Iatrogenic
发表于 2025-3-28 15:41:49
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留恋
发表于 2025-3-28 20:24:54
P. Cerletti,F. Bonomi,S. Paganif segmentation masks of the fixed and moving volumes. These masks are then used to attend to the input volume, which are then provided as inputs to a registration network in the second step. The registration network computes the deformation field to perform the alignment between the fixed and the mo
metropolitan
发表于 2025-3-28 23:03:37
Molar Masses and Molar Mass Distributionse appearance changes. This paper describes our contribution to the registration of the longitudinal brain MRI task of the Brain Tumor Sequence Registration Challenge 2022 (BraTS-Reg 2022). We developed an enhanced unsupervised learning-based method that extends our previously developed registration
切掉
发表于 2025-3-29 03:28:47
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CROAK
发表于 2025-3-29 10:33:57
https://doi.org/10.1007/978-1-4615-7367-8In this challenge, we proposed an unsupervised domain adaptation framework for cross-modality vestibular schwannoma (VS) and cochlea segmentation and Koos grade prediction. We learn the shared representation from both ceT1 and hrT2 images and recover another modality from the latent representation,
CAJ
发表于 2025-3-29 13:09:39
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Ganglion
发表于 2025-3-29 15:43:58
Polymer crystallization theories,sing cross-modality segmentation performance by distilling knowledge from a label-rich source domain to a target domain without labels. In this work, we propose a multi-scale self-ensembling based UDA framework for automatic segmentation of two key brain structures . Vestibular Schwannoma (VS) and C
朝圣者
发表于 2025-3-29 23:21:42
Timothy A. Springer,Jay C. Unkelessy leveraging labeled contrast-enhanced T1 scans. The 2022 edition extends the segmentation task by including multi-institutional scans. In this work, we proposed an unpaired cross-modality segmentation framework using data augmentation and hybrid convolutional networks. Considering heterogeneous dis
遗传
发表于 2025-3-30 00:38:56
Dolph O. Adams,Michael G. Hannaare contrast-enhanced T1 (ceT1), with a growing interest in high-resolution T2 images (hrT2) to replace ceT1, which involves the use of a contrast agent. As hrT2 images are currently scarce, it is less likely to train robust machine learning models to segment VS or other brain structures. In this wo
焦虑
发表于 2025-3-30 05:06:33
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