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Improving the generalizability of convolutional neural network-based segmentation on CMR images., , , , , , , , , and 6 other author(s). CoRR, (2019)Towards the Semantic Enrichment of Free-Text Annotation of Image Quality Assessment for UK Biobank Cardiac Cine MRI Scans, , , , , , , , , and 1 other author(s). Deep Learning and Data Labeling for Medical Applications, page 238--248. Cham, Springer International Publishing, (2016)Automatic 3D+t four-chamber CMR quantification of the UK biobank: integrating imaging and non-imaging data priors at scale., , , , , , , , and . Medical Image Anal., (2022)End-Diastolic and End-Systolic LV Morphology in the Presence of Cardiovascular Risk Factors: A UK Biobank Study., , , , , , and . FIMH, volume 11504 of Lecture Notes in Computer Science, page 304-312. Springer, (2019)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 Anal., (2019)Genetic Architecture of Quantitative Cardiovascular Traits: Blood Pressure, ECG and Imaging Phenotypes., , , , , and . CinC, page 1-4. IEEE, (2020)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)Debiasing Cardiac Imaging with Controlled Latent Diffusion Models., , , , , , , and . CoRR, (2024)Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study., , , , , , , , , and 12 other author(s). CoRR, (2019)Towards the Semantic Enrichment of Free-Text Annotation of Image Quality Assessment for UK Biobank Cardiac Cine MRI Scans., , , , , , , , , and 1 other author(s). LABELS/DLMIA@MICCAI, volume 10008 of Lecture Notes in Computer Science, page 238-248. (2016)