights on the impact of digital transformation on clinical work, , , , , , , , и . Forschungsförderung Working Paper, 349. Hans-Böckler-Stiftung, Düsseldorf, (августа 2024)