Xiaokun Liang

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A statistical deformation model-based data augmentation method for volumetric medical image segmentation.

Wenfeng He, Chulong Zhang, Jingjing Dai, Lin Liu, Tangsheng Wang, Xuan Liu, Yuming Jiang, Na Li, Jing Xiong, Lei Wang, Yaoqin Xie, Xiaokun Liang

Medical Image Anal., January, 2024

Volumetric tumor tracking from a single cone-beam X-ray projection image enabled by deep learning.

Jingjing Dai, Guoya Dong, Chulong Zhang, Wenfeng He, Lin Liu, Tangsheng Wang, Yuming Jiang, Wei Zhao, Xiang Zhao, Yaoqin Xie, Xiaokun Liang

Medical Image Anal., January, 2024

QUIZ: An arbitrary volumetric point matching method for medical image registration.

Lin Liu, Xinxin Fan, Haoyang Liu, Chulong Zhang, Weibin Kong, Jingjing Dai, Yuming Jiang, Yaoqin Xie, Xiaokun Liang

Comput. Medical Imaging Graph., 2024

2023

Accurate breast cancer diagnosis using a stable feature ranking algorithm.

Shaode Yu, Mingxue Jin, Tianhang Wen, Linlin Zhao, Xuechao Zou, Xiaokun Liang, Yaoqin Xie, Wanlong Pan, Chenghao Piao

BMC Medical Informatics Decis. Mak., December, 2023

An unsupervised dual contrastive learning framework for scatter correction in cone-beam CT image.

Tangsheng Wang, Xuan Liu, Jingjing Dai, Chulong Zhang, Wenfeng He, Lin Liu, Yinping Chan, Yutong He, Hanqing Zhao, Yaoqin Xie, Xiaokun Liang

Comput. Biol. Medicine, October, 2023

An attention-based deep convolutional neural network for ultra-sparse-view CT reconstruction.

Yinping Chan, Xuan Liu, Tangsheng Wang, Jingjing Dai, Yaoqin Xie, Xiaokun Liang

Comput. Biol. Medicine, July, 2023

An Unsupervised Learning-Based Regional Deformable Model for Automated Multi-Organ Contour Propagation.

Xiaokun Liang, Jingjing Dai, Xuanru Zhou, Lin Liu, Chulong Zhang, Yuming Jiang, Na Li, Tianye Niu, Yaoqin Xie, Zhenhui Dai, Xuetao Wang

J. Digit. Imaging, June, 2023

Four-Dimensional Cone Beam CT Imaging Using a Single Routine Scan via Deep Learning.

Pengfei Yang, Xin Ge, Tiffany Tsui, Xiaokun Liang, Yaoqin Xie, Zhanli Hu, Tianye Niu

IEEE Trans. Medical Imaging, May, 2023

Sinogram domain metal artifact correction of CT via deep learning.

Yulin Zhu, Hanqing Zhao, Tangsheng Wang, Lei Deng, Yupeng Yang, Yuming Jiang, Na Li, Yinping Chan, Jingjing Dai, Chulong Zhang, Yunhui Li, Yaoqin Xie, Xiaokun Liang

Comput. Biol. Medicine, March, 2023

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

Xuan Liu, Yaoqin Xie, Songhui Diao, Shan Tan, Xiaokun Liang

CoRR, 2023

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

Chulong Zhang, Jingjing Dai, Tangsheng Wang, Xuan Liu, Yinping Chan, Lin Liu, Wenfeng He, Yaoqin Xie, Xiaokun Liang

CoRR, 2023

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

Xuan Liu, Yaoqin Xie, Songhui Diao, Shan Tan, Xiaokun Liang

CoRR, 2023

Three-Dimensional Medical Image Fusion with Deformable Cross-Attention.

Lin Liu, Xinxin Fan, Chulong Zhang, Jingjing Dai, Yaoqin Xie, Xiaokun Liang

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022

AGUMENTED DATASET FOR RESPIRATORY MOVMENT PREDICTION.

Min Tan, Huixian Peng, Xiaokun Liang, Yaoqin Xie, Zeyang Xia, Jing Xiong

Dataset, July, 2022

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

Min Tan, Huixian Peng, Xiaokun Liang, Yaoqin Xie, Zeyang Xia, Jing Xiong

IEEE J. Biomed. Health Informatics, 2022

A Hybrid Deep Feature-Based Deformable Image Registration Method for Pathological Images.

