Creatinine-Test
发表于 2025-3-27 00:46:32
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自制
发表于 2025-3-27 03:47:41
Linkai Peng,Li Lin,Pujin Cheng,Huaqing He,Xiaoying Tangs of aging research for some time. For example, the mTOR pathway, a regulator of translation and protein synthesis, has been identified as a common longevity pathway in yeast and Caenorhabditis elegans. In mamm978-1-61779-747-7978-1-60327-507-1
辫子带来帮助
发表于 2025-3-27 06:41:30
Ken C. L. Wong,Mehdi Moradis of aging research for some time. For example, the mTOR pathway, a regulator of translation and protein synthesis, has been identified as a common longevity pathway in yeast and Caenorhabditis elegans. In mamm978-1-61779-747-7978-1-60327-507-1
avarice
发表于 2025-3-27 13:26:38
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critic
发表于 2025-3-27 13:45:55
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Fibroid
发表于 2025-3-27 19:48:35
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同音
发表于 2025-3-28 02:00:14
,Function MRI Representation Learning via Self-supervised Transformer for Automated Brain Disorder Asonance imaging (rs-fMRI) has been used to capture abnormality or dysfunction functional connectivity networks for automated MDD detection. A functional connectivity network (FCN) of each subject derived from rs-fMRI data can be modeled as a graph consisting of nodes and edges. Graph neural networks
龙卷风
发表于 2025-3-28 04:28:06
,Predicting Age-related Macular Degeneration Progression with Longitudinal Fundus Images Using Deep e. While existing risk prediction models for progression to late AMD are useful for triaging patients, none utilizes longitudinal color fundus photographs (CFPs) in a patient’s history to estimate the risk of late AMD in a given subsequent time interval. In this work, we seek to evaluate how deep ne
Ardent
发表于 2025-3-28 07:39:47
,Region-Guided Channel-Wise Attention Network for Accelerated MRI Reconstruction,rs its development in time-critical applications. In recent years, deep learning-based methods leverage the powerful representations of neural networks to recover high-quality MR images from undersampled measurements, which shortens the acquisition process and enables accelerated MRI scanning. Despi
Incumbent
发表于 2025-3-28 11:24:32
,Student Becomes Decathlon Master in Retinal Vessel Segmentation via Dual-Teacher Multi-target Domaiributions. However, most of them only focus on single-target domain adaptation and cannot be applied to the scenario with multiple target domains. In this paper, we propose RVms, a novel unsupervised multi-target domain adaptation approach to segment retinal vessels (RVs) from multimodal and multice