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Partitioned Hankel-based Diffusion Models for Few-shot Low-dose CT Reconstruction

Autor: Zhang, Wenhao, Huang, Bin, Chen, Shuyue, Xu, Xiaoling, Wu, Weiwen, Liu, Qiegen

Low-dose computed tomography (LDCT) plays a vital role in clinical applications by mitigating radiation risks. Nevertheless, reducing radiation doses significantly degrades image quality. Concurrently, common deep learning methods demand extensive da

Externí odkaz: http://arxiv.org/abs/2405.17167

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Partition-based K-space Synthesis for Multi-contrast Parallel Imaging

Autor: Huang, Yuxia, Wu, Zhonghui, Xu, Xiaoling, Zhang, Minghui, Wang, Shanshan, Liu, Qiegen

Multi-contrast magnetic resonance imaging is a significant and essential medical imaging technique.However, multi-contrast imaging has longer acquisition time and is easy to cause motion artifacts. In particular, the acquisition time for a T2-weighte

Externí odkaz: http://arxiv.org/abs/2312.00387

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Akademický článek

Progress in Remote Sensing of Heavy Metals in Water.

Autor: Xu, Xiaoling^1,2 (AUTHOR) xuxiaoling@jxnu.edu.cn, Pan, Jiayi^1,3 (AUTHOR) panj@cuhk.edu.hk, Zhang, Hua^1,2 (AUTHOR) huilin@cuhk.edu.hk, Lin, Hui^1,2 (AUTHOR)

Publikováno v: Remote Sensing. Oct2024, Vol. 16 Issue 20, p3888. 14p.

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Low-rank Tensor Assisted K-space Generative Model for Parallel Imaging Reconstruction

Autor: Zhang, Wei, Xiao, Zengwei, Tao, Hui, Zhang, Minghui, Xu, Xiaoling, Liu, Qiegen

Although recent deep learning methods, especially generative models, have shown good performance in fast magnetic resonance imaging, there is still much room for improvement in high-dimensional generation. Considering that internal dimensions in scor

Externí odkaz: http://arxiv.org/abs/2212.05503

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Akademický článek

Analysis of mangrove distribution and suitable habitat in Beihai, China, using optimized MaxEnt modeling: improving mangrove restoration efficiency

Autor: Li Lifeng, Liu Wenai, Wang Mo, Cai Shuangjiao, Liu Fuqin, Xu Xiaoling, Tao Yancheng, Xue Yunhong, Jiang Weiguo

Publikováno v: Frontiers in Forests and Global Change, Vol 7 (2024)

IntroductionMangroves are an important component of coastal ecosystems, and determining the spatial dispersion of prevalent mangrove species and the most suitable land-use source for mangrove growth is of great importance for judicious restoration an

Externí odkaz: https://doaj.org/article/fcb63cef24004360927ac3d89624a4d1

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Multi-Weight Respecification of Scan-specific Learning for Parallel Imaging

Autor: Tao, Hui, Wang, Haifeng, Wang, Shanshan, Liang, Dong, Xu, Xiaoling, Liu, Qiegen

Parallel imaging is widely used in magnetic resonance imaging as an acceleration technology. Traditional linear reconstruction methods in parallel imaging often suffer from noise amplification. Recently, a non-linear robust artificial-neural-network

Externí odkaz: http://arxiv.org/abs/2204.01979

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