Xiuyuan Xu
Xiuyuan Xu
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MSCS-DeepLN: Evaluating lung nodule malignancy using multi-scale cost-sensitive neural networks
X Xu, C Wang, J Guo, Y Gan, J Wang, H Bai, L Zhang, W Li, Z Yi
Medical Image Analysis 65, 101772, 2020
DeepLN: a framework for automatic lung nodule detection using multi-resolution CT screening images
X Xu, C Wang, J Guo, L Yang, H Bai, W Li, Z Yi
Knowledge-Based Systems 189, 105128, 2020
Medimlp: using grad-cam to extract crucial variables for lung cancer postoperative complication prediction
T He, J Guo, N Chen, X Xu, Z Wang, K Fu, L Liu, Z Yi
IEEE journal of biomedical and health informatics 24 (6), 1762-1771, 2019
Multi-task Learning for the Segmentation of Thoracic Organs at Risk in CT images.
T He, J Guo, J Wang, X Xu, Z Yi
SegTHOR@ ISBI, 10-13, 2019
The application of artificial intelligence and radiomics in lung cancer
Y Zhou, X Xu, L Song, C Wang, J Guo, Z Yi, W Li
Precision Clinical Medicine 3 (3), 214-227, 2020
Deep learning to predict EGFR mutation and PD‐L1 expression status in non‐small‐cell lung cancer on computed tomography images
C Wang, X Xu, J Shao, K Zhou, K Zhao, Y He, J Li, J Guo, Z Yi, W Li
Journal of oncology 2021 (1), 5499385, 2021
DeepLNAnno: a web-based lung nodules annotating system for CT images
S Chen, J Guo, C Wang, X Xu, Z Yi, W Li
Journal of medical systems 43, 1-9, 2019
SurvNet: A novel deep neural network for lung cancer survival analysis with missing values
J Wang, N Chen, J Guo, X Xu, L Liu, Z Yi
Frontiers in Oncology 10, 588990, 2021
DeepLN: an artificial intelligence-based automated system for lung cancer screening
J Guo, C Wang, X Xu, J Shao, L Yang, Y Gan, Z Yi, W Li
Annals of Translational Medicine 8 (18), 2020
Deep learning empowers lung cancer screening based on mobile low-dose computed tomography in resource-constrained sites
J Shao, G Wang, L Yi, C Wang, T Lan, X Xu, J Guo, T Deng, D Liu, B Chen, ...
Frontiers in Bioscience-Landmark 27 (7), 212, 2022
Deepcxray: Automatically diagnosing diseases on chest x-rays using deep neural networks
X Xu, Q Guo, J Guo, Z Yi
IEEE Access 6, 66972-66983, 2018
Deepln: A multi-task AI tool to predict the imaging characteristics, malignancy and pathological subtypes in CT-detected pulmonary nodules
C Wang, J Shao, X Xu, L Yi, G Wang, C Bai, J Guo, Y He, L Zhang, Z Yi, ...
Frontiers in Oncology 12, 683792, 2022
Multi-label softmax networks for pulmonary nodule classification using unbalanced and dependent categories
L Yi, L Zhang, X Xu, J Guo
IEEE Transactions on Medical Imaging 42 (1), 317-328, 2022
Automatic airway tree segmentation based on multi-scale context information
K Zhou, N Chen, X Xu, Z Wang, J Guo, L Liu, Z Yi
International journal of computer assisted radiology and surgery 16, 219-230, 2021
RPLS-Net: pulmonary lobe segmentation based on 3D fully convolutional networks and multi-task learning
J Liu, C Wang, J Guo, J Shao, X Xu, X Liu, H Li, W Li, Z Yi
International Journal of Computer Assisted Radiology and Surgery 16, 895-904, 2021
A Novel Deep Neural Network for Lung Cancer Survival Analysis with Missing Values. Front
J Wang, N Chen, J Guo, X Xu, L Liu, ZSN Yi
Oncol 10 (588990), 10.3389, 2021
王成弟, 郭际香, 杨阳, 徐修远, 胡亦清, 杨澜, 章毅, 李为民
中国呼吸与危重症监护杂志 3, 288-294, 2019
A scale-aware UNet++ model combined with attentional context supervision and adaptive Tversky loss for accurate airway segmentation
Z Ke, X Xu, K Zhou, J Guo
Applied Intelligence 53 (15), 18138-18154, 2023
LTS-NET: Lung Tissue Segmentation from CT Images using Fully Convolutional Neural Network
L Zhou, X Xu, K Zhou, J Guo
2021 11th International Conference on Information Science and Technology …, 2021
Deep learning for precise diagnosis and subtype triage of drug‐resistant tuberculosis on chest computed tomography
S Liang, X Xu, Z Yang, Q Du, L Zhou, J Shao, J Guo, B Ying, W Li, ...
MedComm 5 (3), e487, 2024
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