Xiuyuan Xu

Orcid: 0000-0002-2505-4350

According to our database1, Xiuyuan Xu authored at least 17 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Segmentation of Lung Lesions through Bilateral Learning Branches to Aggregating Contextual and Local Characteristics.
Int. J. Comput. Intell. Syst., December, 2024

A Forward Learning Algorithm for Neural Memory Ordinary Differential Equations.
Int. J. Neural Syst., September, 2024

ICNoduleNet: Enhancing Pulmonary Nodule Detection Performance on Sharp Kernel CT Imaging.
IEEE J. Biomed. Health Informatics, August, 2024

Efficient and Gender-Adaptive Graph Vision Mamba for Pediatric Bone Age Assessment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
A scale-aware UNet++ model combined with attentional context supervision and adaptive Tversky loss for accurate airway segmentation.
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.
Comput. Methods Programs Biomed., February, 2023

Multi-Label Softmax Networks for Pulmonary Nodule Classification Using Unbalanced and Dependent Categories.
IEEE Trans. Medical Imaging, 2023

2022
Automatic Diagnose of Drug-Resistance Tuberculosis from CT Images Based on Deep Neural Networks.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021
Automatic airway tree segmentation based on multi-scale context information.
Int. J. Comput. Assist. Radiol. Surg., 2021

RPLS-Net: pulmonary lobe segmentation based on 3D fully convolutional networks and multi-task learning.
Int. J. Comput. Assist. Radiol. Surg., 2021

Application of Internet Plus: TCM Clinical Intelligent Decision Making.
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.
IEEE J. Biomed. Health Informatics, 2020

MSCS-DeepLN: Evaluating lung nodule malignancy using multi-scale cost-sensitive neural networks.
Medical Image Anal., 2020

DeepLN: A framework for automatic lung nodule detection using multi-resolution CT screening images.
Knowl. Based Syst., 2020

2019
DeepLNAnno: a Web-Based Lung Nodules Annotating System for CT Images.
J. Medical Syst., 2019

Multi-task Learning for the Segmentation of Thoracic Organs at Risk in CT images.
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.
IEEE Access, 2018


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