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Respiratory Motion Estimation from Cone-Beam Projections Using a Prior Model.

, , , and . MICCAI (1), volume 5762 of Lecture Notes in Computer Science, page 365-372. Springer, (2009)

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Hyperquaternions: An Efficient Mathematical Formalism for Geometry., , , , and . GSI, volume 11712 of Lecture Notes in Computer Science, page 116-125. Springer, (2019)Automated Quantification of Myocardial Infarction Using a Hidden Markov Random Field Model and the EM Algorithm., , , , , , , , and . FIMH, volume 9126 of Lecture Notes in Computer Science, page 256-264. Springer, (2015)A new singular perturbation approach for image segmentation tracking., , and . ISBI, page 1445-1448. IEEE, (2008)Hierarchical Multi-modality Prediction Model to Assess Obesity-Related Remodelling., , , , , , , , and . STACOM@MICCAI, volume 13131 of Lecture Notes in Computer Science, page 103-112. Springer, (2021)Assessment of the Evolution of Temporal Segmental Strain in a Longitudinal Study of Myocardial Infarction., , , , , and . FIMH, volume 13958 of Lecture Notes in Computer Science, page 678-687. Springer, (2023)Systematic Study of Joint Influence of Angular Resolution and Noise in Cardiac Diffusion Tensor Imaging., , , , , and . FIMH, volume 12738 of Lecture Notes in Computer Science, page 200-210. Springer, (2021)Two-dimensional spatial and temporal displacement and deformation field fitting from cardiac magnetic resonance tagging., , , , , , and . Medical Image Anal., 4 (3): 253-268 (2000)A Review of Cardiac Image Registration Methods., , , , , , and . IEEE Trans. Medical Imaging, 21 (9): 1011-1021 (2002)Characterizing Myocardial Ischemia and Reperfusion Patterns with Hierarchical Manifold Learning., , , , and . STACOM@MICCAI, volume 13131 of Lecture Notes in Computer Science, page 66-74. Springer, (2021)Reinforcement Learning for Active Modality Selection During Diagnosis., , , , , , and . MICCAI (1), volume 13431 of Lecture Notes in Computer Science, page 592-601. Springer, (2022)