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Automated Quality Assessment of Cardiac MR Images Using Convolutional Neural Networks.

, , , , , , and . SASHIMI@MICCAI, volume 9968 of Lecture Notes in Computer Science, page 138-145. (2016)

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Towards the Creation of the Cardiovascular Magnetic Resonance Quality Assessment Ontology (CMR-QA)., , , , , , , , , and 1 other author(s). SWAT4LS, volume 1795 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences., , , , , , and . MICCAI (2), volume 11071 of Lecture Notes in Computer Science, page 472-480. Springer, (2018)3D Cardiac Shape Prediction with Deep Neural Networks: Simultaneous Use of Images and Patient Metadata., , , , , , and . CoRR, (2019)Image Quality Assessment for Population Cardiac Magnetic Resonance Imaging., , , , , and . Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, Springer, (2019)Shape registration with learned deformations for 3D shape reconstruction from sparse and incomplete point clouds., , , , , , , , and . Medical Image Anal., (2021)A Radiomics Approach to Analyze Cardiac Alterations in Hypertension., , , , , and . ISBI, page 640-643. IEEE, (2019)A Radiomics Approach to Computer-Aided Diagnosis with Cardiac Cine-MRI., , , , , , and . STACOM@MICCAI, volume 10663 of Lecture Notes in Computer Science, page 82-90. Springer, (2017)Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image., , , , , , and . MLMIR@MICCAI, volume 11074 of Lecture Notes in Computer Science, page 55-63. Springer, (2018)Quantitative CMR population imaging on 20, 000 subjects of the UK Biobank imaging study: LV/RV quantification pipeline and its evaluation., , , , , , , , , and 6 other author(s). Medical Image Analysis, (2019)Human-level CMR image analysis with deep fully convolutional networks., , , , , , , , , and 13 other author(s). CoRR, (2017)