Xiaotang Yang

According to our database, Xiaotang Yang authored at least 16 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Imaging segmentation mechanism for rectal tumors using improved U-Net.

Kenan Zhang, Xiaotang Yang, Yanfen Cui, Jumin Zhao, Dengao Li

BMC Medical Imaging, December, 2024

A novel GAN-based three-axis mutually supervised super-resolution reconstruction method for rectal cancer MR image.

Huiting Zhang, Xiaotang Yang, Yanfen Cui, Qiang Wang, Jumin Zhao, Dengao Li

Comput. Methods Programs Biomed., 2024

2023

RTAU-Net: A novel 3D rectal tumor segmentation model based on dual path fusion and attentional guidance.

Dengao Li, Juan Wang, Jicheng Yang, Jumin Zhao, Xiaotang Yang, Yanfen Cui, Kenan Zhang

Comput. Methods Programs Biomed., December, 2023

Joint-phase attention network for breast cancer segmentation in DCE-MRI.

Rian Huang, Zeyan Xu, Yu Xie, Hong Wu, Zixian Li, Yanfen Cui, Yingwen Huo, Chu Han, Xiaotang Yang, Zaiyi Liu, Yi Wang

Expert Syst. Appl., August, 2023

Dual parallel net: A novel deep learning model for rectal tumor segmentation via CNN and transformer with Gaussian Mixture prior.

Huiting Zhang, Xiaotang Yang, Dengao Li, Yanfen Cui, Jumin Zhao, Shuang Qiu

J. Biomed. Informatics, March, 2023

2022

Improved heterogeneous data fusion and multi-scale feature selection method for lung cancer subtype classification.

Yanan Zhang, Juanjuan Zhao, Yan Qiang, Xiaotang Yang, Wei Wu, Liye Jia

Concurr. Comput. Pract. Exp., 2022

Improved U-Net based on contour prediction for efficient segmentation of rectal cancer.

Dengao Li, Xiaohui Chu, Yanfen Cui, Jumin Zhao, Kenan Zhang, Xiaotang Yang

Comput. Methods Programs Biomed., 2022

Contrast-enhanced CT-based radiomics model for differentiating risk subgroups of thymic epithelial tumors.

Chunhai Yu, Ting Li, Xiaotang Yang, Ruiping Zhang, Lei Xin, Zhikai Zhao, Jingjing Cui

BMC Medical Imaging, 2022

2021

Integrate domain knowledge in training multi-task cascade deep learning model for benign-malignant thyroid nodule classification on ultrasound images.

Wenkai Yang, Yunyun Dong, Qianqian Du, Yan Qiang, Kun Wu, Juanjuan Zhao, Xiaotang Yang, Muhammad Bilal Zia

Eng. Appl. Artif. Intell., 2021

Segmentation of Liver Lesions Without Contrast Agents With Radiomics-Guided Densely UNet-Nested GAN.

Xiaojiao Xiao, Yan Qiang, Juanjuan Zhao, Xingyu Yang, Xiaotang Yang

IEEE Access, 2021

2020

Iterative PET image reconstruction using cascaded data consistency generative adversarial network.

Qianqian Du, Xueting Ren, Jiawen Wang, Yan Qiang, Xiaotang Yang, Ntikurako Guy-Fernand Kazihise

IET Image Process., 2020

Joint DBN and Fuzzy C-Means unsupervised deep clustering for lung cancer patient stratification.

Zijuan Zhao, Juanjuan Zhao, Kai Song, Akbar Hussain, Qianqian Du, Yunyun Dong, Jihua Liu, Xiaotang Yang

Eng. Appl. Artif. Intell., 2020

Knowledge-guided synthetic medical image adversarial augmentation for ultrasonography thyroid nodule classification.

Guohua Shi, Jiawen Wang, Yan Qiang, Xiaotang Yang, Juanjuan Zhao, Rui Hao, Wenkai Yang, Qianqian Du, Ntikurako Guy-Fernand Kazihise

Comput. Methods Programs Biomed., 2020

Multi-branch cross attention model for prediction of KRAS mutation in rectal cancer with t2-weighted MRI.

Jiawen Wang, Yanfen Cui, Guohua Shi, Juanjuan Zhao, Xiaotang Yang, Yan Qiang, Qianqian Du, Yue Ma, Ntikurako Guy-Fernand Kazihise

Appl. Intell., 2020

2019

DScGANS: Integrate Domain Knowledge in Training Dual-Path Semi-supervised Conditional Generative Adversarial Networks and S3VM for Ultrasonography Thyroid Nodules Classification.

Wenkai Yang, Juanjuan Zhao, Yan Qiang, Xiaotang Yang, Yunyun Dong, Qianqian Du, Guohua Shi, Muhammad Bilal Zia

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Radiomics-guided GAN for Segmentation of Liver Tumor Without Contrast Agents.

Xiaojiao Xiao, Juanjuan Zhao, Yan Qiang, Jaron Chong, Xiaotang Yang, Ntikurako Guy-Fernand Kazihise, Bo Chen, Shuo Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019