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Frontiers in Plant Science|October 4, 2023
High-throughput and separating-free phenotyping method for on-panicle rice grains based on deep learningYuwei Lu, Jinhu Wang, Ling Fu, et al.Frontiers in Plant Science|January 30, 2023
Nondestructive 3D phenotyping method of passion fruit based on X-ray micro-computed tomography and deep learningYuwei Lu, Rui Wang, Tianyu Hu, et al.Plant Phenomics (Washington, D.C.)|December 19, 2025
XFruitSeg-A general plant fruit segmentation model based on CT imagingYuwei Lu, Xiaolong Kong, Li Yu, et al.Frontiers in Plant Science|December 23, 2022
A non-destructive coconut fruit and seed traits extraction method based on Micro-CT and deeplabV3+ modelLejun Yu, Lingbo Liu, Wanneng Yang, et al.Journal of Biomedical Optics|May 19, 2022
No-reference image quality assessment for confocal endoscopy images with perceptual local descriptorXiangjiang Dong, Ling Fu, Qian LiuFrontiers in Plant Science|December 13, 2021
PocketMaize: An Android-Smartphone Application for Maize Plant PhenotypingLingbo Liu, Lejun Yu, Dan Wu, et al.Frontiers in Plant Science|February 6, 2025
Accurate LAI estimation of soybean plants in the field using deep learning and clustering algorithmsBing Shi, Luqi Guo, Lejun YuPlant Methods|February 7, 2017
A high-throughput stereo-imaging system for quantifying rape leaf traits during the seedling stageXiong Xiong, Lejun Yu, Wanneng Yang, et al.Biomedical Optics Express|October 3, 2017
Visible continuum pulses based on enhanced dispersive wave generation for endogenous fluorescence imagingQuan Cui, Zhongyun Chen, Qian Liu, et al.Biomedical Optics Express|October 16, 2018
Near-infrared probe-based confocal microendoscope for deep-tissue imagingJiafu Wang, Hua Li, Geng Tian, et al.Pageof 787