Xiaokun Liang
Orcid: 0000-0002-1207-5726
According to our database1,
Xiaokun Liang
authored at least 33 papers
between 2018 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
Hybrid multiple instance learning network for weakly supervised medical image classification and localization.
Expert Syst. Appl., 2025
2024
Unsupervised CT Metal Artifact Reduction by Plugging Diffusion Priors in Dual Domains.
IEEE Trans. Medical Imaging, October, 2024
A statistical deformation model-based data augmentation method for volumetric medical image segmentation.
Medical Image Anal., January, 2024
Volumetric tumor tracking from a single cone-beam X-ray projection image enabled by deep learning.
Medical Image Anal., January, 2024
Mammo-Clustering:A Weakly Supervised Multi-view Global-Local Context Clustering Network for Detection and Classification in Mammography.
CoRR, 2024
Comput. Medical Imaging Graph., 2024
2023
BMC Medical Informatics Decis. Mak., December, 2023
An unsupervised dual contrastive learning framework for scatter correction in cone-beam CT image.
Comput. Biol. Medicine, October, 2023
An attention-based deep convolutional neural network for ultra-sparse-view CT reconstruction.
Comput. Biol. Medicine, July, 2023
An Unsupervised Learning-Based Regional Deformable Model for Automated Multi-Organ Contour Propagation.
J. Digit. Imaging, June, 2023
IEEE Trans. Medical Imaging, May, 2023
Comput. Biol. Medicine, March, 2023
XTransCT: Ultra-Fast Volumetric CT Reconstruction using Two Orthogonal X-Ray Projections via a Transformer Network.
CoRR, 2023
Proceedings of the Neural Information Processing - 30th International Conference, 2023
2022
IEEE J. Biomed. Health Informatics, 2022
A Hybrid Deep Feature-Based Deformable Image Registration Method for Pathological Images.
CoRR, 2022
Human-level comparable control volume mapping with a deep unsupervised-learning model for image-guided radiation therapy.
Comput. Biol. Medicine, 2022
2021
Incorporating the hybrid deformable model for improving the performance of abdominal CT segmentation via multi-scale feature fusion network.
Medical Image Anal., 2021
Comput. Biol. Medicine, 2021
Preliminary Feasibility Study of Imaging Registration Between Supine and Prone Breast CT in Breast Cancer Radiotherapy Using Residual Recursive Cascaded Networks.
IEEE Access, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
2019
CoRR, 2019
A Technical Review of Convolutional Neural Network-Based Mammographic Breast Cancer Diagnosis.
Comput. Math. Methods Medicine, 2019
Quantitative Cone-Beam CT Imaging in Radiotherapy: Parallel Computation and Comprehensive Evaluation on the TrueBeam System.
IEEE Access, 2019
2018
A Sparse-View CT Reconstruction Method Based on Combination of DenseNet and Deconvolution.
IEEE Trans. Medical Imaging, 2018
Can Signal-to-Noise Ratio Perform as a Baseline Indicator for Medical Image Quality Assessment.
IEEE Access, 2018
A Feasibility of Respiration Prediction Based on Deep Bi-LSTM for Real-Time Tumor Tracking.
IEEE Access, 2018