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Titlebook: Computational Biomechanics for Medicine; Solid and Fluid Mech Karol Miller,Adam Wittek,Poul M. F. Nielsen Conference proceedings 2021 The E

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楼主: CLIP
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An Unsupervised Learning Based Deformable Registration Network for 4D-CT Imagesed network was trained in an unsupervised manner without the need of any expert annotation. For evaluation, 10 subjects are used for training, 5 subjects for testing. We use the Dice similarity coefficient (DSC) and intersection over union (IoU) over regions of interest (. gross target volume) to ev
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3D Reconstruction of Patient-Specific Carotid Artery Geometry Using Clinical Ultrasound Imagingthodology enables efficient segmentation, extraction of the morphological parameters and creation of 3D meshed volume models that can be also used for the further computational simulations of blood flow.
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Evaluation of the Agreement Between Ultrasound-Based and Bi-Planar X-Ray Radiography-Based Assessmensubjects using the IS0 5725–2 framework was 1.7 mm and 1.3 mm in the in the frontal and sagittal plane respectively (95% CI = 3.5 mm and = 2.6 mm respectively). Out of the 13 subjects included, the ischial tuberosity border was visible on the US image of 7 healthy subjects only. The mean of differen
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Fourier Series and Fourier Transforms,ral elements) patient-specific finite element mesh, and used realistic material properties together with appropriate contact conditions at boundaries. We compared our predicted intra-operative brain geometry (based on the calculated deformation field) contours with the intra-operative MRI to assess
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Techniques in X-ray Structure Determination,Human Body Models Consortium (GHMBC). The model was applied to simulate well-documented low-speed whiplash-type experiments previously conducted on volunteers by the Japan Automobile Research Institute and University of Tsukuba. The results suggest that direct application of CSDM and MPS criteria an
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https://doi.org/10.1007/978-3-319-22210-3thodology enables efficient segmentation, extraction of the morphological parameters and creation of 3D meshed volume models that can be also used for the further computational simulations of blood flow.
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