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Myocardial Blood Flow Quantification From MRI by Deconvolution Using an Exponential Approximation Basis., , , , , and . IEEE Trans. Biomed. Eng., 59 (7): 2060-2067 (2012)Exploration of 4D MRI Blood Flow using Stylistic Visualization., , , , , , and . IEEE Trans. Vis. Comput. Graph., 16 (6): 1339-1347 (2010)A Deep Learning Approach Utilizing Covariance Matrix Analysis for the ISBI Edited MRS Reconstruction Challenge., , , , , , , and . CoRR, (2023)Towards patient-specific risk assessment of abdominal aortic aneurysm., , , , , , , , , and 4 other author(s). Medical Biol. Eng. Comput., 46 (11): 1085-1095 (2008)Visual Analysis of Tumor Control Models for Prediction of Radiotherapy Response., , , , , , and . Comput. Graph. Forum, 35 (3): 231-240 (2016)Deep learning-based prediction of kinetic parameters from myocardial perfusion MRI., , , , , and . CoRR, (2019)Computational Mesh Generation for Vascular Structures with Deformable Surfaces., , , , and . Int. J. Comput. Assist. Radiol. Surg., 1 (1): 39-49 (2006)Personalised imaging and biomechanical modelling of large vessels., , and . Medical Biol. Eng. Comput., 46 (11): 1057-1058 (2008)Employing Visual Analytics to Aid the Design of White Matter Hyperintensity Classifiers., , , , , , and . MICCAI (2), volume 9901 of Lecture Notes in Computer Science, page 97-105. (2016)Assessment of the rupture risk of abdominal aortic aneurysms by patient-specific hemodynamic modeling - initial results., , , , , , , , and . CARS, volume 1268 of International Congress Series, page 1090-1095. Elsevier, (2004)