Benxiang Jiang

According to our database, Benxiang Jiang authored at least 8 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Robust Dental Arch Curve Optimization Using a Standard Arch Form for Panoramic Reconstruction.

Songze Zhang, Benxiang Jiang, Jingyi Lyu, Hongjian Shi

Proceedings of the Oral and Dental Image Analysis - First International Workshop, 2025

3D Dental Arch Curve Detection from CBCT Images and Its Applications to Tooth Segmentation.

Benxiang Jiang, Songze Zhang, Jingyi Lyu, Hongjian Shi

Proceedings of the Oral and Dental Image Analysis - First International Workshop, 2025

2022

Alternate Level Set Evolutions With Controlled Switch for Tooth Segmentation.

Benxiang Jiang, Songze Zhang, Mengyao Shi, Hai-Lin Liu, Hongjian Shi

IEEE Access, 2022

2021

Accurate and automatic tooth image segmentation model with deep convolutional neural networks and level set method.

Yunyun Yang, Ruicheng Xie, Wenjing Jia, Zhaoyang Chen, Yunna Yang, Lipeng Xie, Benxiang Jiang

Neurocomputing, 2021

2020

Deep Learning Initialized and Gradient Enhanced Level-Set Based Segmentation for Liver Tumor From CT Images.

Yue Zhang, Benxiang Jiang, Jiong Wu, Dongcen Ji, Yilong Liu, Yifan Chen, Ed X. Wu, Xiaoying Tang

IEEE Access, 2020

Dental pulp segmentation from cone-beam computed tomography images.

Benxiang Jiang, Jinjing Hu, Ji Li, Yizhuo Wang, Yue Zhang, Hongjian Shi, Xiaoying Tang, Chunming Li

Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020

Deep Learning and Unsupervised Fuzzy C-Means Based Level-Set Segmentation for Liver Tumor.

Yue Zhang, Jiong Wu, Benxiang Jiang, Dongcen Ji, Yifan Chen, Ed X. Wu, Xiaoying Tang

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Region Growing Model with Edge Restrictions for Multiple Roots Tooth Segmentation.

Benxiang Jiang, Yue Zhang, Xiaoying Tang, Hongjian Shi

Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019