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Titlebook: Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis; ECCV 2004 Workshops Milan Sonka,Ioannis A. Kakadiaris,J

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發(fā)表于 2025-3-28 15:26:32 | 只看該作者
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Cone-Beam Image Reconstruction by Moving Framesruction by moving frames, enables numerical implementation of exact cone-beam inversion using its intrinsic geometry. In particular, our algorithm allows a 3-D discrete approach to the differentiation-backprojection operator on the curved manifolds appearing in all analytical cone-beam inverse formu
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發(fā)表于 2025-3-29 05:40:34 | 只看該作者
AQUATICS Reconstruction Software: The Design of a Diagnostic Tool Based on Computer Vision Algorithm used to recover 3D shapes and information from images range and volume data. Complex practical applications, however, are rarely approachable with a single technique, and require detailed analysis on how they can be subdivided in subtasks that are computationally treatable and that, at the same tim
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Principal Geodesic Analysis on Symmetric Spaces: Statistics of Diffusion Tensorsle work has been done on producing statistics of diffusion tensors. A main difficulty is that the space of diffusion tensors, i.e., the space of symmetric, positive-definite matrices, does not form a vector space. Therefore, standard linear statistical techniques do not apply. We show that the space
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發(fā)表于 2025-3-29 23:49:03 | 只看該作者
Symmetric Geodesic Shape Averaging and Shape Interpolations one to define curved distances which are often more appropriate for morphological comparisons of anatomy. However, the correspondence problem as well as the metric distances across the database depend upon the chosen reference anatomy, requiring average transformations to be estimated. The goal of
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發(fā)表于 2025-3-30 03:24:25 | 只看該作者
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發(fā)表于 2025-3-30 06:59:53 | 只看該作者
Level Set and Region Based Surface Propagation for Diffusion Tensor MRI Segmentationdical studies. Tractography is currently the favorite technique to characterize and analyse the structure of the brain white matter. Only a few studies have been proposed to group data of particular interest. Rather than working on extracted fibers or on an estimated scalar value accounting for anis
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