Zobrazeno 1 - 10
of 1 832
pro vyhledávání: '"LIU, CHUNLEI"'
Autor:
Lao, Guoyan, Feng, Ruimin, Qi, Haikun, Lv, Zhenfeng, Liu, Qiangqiang, Liu, Chunlei, Zhang, Yuyao, Wei, Hongjiang
Quantitative magnetic resonance imaging (qMRI) offers tissue-specific physical parameters with significant potential for neuroscience research and clinical practice. However, lengthy scan times for 3D multiparametric qMRI acquisition limit its clinic
Externí odkaz:
http://arxiv.org/abs/2410.01577
Autor:
Liu, Chunlei
A new combinatorial game is given. It generalizes both Substraction and Nim. It is proved the computation of Nash equilibrium points in this new game is NP-hard.
Externí odkaz:
http://arxiv.org/abs/2408.13834
Parallel imaging is a commonly used technique to accelerate magnetic resonance imaging (MRI) data acquisition. Mathematically, parallel MRI reconstruction can be formulated as an inverse problem relating the sparsely sampled k-space measurements to t
Externí odkaz:
http://arxiv.org/abs/2311.12892
Autor:
Bilgic, Berkin, Costagli, Mauro, Chan, Kwok-Shing, Duyn, Jeff, Langkammer, Christian, Lee, Jongho, Li, Xu, Liu, Chunlei, Marques, José P., Milovic, Carlos, Robinson, Simon Daniel, Schweser, Ferdinand, Shmueli, Karin, Spincemaille, Pascal, Straub, Sina, van Zijl, Peter, Wang, Yi, Group, ISMRM Electro-Magnetic Tissue Properties Study
This article provides recommendations for implementing quantitative susceptibility mapping (QSM) for clinical brain research. It is a consensus of the ISMRM Electro-Magnetic Tissue Properties Study Group. While QSM technical development continues to
Externí odkaz:
http://arxiv.org/abs/2307.02306
Autor:
Liu, Chunlei
On a Goppa code whose structure polynomial has coefficients in the symbol field, the Frobenius acts. Its fixed codewords form a subcode. Deleting the naturally occurred redundance, we obtain a new code. It is proved that these new codes approach the
Externí odkaz:
http://arxiv.org/abs/2305.19565
Autor:
Qi, Hang1 (AUTHOR) qihang@qfnu.edu.cn, Liu, Chunlei1 (AUTHOR) liuchunlei@qfnu.edu.cn
Publikováno v:
Brain Sciences (2076-3425). Nov2024, Vol. 14 Issue 11, p1094. 13p.
Autor:
Xing, Xingrun, Li, Yangguang, Li, Wei, Ding, Wenrui, Jiang, Yalong, Wang, Yufeng, Shao, Jing, Liu, Chunlei, Liu, Xianglong
Existing Binary Neural Networks (BNNs) mainly operate on local convolutions with binarization function. However, such simple bit operations lack the ability of modeling contextual dependencies, which is critical for learning discriminative deep repre
Externí odkaz:
http://arxiv.org/abs/2209.01404
Publikováno v:
In Journal of the Franklin Institute January 2025 362(1)
Publikováno v:
In International Journal of Biological Macromolecules January 2025 286
Publikováno v:
In Ocean Engineering 15 December 2024 314 Part 1