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Akademický článek

The optimization and design of SCL decoding algorithm based on FPGA

Autor: Liao Haipeng, Qing Linbo, Teng Qizhi, He Xiaohai, Deng Yuanyuan

Publikováno v: Dianzi Jishu Yingyong, Vol 44, Iss 12, Pp 1-4 (2018)

In recent years, the contribution of polarization code to communication field is becoming more and more prominent, because the theory of polarization code is proved to be able to achieve the channel limit capacity in BDMC. The decoding system of pola

Externí odkaz: https://doaj.org/article/22040252eb2543b8920df61660664b44

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Attention-based 3D CNN with Multi-layer Features for Alzheimer's Disease Diagnosis using Brain Images

Autor: Zhang, Yanteng, Teng, Qizhi, He, Xiaohai, Niu, Tong, Zhang, Lipei, Liu, Yan, Ren, Chao

Publikováno v: The 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2023

Structural MRI and PET imaging play an important role in the diagnosis of Alzheimer's disease (AD), showing the morphological changes and glucose metabolism changes in the brain respectively. The manifestations in the brain image of some cognitive im

Externí odkaz: http://arxiv.org/abs/2308.05655

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Multi-modal Graph Neural Network for Early Diagnosis of Alzheimer's Disease from sMRI and PET Scans

Autor: Zhanga, Yanteng, He, Xiaohai, Chan, Yi Hao, Teng, Qizhi, Rajapakse, Jagath C.

In recent years, deep learning models have been applied to neuroimaging data for early diagnosis of Alzheimer's disease (AD). Structural magnetic resonance imaging (sMRI) and positron emission tomography (PET) images provide structural and functional

Externí odkaz: http://arxiv.org/abs/2307.16366

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A fast and flexible algorithm for microstructure reconstruction combining simulated annealing and deep learning

Autor: Ma, Zhenchuan, He, Xiaohai, Yan, Pengcheng, Zhang, Fan, Teng, Qizhi

The microstructure analyses of porous media have considerable research value for the study of macroscopic properties. As the premise of conducting these analyses, the accurate reconstruction of microstructure digital model is also an important compon

Externí odkaz: http://arxiv.org/abs/2304.12513

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Multiscale reconstruction of porous media based on multiple dictionaries learning

Autor: Yan, Pengcheng, Teng, Qizhi, He, Xiaohai, Ma, Zhenchuan, Zhang, Ningning

Digital modeling of the microstructure is important for studying the physical and transport properties of porous media. Multiscale modeling for porous media can accurately characterize macro-pores and micro-pores in a large-FoV (field of view) high-r

Externí odkaz: http://arxiv.org/abs/2205.08278

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