Xiaokun Liang

Orcid: 0000-0002-1207-5726

According to our database1, Xiaokun Liang authored at least 31 papers between 2018 and 2024.

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

Timeline

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Bibliography

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

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

QUIZ: An Arbitrary Volumetric Point Matching Method for Medical Image Registration.
CoRR, 2023

Unsupervised CT Metal Artifact Reduction by Plugging Diffusion Priors in Dual Domains.
CoRR, 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


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