Xiuyuan Xu

According to our database, Xiuyuan Xu authored at least 14 papers between 2018 and 2024.

Collaborative distances:

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

2024

Segmentation of Lung Lesions through Bilateral Learning Branches to Aggregating Contextual and Local Characteristics.

Hao Niu, Linjing Li, Bo Yuan, Min Zhu, Xiuyuan Xu, Xi Lu, Fengming Luo, Zhang Yi

Int. J. Comput. Intell. Syst., December, 2024

2023

A scale-aware UNet++ model combined with attentional context supervision and adaptive Tversky loss for accurate airway segmentation.

Zunyun Ke, Xiuyuan Xu, Kai Zhou, Jixiang Guo

Appl. Intell., August, 2023

The Gap in the Thickness: Estimating Effectiveness of Pulmonary Nodule Detection in Thick- and Thin-Section CT Images with 3D Deep Neural Networks.

Quan Guo, Chengdi Wang, Jixiang Guo, Hongli Bai, Xiuyuan Xu, Lan Yang, Jianyong Wang, Nan Chen, Zihuai Wang, Yuncui Gan, Lunxu Liu, Weimin Li, Zhang Yi

Comput. Methods Programs Biomed., February, 2023

Multi-Label Softmax Networks for Pulmonary Nodule Classification Using Unbalanced and Dependent Categories.

Le Yi, Lei Zhang, Xiuyuan Xu, Jixiang Guo

IEEE Trans. Medical Imaging, 2023

2022

Automatic Diagnose of Drug-Resistance Tuberculosis from CT Images Based on Deep Neural Networks.

Qiuyu Du, Shufan Liang, Jixiang Guo, Zhang Yi, Weiming Li, Chengdi Wang, Xiuyuan Xu

Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021

Automatic airway tree segmentation based on multi-scale context information.

Kai Zhou, Nan Chen, Xiuyuan Xu, Zihuai Wang, Jixiang Guo, Lunxu Liu, Zhang Yi

Int. J. Comput. Assist. Radiol. Surg., 2021

RPLS-Net: pulmonary lobe segmentation based on 3D fully convolutional networks and multi-task learning.

Jinxin Liu, Chengdi Wang, Jixiang Guo, Jun Shao, Xiuyuan Xu, Xiaoxin Liu, Hongxia Li, Weimin Li, Zhang Yi

Int. J. Comput. Assist. Radiol. Surg., 2021

Application of Internet Plus: TCM Clinical Intelligent Decision Making.

Jun Xie, Sijie Dang, Xiuyuan Xu, Jixiang Guo, Xiaozhi Zhang, Zhang Yi

Proceedings of the Advances in Swarm Intelligence - 12th International Conference, 2021

2020

MediMLP: Using Grad-CAM to Extract Crucial Variables for Lung Cancer Postoperative Complication Prediction.

Tao He, Jixiang Guo, Nan Chen, Xiuyuan Xu, Zihuai Wang, Kaiyu Fu, Lunxu Liu, Zhang Yi

IEEE J. Biomed. Health Informatics, 2020

MSCS-DeepLN: Evaluating lung nodule malignancy using multi-scale cost-sensitive neural networks.

Xiuyuan Xu, Chengdi Wang, Jixiang Guo, Yuncui Gan, Jianyong Wang, Hongli Bai, Lei Zhang, Weimin Li, Zhang Yi

Medical Image Anal., 2020

DeepLN: A framework for automatic lung nodule detection using multi-resolution CT screening images.

Xiuyuan Xu, Chengdi Wang, Jixiang Guo, Lan Yang, Hongli Bai, Weimin Li, Zhang Yi

Knowl. Based Syst., 2020

2019

DeepLNAnno: a Web-Based Lung Nodules Annotating System for CT Images.

Sihang Chen, Jixiang Guo, Chengdi Wang, Xiuyuan Xu, Zhang Yi, Weimin Li

J. Medical Syst., 2019

Multi-task Learning for the Segmentation of Thoracic Organs at Risk in CT images.

Tao He, Jixiang Guo, Jianyong Wang, Xiuyuan Xu, Zhang Yi

Proceedings of the 2019 Challenge on Segmentation of THoracic Organs at Risk in CT Images, 2019

2018

DeepCXray: Automatically Diagnosing Diseases on Chest X-Rays Using Deep Neural Networks.

Xiuyuan Xu, Quan Guo, Jixiang Guo, Zhang Yi

IEEE Access, 2018