Zhigang Sun

UAV-based indicators of crop growth are robust for distinct water and nutrient management but vary between crop development phases

S. Siebert, E. Rezaei, W. Zhu, 2022, Field Crops Research.

Deep convolutional neural networks for estimating maize above-ground biomass using multi-source UAV images: a comparison with traditional machine learning algorithms

Yijian Zeng, Z. Su, Y. Zha, 2022, Precision Agriculture.

Cervical cancer screening in high-altitude areas in China: A large cross-section study of 25,173 women in northern Tibet

Nan Jiang, Zhuowei Shen, Zhen Xiao, 2022, Frontiers in Oncology.

Five abdominal computer tomography characteristics facilitate diagnosis of spontaneous perforation of pyometra in women with acute abdomen: a case control study

Rui Ma, Zhen Xiao, Penglong Cao, 2021, Clinical and Experimental Obstetrics & Gynecology.

Plant Density Estimation Using UAV Imagery and Deep Learning

E. Rezaei, Heling Li, Zhigang Sun, 2022, Remote. Sens..

Ultralow dose computed tomography protocol for hook‐wire localization of solitary pulmonary nodules prior to video‐assisted thoracoscopic surgery

Bo Liu, Chunhai Li, Haipeng Jia, 2019, Thoracic cancer.

UAV Flight Height Impacts on Wheat Biomass Estimation via Machine and Deep Learning

S. Siebert, E. Rezaei, Jing Li, 2023, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Combination of UAV and deep learning to estimate wheat yield at ripening stage: The potential of phenotypic features

Zhigang Sun, Jing Li, Wanxue Zhu, 2023, Int. J. Appl. Earth Obs. Geoinformation.