Chulong Zhang, Yuming Jiang, Na Li, Zhicheng Zhang, Md Tauhidul Islam, Jingjing Dai, Lin Liu, Wenfeng He, Wenjian Qin, Jing Xiong, Yaoqin Xie, Xiaokun Liang

CoRR, 2022

Human-level comparable control volume mapping with a deep unsupervised-learning model for image-guided radiation therapy.

Xiaokun Liang, Maxime Bassenne, Dimitre H. Hristov, Md Tauhidul Islam, Wei Zhao, Mengyu Jia, Zhicheng Zhang, Michael Gensheimer, Beth M. Beadle, Quynh Le, Lei Xing

Comput. Biol. Medicine, 2022

2021

Incorporating the hybrid deformable model for improving the performance of abdominal CT segmentation via multi-scale feature fusion network.

Xiaokun Liang, Na Li, Zhicheng Zhang, Jing Xiong, Shoujun Zhou, Yaoqin Xie

Medical Image Anal., 2021

Self-supervised CT super-resolution with hybrid model.

Zhicheng Zhang, Shaode Yu, Wenjian Qin, Xiaokun Liang, Yaoqin Xie, Guohua Cao

Comput. Biol. Medicine, 2021

Iterative stripe artifact correction framework for TOF-MRA.

Na Li, Shoujun Zhou, Gang Zhao, Zhicheng Zhang, Yaoqin Xie, Xiaokun Liang

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.

Xiaoyun Ouyang, Xiaokun Liang, Yaoqin Xie

IEEE Access, 2021

TransCT: Dual-Path Transformer for Low Dose Computed Tomography.

Zhicheng Zhang, Lequan Yu, Xiaokun Liang, Wei Zhao, Lei Xing

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.

Shaode Yu, Haobo Chen, Hang Yu, Zhicheng Zhang, Xiaokun Liang, Wenjian Qin, Yaoqin Xie, Ping Shi

CoRR, 2020

A Matlab Toolbox for Feature Importance Ranking.

Shaode Yu, Zhicheng Zhang, Xiaokun Liang, Junjie Wu, Erlei Zhang, Wenjian Qin, Yaoqin Xie

CoRR, 2020

matFR: a MATLAB toolbox for feature ranking.

Zhicheng Zhang, Xiaokun Liang, Wenjian Qin, Shaode Yu, Yaoqin Xie

Bioinform., 2020

2019

Atlas Based Segmentations via Semi-Supervised Diffeomorphic Registrations.

Charles W. Huang, Masoud Badiei, Hyunseok Seo, Ming Ma, Xiaokun Liang, Dante Capaldi, Michael Gensheimer, Lei Xing

CoRR, 2019

A Technical Review of Convolutional Neural Network-Based Mammographic Breast Cancer Diagnosis.

Lian Zou, Shaode Yu, Tiebao Meng, Zhicheng Zhang, Xiaokun Liang, Yaoqin Xie

Comput. Math. Methods Medicine, 2019

Quantitative Cone-Beam CT Imaging in Radiotherapy: Parallel Computation and Comprehensive Evaluation on the TrueBeam System.

Xiaokun Liang, Yangkang Jiang, Yaoqin Xie, Tianye Niu

IEEE Access, 2019

2018

A Sparse-View CT Reconstruction Method Based on Combination of DenseNet and Deconvolution.

Zhicheng Zhang, Xiaokun Liang, Xu Dong, Yaoqin Xie, Guohua Cao

IEEE Trans. Medical Imaging, 2018

Can Signal-to-Noise Ratio Perform as a Baseline Indicator for Medical Image Quality Assessment.

Zhicheng Zhang, Guangzhe Dai, Xiaokun Liang, Shaode Yu, Leida Li, Yaoqin Xie

IEEE Access, 2018

A Feasibility of Respiration Prediction Based on Deep Bi-LSTM for Real-Time Tumor Tracking.

Ran Wang, Xiaokun Liang, Xuanyu Zhu, Yaoqin Xie

IEEE Access, 2018