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Overcoming spatio-temporal limitations using dynamically scaled in vitro PC-MRI - A flow field comparison to true-scale computer simulations of idealized, stented and patient-specific left main bifurcations., , , , , , , , and . EMBC, page 1220-1223. IEEE, (2016)Towards automated coronary artery segmentation: A systematic review., , , and . Comput. Methods Programs Biomed., (2022)MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision., , , , , , , , , and 39 other author(s). CoRR, (2023)Helical Flow in Healthy and Diseased Patient-specific Coronary Bifurcations., , , and . EMBC, page 3977-3980. IEEE, (2022)Automated segmentation of normal and diseased coronary arteries - The ASOCA challenge., , , , , , , , , and 11 other author(s). Comput. Medical Imaging Graph., (2022)Computed tomography coronary angiogram images, annotations and associated data of normal and diseased arteries., , , , , , , and . CoRR, (2022)Transient wall shear stress estimation in coronary bifurcations using convolutional neural networks., , and . Comput. Methods Programs Biomed., (2022)Learning Left Main Bifurcation Shape Features with an Autoencoder., , , and . ISBI, page 1-4. IEEE, (2022)Construction of a Coronary Artery Atlas from CT Angiography., , , , , , , and . MICCAI (2), volume 8674 of Lecture Notes in Computer Science, page 513-520. Springer, (2014)Deep Learning for Time Averaged Wall Shear Stress Prediction in Left Main Coronary Bifurcations., , , and . ISBI, page 1-4. IEEE, (2020)