Xiaokun Liang

Orcid: 0000-0002-1207-5726

According to our database1, Xiaokun Liang authored at least 33 papers between 2018 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

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

QUIZ: An arbitrary volumetric point matching method for medical image registration.
Comput. Medical Imaging Graph., 2024

2023
Accurate breast cancer diagnosis using a stable feature ranking algorithm.
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

Four-Dimensional Cone Beam CT Imaging Using a Single Routine Scan via Deep Learning.
IEEE Trans. Medical Imaging, May, 2023

Sinogram domain metal artifact correction of CT via deep learning.
Comput. Biol. Medicine, March, 2023

XTransCT: Ultra-Fast Volumetric CT Reconstruction using Two Orthogonal X-Ray Projections via a Transformer Network.
CoRR, 2023

A Diffusion Probabilistic Prior for Low-Dose CT Image Denoising.
CoRR, 2023

Three-Dimensional Medical Image Fusion with Deformable Cross-Attention.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022
AGUMENTED DATASET FOR RESPIRATORY MOVMENT PREDICTION.
Dataset, July, 2022

LSTformer: Long Short-Term Transformer for Real Time Respiratory Prediction.
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

Self-supervised CT super-resolution with hybrid model.
Comput. Biol. Medicine, 2021

Iterative stripe artifact correction framework for TOF-MRA.
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

TransCT: Dual-Path Transformer for Low Dose Computed Tomography.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Elastic Net based Feature Ranking and Selection.
CoRR, 2020

A Matlab Toolbox for Feature Importance Ranking.
CoRR, 2020

matFR: a MATLAB toolbox for feature ranking.
Bioinform., 2020

2019
Atlas Based Segmentations via Semi-Supervised Diffeomorphic Registrations.
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


  Loading...