Solace 发表于 2025-3-23 09:49:36
http://reply.papertrans.cn/63/6293/629217/629217_11.pngCOKE 发表于 2025-3-23 14:06:43
SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRIing state-of-the-art methods. Experiments with real-world MRI data are also performed to demonstrate the ability of the proposed model to improve the quality of 3D reconstruction under severe fetal motion.atopic-rhinitis 发表于 2025-3-23 20:49:12
Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-Basistent with that of the student model. More importantly, instead of searching for a fixed weight, the teacher enables automatically adjusting the weights of the spatial regularization and the temporal consistency regularization by taking advantage of the transformation uncertainty and appearance uncdefuse 发表于 2025-3-24 01:30:08
On the Dataset Quality Control for Image Registration Evaluationtasets, we identified and confirmed a small number of landmarks with potential localization errors and found that, in some cases, the landmark distribution was not ideal for an unbiased assessment of non-rigid registration errors. Under discussion, we provide some constructive suggestions for improvInitial 发表于 2025-3-24 05:07:57
Dual-Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CTinvestigated before. In this paper, we propose a Dual-Branch Squeeze-Fusion-Excitation (DuSFE) module for the registration of cardiac SPECT and CT-derived .-maps. DuSFE fuses the knowledge from multiple modalities to recalibrate both channel-wise and spatial features for each modality. DuSFE can beintuition 发表于 2025-3-24 09:58:25
http://reply.papertrans.cn/63/6293/629217/629217_16.png丰满有漂亮 发表于 2025-3-24 11:46:08
Non-iterative Coarse-to-Fine Registration Based on Single-Pass Deep Cumulative Learning Network (NICE-Net) for deformable image registration. In the NICE-Net, we propose: (i) a Single-pass Deep Cumulative Learning (SDCL) decoder that can cumulatively learn coarse-to-fine transformations within a single pass (iteration) of the network, and (ii) a Selectively-propagated Feature Learning种植,培养 发表于 2025-3-24 17:38:41
http://reply.papertrans.cn/63/6293/629217/629217_18.png饶舌的人 发表于 2025-3-24 19:48:28
http://reply.papertrans.cn/63/6293/629217/629217_19.pngright-atrium 发表于 2025-3-25 00:01:00
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