Expostulate
发表于 2025-3-23 12:49:55
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Debate
发表于 2025-3-23 15:55:03
Uncertainty Reduction in Contour-Based 3D/2D Registration of Bone Surfacesnty of the reconstructions. While traditional optimisation methods produce a single point-estimate, we frame the problem as Bayesian inference. We apply a Monte Carlo sampling based non-rigid 3. to 2. registration recovering the posterior distribution of plausible reconstructions. This provides insi
AMOR
发表于 2025-3-23 18:27:41
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Chandelier
发表于 2025-3-24 00:56:18
Bi-invariant Two-Sample Tests in Lie Groups for Shape Analysiserived measures is that they are compatible with the group structure even for manifolds that do not admit any bi-invariant metric. This property, e.g. assures analysis that does not depend on the reference shape, thus, preventing bias due to arbitrary choices thereof. Furthermore, the generalization
antipsychotic
发表于 2025-3-24 05:01:46
Uncertain-DeepSSM: From Images to Probabilistic Shape Modelsn workflow of anatomy segmentation, shape registration, and the optimization of population-level shape representations. DeepSSM is an end-to-end deep learning approach that extracts statistical shape representation directly from unsegmented images with little manual overhead. It performs comparably
Hypomania
发表于 2025-3-24 06:49:50
D-net: Siamese Based Network for Arbitrarily Oriented Volume Alignmentthe extraction of cartilage shape from contrast-enhanced Computed Tomography (CT) of tibiae requires accurate alignment of the bone, currently performed manually. Existing deep learning-based methods for alignment require a common template or are limited in rotation range. Therefore, we present a no
整顿
发表于 2025-3-24 12:58:11
A Method for Semantic Knee Bone and Cartilage Segmentation with Deep 3D Shape Fitting Using Data frontation of relevant areas. Our solution covers the entire pipeline from 2D-based pre-segmentation, a method for fast deep 3D shape regression and subsequent patch-based 3D semantic segmentation for final segmentation. Since we perform landmark regression using a statistical shape model, our method i
伦理学
发表于 2025-3-24 18:34:30
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SPER
发表于 2025-3-24 21:16:27
Combined Estimation of Shape and Pose for Statistical Analysis of Articulating Jointsoms. For joint comparisons and analysis, the relative positions of the bones can confound subsequent analysis. Clinicians design specific image acquisition protocols to neutralize the individual pose variations. However, recent studies have shown that even specific acquisition protocols fail to achi
无脊椎
发表于 2025-3-25 02:40:18
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