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Titlebook: Biomedical Image Registration; 8th International Wo Stefan Klein,Marius Staring,Stefan Sommer Conference proceedings 2018 Springer Nature S

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Instrument Pose Estimation Using Registration for Otobasis Surgerydiographs (DRR), however, such procedure generates data which are free from measuring errors (e.g. noise, number of projections), resulting claims of registration performance inconclusive. Generalization of registration performance across different instruments with different Degrees of Freedom (DoF)
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Origins of the Theory of Point-Setsred modifications are not specific to the transformation type and thus can be applied to parametric and non-parametric frameworks alike. The registration accuracy is evaluated using the landmark registration error on the basis of the publicly available DIR-Lab dataset. The overall average landmark e
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Logic and Type Theory in the Interwar Periodin histology. In this way, an accumulation of small, local registration errors may be avoided..First numerical experiments show very promising results for a DCE-MRI sequence of a human kidney as well as for a set of serial sections. The global structure of the data used for registration with . is pr
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https://doi.org/10.1007/978-3-030-74978-1highest possible rate of convergence is achieved in this way. Inspired by this work, we propose an averaged SGD (Avg-SGD) method for efficient image registration. In the Avg-SGD approach, a constant step size is used, in combination with an exponentially weighted iterate averaging scheme. Experiment
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https://doi.org/10.1007/978-3-031-39969-5omatic contour propagation of the prostate, lymph nodes, and seminal vesicles, the system achieved a DSC of ., ., and . and Mean Surface Distance of . mm, . mm, and . mm, respectively. The proposed algorithm is therefore very promising for clinical implementation in the context of online adaptive pr
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