Vital-Signs
发表于 2025-3-25 06:59:02
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享乐主义者
发表于 2025-3-25 09:47:20
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委屈
发表于 2025-3-25 14:31:01
Sanjay Ranka,Sartaj Sahnihod that works well for images with different resolutions, aspect ratios, without the necessity to perform image padding, while maintaining a low number of network parameters and fast forward pass time. The proposed method is orders of magnitude faster than the classical approach based on the iterat
染色体
发表于 2025-3-25 19:38:34
Sanjay Ranka,Sartaj Sahnition problem is evaluated. The results show that the computation time of B-spline interpolation is decreased by the proposed algorithm from a factor 4.1 for a 2D image using 1st order interpolation to a factor of 19.9 for 4D using 3rd order interpolation.
波动
发表于 2025-3-25 21:17:35
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构成
发表于 2025-3-26 00:35:48
Sanjay Ranka,Sartaj Sahnid work, including FlowNet or PDD-Net, our approach does not require a fully discretised architecture with correlation layer. Our ablation study demonstrates the importance of keypoints in both self-supervised and unsupervised (using only a MIND metric) settings. On a multi-centric inspiration-exhale
连锁,连串
发表于 2025-3-26 07:19:10
Sanjay Ranka,Sartaj Sahninsi when using a straightforward weighting scheme. Comparing our results to the STAPLE method, we find that our consensi are not only a better approximation of the oracle-label regarding Dice score but also improve subsequent network training results.
修改
发表于 2025-3-26 09:30:25
Sanjay Ranka,Sartaj Sahnid work, including FlowNet or PDD-Net, our approach does not require a fully discretised architecture with correlation layer. Our ablation study demonstrates the importance of keypoints in both self-supervised and unsupervised (using only a MIND metric) settings. On a multi-centric inspiration-exhale
气候
发表于 2025-3-26 14:03:20
Sanjay Ranka,Sartaj Sahninsi when using a straightforward weighting scheme. Comparing our results to the STAPLE method, we find that our consensi are not only a better approximation of the oracle-label regarding Dice score but also improve subsequent network training results.
休闲
发表于 2025-3-26 17:31:52
nsi when using a straightforward weighting scheme. Comparing our results to the STAPLE method, we find that our consensi are not only a better approximation of the oracle-label regarding Dice score but also improve subsequent network training results.