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)

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 Sparse-View CT Reconstruction Method Based on Combination of DenseNet and Deconvolution. - Zhicheng Zhang; Xiaokun Liang; Xu Dong 001; Yaoqin Xie; Guohua Cao (IEEE Trans. Medical Imaging, 2018)

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)

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)

Atlas Based Segmentations via Semi-Supervised Diffeomorphic Registrations. - Charles W. Huang; Masoud Badiei; Hyunseok Seo; Ming Ma; Xiaokun Liang; Dante Capaldi; Michael Gensheimer 001; Lei Xing 001 (CoRR, 2019)

matFR: a MATLAB toolbox for feature ranking. - Zhicheng Zhang; Xiaokun Liang; Wenjian Qin; Shaode Yu; Yaoqin Xie (Bioinform., 2020)

A Matlab Toolbox for Feature Importance Ranking. - Shaode Yu; Zhicheng Zhang; Xiaokun Liang; Junjie Wu; Erlei Zhang; Wenjian Qin; Yaoqin Xie (CoRR, 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)

TransCT: Dual-Path Transformer for Low Dose Computed Tomography. - Zhicheng Zhang; Lequan Yu; Xiaokun Liang; Wei Zhao 029; Lei Xing 001 (MICCAI (6), 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)

Iterative stripe artifact correction framework for TOF-MRA. - Na Li; Shoujun Zhou; Gang Zhao; Zhicheng Zhang; Yaoqin Xie; Xiaokun Liang (Comput. Biol. Medicine, 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)

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)

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 029; Mengyu Jia; Zhicheng Zhang; Michael Gensheimer 001; Beth M. Beadle; Quynh Le; Lei Xing 001 (Comput. Biol. Medicine, 2022)

A Hybrid Deep Feature-Based Deformable Image Registration Method for Pathological Images. - Chulong Zhang; Yuming Jiang 005; Na Li; Zhicheng Zhang; Md Tauhidul Islam; Jingjing Dai; Lin Liu; Wenfeng He; Wenjian Qin; Jing Xiong; Yaoqin Xie; Xiaokun Liang (CoRR, 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)

AGUMENTED DATASET FOR RESPIRATORY MOVMENT PREDICTION. - Min Tan; Huixian Peng; Xiaokun Liang; Yaoqin Xie; Zeyang Xia; Jing Xiong (IEEE DataPort, 2022)

Three-Dimensional Medical Image Fusion with Deformable Cross-Attention. - Lin Liu; Xinxin Fan; Chulong Zhang; Jingjing Dai; Yaoqin Xie; Xiaokun Liang (ICONIP (10), 2023)

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

Sinogram domain metal artifact correction of CT via deep learning. - Yulin Zhu; Hanqing Zhao; Tangsheng Wang; Lei Deng; Yupeng Yang; Yuming Jiang 005; Na Li; Yinping Chan; Jingjing Dai; Chulong Zhang; Yunhui Li; Yaoqin Xie; et al. (Comput. Biol. Medicine, 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, 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 005; Na Li; Tianye Niu; Yaoqin Xie; Zhenhui Dai; Xuetao Wang (J. Digit. Imaging, 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, 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, 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., 2023)

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 005; Yaoqin Xie; Xiaokun Liang (Comput. Medical Imaging Graph., 2024)

Mammo-Clustering:A Weakly Supervised Multi-view Global-Local Context Clustering Network for Detection and Classification in Mammography. - Shilong Yang; Chulong Zhang; Qi Zang; Juan Yu; Liang Zeng; Xiao Luo; Yexuan Xing; Xin Pan; Qi Li; Xiaokun Liang; Yaoqin Xie (CoRR, 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 005; Wei Zhao 029; Xiang Zhao; Yaoqin Xie; Xiaokun Liang (Medical Image Anal., 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 005; Na Li; Jing Xiong; Lei Wang 029; Yaoqin Xie; Xiaokun Liang (Medical Image Anal., 2024)

Unsupervised CT Metal Artifact Reduction by Plugging Diffusion Priors in Dual Domains. - Xuan Liu; Yaoqin Xie; Songhui Diao; Shan Tan; Xiaokun Liang (IEEE Trans. Medical Imaging, 2024)

Hybrid multiple instance learning network for weakly supervised medical image classification and localization. - Qi Lai; Chi-Man Vong; Tao Yan 006; Pak-Kin Wong 001; Xiaokun Liang (Expert Syst. Appl., 2025)

Multimodal deep learning model for prognostic prediction in cervical cancer receiving definitive radiotherapy: a multi-center study. - Weiping Wang; Guang Yang; Yulin Liu; Lichun Wei; Xiaoying Xu; Chulong Zhang; Zhaohong Pan; Yongguang Liang; Bo Yang; Jie Qiu; Fuquan Zhang; Xiaorong Hou; et al. (npj Digit. Medicine, 2025)

Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge. - Muhammad Imran 013; Jonathan R. Krebs; Vishal Balaji Sivaraman; Teng Zhang; Amarjeet Kumar; Walker R. Ueland; Michael J. Fassler; Jinlong Huang; Xiao Sun; Lisheng Wang; Pengcheng Shi; Maximilian Rokuss; et al. (CoRR, 2025)

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge. - Yudi Sang; Yanzhen Liu; Sutuke Yibulayimu; Yunning Wang; Benjamin D. Killeen; Mingxu Liu; Ping-Cheng Ku; Ole Johannsen; Karol Gotkowski; Maximilian Zenk; Klaus H. Maier-Hein; Fabian Isensee; et al. (CoRR, 2025)

Calibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge results. - Meritxell Riera-Marin; O. K. Sikha 001; Júlia Rodríguez-Comas; Matthias Stefan May; Zhaohong Pan; Xiang Zhou; Xiaokun Liang; Franciskus Xaverius Erick; Andrea Prenner; Cédric Hémon; Valentin Boussot; Jean-Louis Dillenseger; et al. (CoRR, 2025)