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Deep-learning based motion-corrected image reconstruction in 4D magnetic resonance imaging of the body trunk

, , , , , , , , , , , and . 2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), page 976-985. Piscataway, IEEE, (2020)

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Deep-learning based motion-corrected image reconstruction in 4D magnetic resonance imaging of the body trunk, , , , , , , , , and 2 other author(s). 2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), page 976-985. Piscataway, IEEE, (2020)LAPNet : Non-Rigid Registration Derived in k-Space for Magnetic Resonance Imaging, , , , , , , , , and . IEEE transactions on medical imaging, 40 (12): 3686-3697 (2021)An Integrated Software Application for Non-invasive Assessment of Local Aortic Haemodynamic Parameters., , , , , , , and . MIUA, volume 90 of Procedia Computer Science, page 2-8. Elsevier, (2016)Advanced Respiratory Motion Compensation for Coronary MR Angiography., and . Sensors, 13 (6): 6882-6899 (2013)Cardiac MR Motion Artefact Correction from K-space Using Deep Learning-Based Reconstruction., , , , , , , , and . MLMIR@MICCAI, volume 11074 of Lecture Notes in Computer Science, page 21-29. Springer, (2018)Dual-phase whole-heart imaging using image navigation in congenital heart disease., , , , , , and . BMC Medical Imaging, 18 (1): 36:1-36:11 (2018)Magnetic Resonance Fingerprinting using Recurrent Neural Networks., , , , , , , , and . CoRR, (2018)Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning., , , , , , , , , and 1 other author(s). CoRR, (2018)Coronary artery size and origin imaging in children: a comparative study of MRI and trans-thoracic echocardiography., , , , , , , , and . BMC Medical Imaging, (2015)Magnetic Resonance Fingerprinting Using Recurrent Neural Networks., , , , , , , , and . ISBI, page 1537-1540. IEEE, (2019)