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Ruiyang Li

Showing results (81-90 of 130) with videos related to

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Theriogenology|January 24, 2025
Supplementation with N-Acetyl-L-cysteine during in vitro maturation improves goat oocyte developmental competence by regulating oxidative stressYanfei Wang, Qingwei Wang, Quan Ji, et al.
Theriogenology|December 14, 2024
Effects of different concentrations of N-acetylcysteine on the sperm quality, antioxidant enzyme activity, and antioxidant gene expression of cryopreserved goat semenXiaodong Wang, Jinhong Luo, Maosheng Cao, et al.
Cell Biology International|July 29, 2025
Fibroblast-Derived Extracellular Vesicles Ameliorate the Skin Injury Microenvironment to Promote Wound HealingMinjie Liu, Ganqin Ye, Ruiyang Li, et al.
Quantitative Imaging in Medicine and Surgery|September 2, 2025
An innovative bimodal computed tomography data-driven deep learning model for predicting aortic dissection: a multi-center studyZiqian Li, Lintao Chen, Shengxuming Zhang, et al.
Research (Washington, D.C.)|March 2, 2026
Foundation Models Meet Medical Image InterpretationLicheng Jiao, Jiayao Hao, Ruiyang Li, et al.
Journal of Animal Science and Biotechnology|April 19, 2026
Dietary N-acetylcysteine enhances sperm motility by remodeling the rumen microbiome and its metabolic axis in goatsJinhong Luo, Xiaodong Wang, Yonghong Ju, et al.
Frontiers in Veterinary Science|June 11, 2025
Whole-genome resequencing reveals genetic diversity and selection signatures of Tongjiang and five goat breedsSiyuan Zhan, Jing Luo, Ruiyang Li, et al.
Frontiers in Medicine|May 24, 2021
Improving the Generalizability of Infantile Cataracts Detection via Deep Learning-Based Lens Partition Strategy and Multicenter DatasetsJiewei Jiang, Shutao Lei, Mingmin Zhu, et al.
Medical Image Analysis|May 22, 2026
MADCrowner: Margin Aware Dental Crown design with template deformation and refinementLinda Wei, Chang Liu, Wenran Zhang, et al.
Annals of Translational Medicine|July 4, 2020
Automatic identification of myopia based on ocular appearance images using deep learningYahan Yang, Ruiyang Li, Duoru Lin, et al.
Pageof 13

Showing results (81-90 of 130) with videos related to

Sort By:
Pageof 13
Theriogenology|January 24, 2025
Supplementation with N-Acetyl-L-cysteine during in vitro maturation improves goat oocyte developmental competence by regulating oxidative stressYanfei Wang, Qingwei Wang, Quan Ji, et al.
Theriogenology|December 14, 2024
Effects of different concentrations of N-acetylcysteine on the sperm quality, antioxidant enzyme activity, and antioxidant gene expression of cryopreserved goat semenXiaodong Wang, Jinhong Luo, Maosheng Cao, et al.
Cell Biology International|July 29, 2025
Fibroblast-Derived Extracellular Vesicles Ameliorate the Skin Injury Microenvironment to Promote Wound HealingMinjie Liu, Ganqin Ye, Ruiyang Li, et al.
Quantitative Imaging in Medicine and Surgery|September 2, 2025
An innovative bimodal computed tomography data-driven deep learning model for predicting aortic dissection: a multi-center studyZiqian Li, Lintao Chen, Shengxuming Zhang, et al.
Research (Washington, D.C.)|March 2, 2026
Foundation Models Meet Medical Image InterpretationLicheng Jiao, Jiayao Hao, Ruiyang Li, et al.
Journal of Animal Science and Biotechnology|April 19, 2026
Dietary N-acetylcysteine enhances sperm motility by remodeling the rumen microbiome and its metabolic axis in goatsJinhong Luo, Xiaodong Wang, Yonghong Ju, et al.
Frontiers in Veterinary Science|June 11, 2025
Whole-genome resequencing reveals genetic diversity and selection signatures of Tongjiang and five goat breedsSiyuan Zhan, Jing Luo, Ruiyang Li, et al.
Frontiers in Medicine|May 24, 2021
Improving the Generalizability of Infantile Cataracts Detection via Deep Learning-Based Lens Partition Strategy and Multicenter DatasetsJiewei Jiang, Shutao Lei, Mingmin Zhu, et al.
Medical Image Analysis|May 22, 2026
MADCrowner: Margin Aware Dental Crown design with template deformation and refinementLinda Wei, Chang Liu, Wenran Zhang, et al.
Annals of Translational Medicine|July 4, 2020
Automatic identification of myopia based on ocular appearance images using deep learningYahan Yang, Ruiyang Li, Duoru Lin, et al.
Pageof 13