Publications by authors named "Linzhi Su"

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Adaptive Online Variational Bayesian Method based on Normal-Generalized Inverse Gaussian Prior for Bioluminescence Tomography.
Yiting He, Xingxing Hao, Yi Chen, Linzhi Su, Chenyang Zhang

Annu Int Conf IEEE Eng Med Biol Soc· July 2025

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Sparse Reconstruction based on K-Sparse Dictionary Learning Method for Bioluminescence Tomography.
Kang Li, Bianbian Yang, Yi Chen, Linzhi Su, Chenyang Zhang

Annu Int Conf IEEE Eng Med Biol Soc· July 2025

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Investigating the Influence of Laser-Etched Straight and Wavy Textures on Grinding Efficiency and Tool Quality of WC-Co Carbide Cutting Tools.
Chao Li, Tielin Li, Xiaohong Zhang, Tianzhongsen He, Linzhi Su

Materials (Basel)· January 2025

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Dictionary Learning Method Based on K-Sparse Approximation and Orthogonal Procrustes Analysis for Reconstruction in Bioluminescence Tomography.
Linzhi Su, Limin Chen, Wenlong Tang, Huimin Gao, Yi Chen

J Biophotonics· November 2024

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EIDU-Net: edge-preserved inception DenseGCN U-Net for LiDAR point cloud segmentation.
Xueli Xu, Jingyu Wang, Qiuquan Zhu, Ping Zhou, Guohua Geng, Linzhi Su

Sci Rep· October 2024

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SODL-IR-FISTA: sparse online dictionary learning with iterative reduction FISTA for cone-beam X-ray luminescence computed tomography.
Xin Cao, Wenlong Tang, Huimin Gao, Yifan Wang, Yi Chen, Linzhi Su

Biomed Opt Express· September 2024

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SBL-LCGL: sparse Bayesian learning based on Laplace distribution for robust cone-beam x-ray luminescence computed tomography.
Yifan Wang, Haoyu Wang, Qiuquan Zhu, Yi Chen, Linzhi Su

Phys Med Biol· August 2024

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Logarithmic total variation regularization via preconditioned conjugate gradient method for sparse reconstruction of bioluminescence tomography.
Gege Zhang, Jun Zhang, Yi Chen, Mengfei Du, Kang Li, Linzhi Su

Comput Methods Programs Biomed· January 2024

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Regularized reconstruction based on joint smoothly clipped absolute deviation regularization and graph manifold learning for fluorescence molecular tomography.
Jun Zhang, Gege Zhang, Yi Chen, Kang Li, Fengjun Zhao, Linzhi Su

Phys Med Biol· September 2023

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Sparse reconstruction based on dictionary learning and group structure strategy for cone-beam X-ray luminescence computed tomography.
Yi Chen, Mengfei Du, Gege Zhang, Jun Zhang, Kang Li, Linzhi Su

Opt Express· July 2023

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K-CapsNet: K-Nearest Neighbor Based Convolution Capsule Network for Cerenkov Luminescence Tomography Reconstruction.
Xin Cao, Weitong Li, Yi Chen, Mengfei Du, Gege Zhang, Linzhi Su

Annu Int Conf IEEE Eng Med Biol Soc· July 2023

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Generalized conditional gradient method with adaptive regularization parameters for fluorescence molecular tomography.
Yi Chen, Mengfei Du, Jun Zhang, Gege Zhang, Linzhi Su

Opt Express· May 2023

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ABPO-TVSCAD: alternating Bregman proximity operators approach based on TVSCAD regularization for bioluminescence tomography.
Yi Chen, Mengfei Du, Weitong Li, Linzhi Su, Huangjian Yi

Phys Med Biol· October 2022

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Elastic net-based non-negative iterative three-operator splitting strategy for Cerenkov luminescence tomography.
Yi Chen, Weitong Li, Mengfei Du, Linzhi Su, Huangjian Yi

Opt Express· September 2022

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PET/CT Based EGFR Mutation Status Classification of NSCLC Using Deep Learning Features and Radiomics Features.
Weicheng Huang, Jingyi Wang, Haolin Wang, Yuxiang Zhang, Fengjun Zhao, Linzhi Su

Front Pharmacol· April 2022

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Simplification method for 3D Terracotta Warrior fragments based on local structure and deep neural networks.
Guohua Geng, Jie Liu, Xin Cao, Yangyang Liu, Wei Zhou, Linzhi Su

J Opt Soc Am A Opt Image Sci Vis· November 2020

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A Multiobjective Sparse Feature Learning Model for Deep Neural Networks.
Maoguo Gong, Jia Liu, Hao Li, Qing Cai, Linzhi Su

IEEE Trans Neural Netw Learn Syst· December 2015

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