浮雕
发表于 2025-3-23 13:35:12
Consolidation of Axiomatic Set Theory0.89 ± 0.53 mm. Additionally, a number of automatically obtained clinical measures were compared to ground truth values. On average we obtained a Pearson’s correlation coefficient (.) of 0.94 (0.99–0.74).
誓言
发表于 2025-3-23 14:02:26
Semi-automated Processing of Real-Time CMR Scans for Left Ventricle Segmentation0.89 ± 0.53 mm. Additionally, a number of automatically obtained clinical measures were compared to ground truth values. On average we obtained a Pearson’s correlation coefficient (.) of 0.94 (0.99–0.74).
predict
发表于 2025-3-23 19:52:53
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Harridan
发表于 2025-3-23 23:21:52
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JUST
发表于 2025-3-24 05:16:32
Adaptive Graph Diffusion Regularisation for Discontinuity Preserving Image Registratione graph, we develop an adaptive edge weight function to detect sliding boundaries. We implement the adaptive graph diffusion regularisation method in the Demons registration framework. The presented method is tested on synthetic 2D images and on the public 4D-CT DIR-Lab data set, where we are able to correctly detect the sliding organ boundaries.
创造性
发表于 2025-3-24 06:33:44
0302-9743 n, The Netherlands, in June 2018...The 11 full and poster papers included in this volume were carefully reviewed and selected from 17 submitted papers. The papers are organized in the following topical sections: Sliding Motion, Groupwise Registration, Acceleration, and Applications and Evaluation..
秘密会议
发表于 2025-3-24 13:59:37
An Inhomogeneous Multi-resolution Regularization Concept for Discontinuity Preserving Image Registrawhich prefers transformations which are explained in lower resolution levels. For an early proof of concept we analyze the registration performance of our method on synthetic 2D data and on a 2D slice of the POPI model.
Curmudgeon
发表于 2025-3-24 16:04:30
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licence
发表于 2025-3-24 19:33:32
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MAG
发表于 2025-3-25 01:28:02
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