Su L - Search Results

1

EIDU-Net: edge-preserved inception DenseGCN U-Net for LiDAR point cloud segmentation.

Xu X, Wang J, Zhu Q, Zhou P, Geng G, Li K, Su L, Cao X. Xu X, et al. Among authors: su l. Sci Rep. 2024 Oct 19;14(1):24620. doi: 10.1038/s41598-024-74690-0. Sci Rep. 2024. PMID: 39427020 Free PMC article.

2

Regularized reconstruction based on joint smoothly clipped absolute deviation regularization and graph manifold learning for fluorescence molecular tomography.

Zhang J, Zhang G, Chen Y, Li K, Zhao F, Yi H, Su L, Cao X. Zhang J, et al. Among authors: su l. Phys Med Biol. 2023 Sep 19;68(19). doi: 10.1088/1361-6560/acf55a. Phys Med Biol. 2023. PMID: 37647921

3

PET/CT Based EGFR Mutation Status Classification of NSCLC Using Deep Learning Features and Radiomics Features.

Huang W, Wang J, Wang H, Zhang Y, Zhao F, Li K, Su L, Kang F, Cao X. Huang W, et al. Among authors: su l. Front Pharmacol. 2022 Apr 27;13:898529. doi: 10.3389/fphar.2022.898529. eCollection 2022. Front Pharmacol. 2022. PMID: 35571081 Free PMC article.

4

Logarithmic total variation regularization via preconditioned conjugate gradient method for sparse reconstruction of bioluminescence tomography.

Zhang G, Zhang J, Chen Y, Du M, Li K, Su L, Yi H, Zhao F, Cao X. Zhang G, et al. Among authors: su l. Comput Methods Programs Biomed. 2024 Jan;243:107863. doi: 10.1016/j.cmpb.2023.107863. Epub 2023 Oct 12. Comput Methods Programs Biomed. 2024. PMID: 37871449

5

ABPO-TVSCAD: alternating Bregman proximity operators approach based on TVSCAD regularization for bioluminescence tomography.

Chen Y, Du M, Li W, Su L, Yi H, Zhao F, Li K, Wang L, Cao X. Chen Y, et al. Among authors: su l. Phys Med Biol. 2022 Oct 27;67(21). doi: 10.1088/1361-6560/ac994c. Phys Med Biol. 2022. PMID: 36220011

6

SBL-LCGL: sparse Bayesian learning based on Laplace distribution for robust cone-beam x-ray luminescence computed tomography.

Wang Y, Wang H, Zhu Q, Chen Y, Su L, Yi H, Gao C, Cao X. Wang Y, et al. Among authors: su l. Phys Med Biol. 2024 Aug 30;69(17). doi: 10.1088/1361-6560/ad7223. Phys Med Biol. 2024. PMID: 39168153

7

Simplification method for 3D Terracotta Warrior fragments based on local structure and deep neural networks.

Geng G, Liu J, Cao X, Liu Y, Zhou W, Zhao F, Su L, Li K, Zhou M. Geng G, et al. Among authors: su l. J Opt Soc Am A Opt Image Sci Vis. 2020 Nov 1;37(11):1711-1720. doi: 10.1364/JOSAA.400571. J Opt Soc Am A Opt Image Sci Vis. 2020. PMID: 33175747

8

Dictionary Learning Method Based on K-Sparse Approximation and Orthogonal Procrustes Analysis for Reconstruction in Bioluminescence Tomography.

Su L, Chen L, Tang W, Gao H, Chen Y, Gao C, Yi H, Cao X. Su L, et al. J Biophotonics. 2024 Nov;17(11):e202400308. doi: 10.1002/jbio.202400308. Epub 2024 Oct 7. J Biophotonics. 2024. PMID: 39375540

9

SODL-IR-FISTA: sparse online dictionary learning with iterative reduction FISTA for cone-beam X-ray luminescence computed tomography.

Cao X, Tang W, Gao H, Wang Y, Chen Y, Gao C, Zhao F, Su L. Cao X, et al. Among authors: su l. Biomed Opt Express. 2024 Aug 12;15(9):5162-5179. doi: 10.1364/BOE.531828. eCollection 2024 Sep 1. Biomed Opt Express. 2024. PMID: 39296417 Free PMC article.

10

Elastic net-based non-negative iterative three-operator splitting strategy for Cerenkov luminescence tomography.

Chen Y, Li W, Du M, Su L, Yi H, Zhao F, Li K, Wang L, Cao X. Chen Y, et al. Among authors: su l. Opt Express. 2022 Sep 26;30(20):35282-35299. doi: 10.1364/OE.465501. Opt Express. 2022. PMID: 36258483 Free article.

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