Zobrazeno 1 - 10
of 2 262
pro vyhledávání: '"You, Xin"'
Automatic and precise segmentation of vertebrae from CT images is crucial for various clinical applications. However, due to a lack of explicit and strict constraints, existing methods especially for single-stage methods, still suffer from the challe
Externí odkaz:
http://arxiv.org/abs/2407.08555
Recent studies have demonstrated that phages can be co-transported with motile non-host bacteria, thereby enabling their invasion of biofilms and control of biofilm composition. Here, we developed a novel approach to isolate non-host bacteria able to
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A85748
https://ul.qucosa.de/api/qucosa%3A85748/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A85748/attachment/ATT-0/
Autor:
Wang, Siqi, Yang, Hailong, Wang, Xuezhu, Liu, Tongxuan, Wang, Pengbo, Liang, Xuning, Ma, Kejie, Feng, Tianyu, You, Xin, Bao, Yongjun, Liu, Yi, Luan, Zhongzhi, Qian, Depei
Large language models (LLM) have recently attracted surging interest due to their outstanding capabilities across various domains. However, enabling efficient LLM inference is challenging due to its autoregressive decoding that generates tokens only
Externí odkaz:
http://arxiv.org/abs/2402.15678
Precise boundary segmentation of volumetric images is a critical task for image-guided diagnosis and computer-assisted intervention, especially for boundary confusion in clinical practice. However, U-shape networks cannot effectively resolve this cha
Externí odkaz:
http://arxiv.org/abs/2312.08323
Shape modeling of volumetric data is essential for medical image analysis and computer-aided intervention. In practice, automated shape reconstruction cannot always achieve satisfactory results due to limited image resolution and a lack of sufficient
Externí odkaz:
http://arxiv.org/abs/2312.06164
Medical image segmentation is a fundamental task for medical image analysis and surgical planning. In recent years, UNet-based networks have prevailed in the field of medical image segmentation. However, convolution-neural networks (CNNs) suffer from
Externí odkaz:
http://arxiv.org/abs/2303.17967
Autor:
You, Xin
Bacterial viruses, also known as phages, are intrinsic components of the Earth’s Critical Zone (CZ). Together with diverse communities of bacteria and fungi, they occupy habitats of the CZ extending from the vegetation canopy, through the soils and
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A79653
https://ul.qucosa.de/api/qucosa%3A79653/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A79653/attachment/ATT-0/
Autor:
Ping-ping Zhang, You-xin Wang, Fang-jing Shen, Yun-fei Xing, Jia-ying Gu, Xue-ying Li, Han Jin, Shi-feng Jin, Miao Xu, Hai-jun Wang, Hui Wang, Li Li
Publikováno v:
Trials, Vol 25, Iss 1, Pp 1-11 (2024)
Abstract Background The increasing prevalence of childhood obesity has become an urgent public health problem, evidence showed that intervention for childhood obesity bring enormous health benefits. However, an effective individualized intervention s
Externí odkaz:
https://doaj.org/article/9324887467d944d89b25651c7e4ef4e5
Autor:
Xin-yu Zhao, Qing Zhao, Ning-ning Li, Chu-ting Wang, Yin-han Wang, Li-hui Meng, Han-yi Min, You-xin Chen
Publikováno v:
BMC Medical Education, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Background To compare the value and efficiency of the three-dimensional (3D) heads-up surgical system and traditional microscopic (TM) system in teaching and learning vitreoretinal surgeries. Methods Twenty ophthalmologists and scrub nurses
Externí odkaz:
https://doaj.org/article/20a14ffae2e14153af1a4328399350b7
Autor:
Ping-Ping Zhang, You-Xin Wang, Jia-Yin Gu, Miao Xu, Ye Zhou, Hai-Jun Wang, Patrick W C. Lau, Hui Wang, Li Li
Publikováno v:
Frontiers in Endocrinology, Vol 15 (2024)
BackgroundChildhood obesity tends to persist into adulthood, predisposing individuals to cardiometabolic risk (CMR). This study aims to investigate the mediating role of cardiorespiratory fitness (CRF) in the associations between multiple fatness ind
Externí odkaz:
https://doaj.org/article/6af8e9bd6b574a3c88ed5098b8cc6d16