Xiuyuan Xu
Orcid: 0000-0002-2505-4350
According to our database1,
Xiuyuan Xu
authored at least 17 papers
between 2018 and 2024.
Collaborative distances:
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Bibliography
2024
Segmentation of Lung Lesions through Bilateral Learning Branches to Aggregating Contextual and Local Characteristics.
Int. J. Comput. Intell. Syst., December, 2024
Int. J. Neural Syst., September, 2024
ICNoduleNet: Enhancing Pulmonary Nodule Detection Performance on Sharp Kernel CT Imaging.
IEEE J. Biomed. Health Informatics, August, 2024
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
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
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
J. Medical Syst., 2019
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