细查
发表于 2025-3-23 09:41:49
A. G. Zavarzinaing a descriptor of the query point in a source image based on a hierarchical sparse sampling of image intensities that encode the location information. Then, a hierarchical search operation finds the corresponding point with the most similar descriptor in the target image. This simple yet powerful
范例
发表于 2025-3-23 15:20:47
A. G. Zavarzina,A. A. Lisov,A. A. Zavarzin,A. A. Leontievsky up DMRI acquisition, k-space measurements are commonly under-sampled along spatial or spatial-temporal domains. The difficulty of recovering useful information increases with increasing under-sampling ratios. Compress sensing was invented for this purpose and has become the most popular method unti
取回
发表于 2025-3-23 21:16:32
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恫吓
发表于 2025-3-23 23:09:11
Matthew Wallenstein,Steven D. Allison,Jessica Ernakovich,J. Megan Steinweg,Robert Sinsabaughnd identical distributions have not been fully addressed. The former problem arises from model parameter transfer between the server and clients, and the latter problem is due to differences in imaging protocols and operational customs. To reduce communication costs, dataset distillation methods hav
灯丝
发表于 2025-3-24 02:22:27
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全国性
发表于 2025-3-24 08:27:12
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新义
发表于 2025-3-24 13:15:01
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Callus
发表于 2025-3-24 16:57:32
Analí Rosas,Ada López,Roxana Lópezmagnetic resonance imaging (MRI) data, since these two tasks are highly correlated. Although several joint learning models have been developed, most existing methods focus on using human-engineered features extracted from MRI data. Due to the possible heterogeneous property between human-engineered
Locale
发表于 2025-3-24 20:20:51
V. Suneetha,Zaved Ahmed Khanmagnetic resonance imaging (MRI) data, since these two tasks are highly correlated. Although several joint learning models have been developed, most existing methods focus on using human-engineered features extracted from MRI data. Due to the possible heterogeneous property between human-engineered
无力更进
发表于 2025-3-24 23:31:24
Rajani Malla,Utprekshya Pokharel,Ram Prasad,Ajit Varmafolding is of great importance for neuroimaging research. The term-born neonates with minimum exposure to the complicated environments are the ideal candidates to mine the postnatal origins of principal cortical folding patterns. In this work, we propose a novel framework to study the gyral patterns