Biological Thermal Effects Analysis of High Power Laser for BPH. - Zhenyu Wang; Linghong Zhou; Chaomin Chen; Anyang Wei; Qian Ni; Lin Zhu (BMEI (1), 2008)

CT Image Reconstruction from Sparse Projections Using Adaptive TpV Regularization. - Hongliang Qi; Zijia Chen; Linghong Zhou (Comput. Math. Methods Medicine, 2015)

Iterative Image Reconstruction for Limited-Angle CT Using Optimized Initial Image. - Jingyu Guo; Hongliang Qi; Yuan Xu; Zijia Chen; Shulong Li; Linghong Zhou (Comput. Math. Methods Medicine, 2016)

Multienergy Cone-Beam Computed Tomography Reconstruction with a Spatial Spectral Nonlocal Means Algorithm. - Bin Li 047; Chenyang Shen; Yujie Chi; Ming Yang; Yifei Lou; Linghong Zhou; Xun Jia (SIAM J. Imaging Sci., 2018)

Individualized 3D Dose Distribution Prediction Using Deep Learning. - Jianhui Ma; Ti Bai; Dan Nguyen; Michael Folkerts; Xun Jia; Weiguo Lu; Linghong Zhou; Steve B. Jiang (AIRT@MICCAI, 2019)

Matching Corresponding Regions of Interest on Cranio-Caudal and Medio-Lateral Oblique View Mammograms. - Xiaoman Duan; Genggeng Qin; Qingqing Ling; Sina Wang; Zeyuan Xu; Hui Zeng; Bin Li 050; Weiguo Chen; Linghong Zhou; Yuan Xu (IEEE Access, 2019)

OAR Dose Distribution Prediction and gEUD Based Automatic Treatment Planning Optimization for Intensity Modulated Radiotherapy. - Qiyuan Jia; Yongbao Li; Aiqian Wu; Futong Guo; Mengke Qi; Yanhua Mai; Fantu Kong; Xin Zhen; Linghong Zhou; Ting Song (IEEE Access, 2019)

Image Restoration for Low-Dose CT via Transfer Learning and Residual Network. - Anni Zhong; Bin Li 047; Ning Luo; Yuan Xu; Linghong Zhou; Xin Zhen (IEEE Access, 2020)

Scatter correction based on adaptive photon path-based Monte Carlo simulation method in Multi-GPU platform. - Yangmei Zhang; Yusi Chen; Anni Zhong; Xun Jia; Shuyu Wu; Hongliang Qi; Linghong Zhou; Yuan Xu (Comput. Methods Programs Biomed., 2020)

Feasibility study of a multi-criteria decision-making based hierarchical model for multi-modality feature and multi-classifier fusion: Applications in medical prognosis prediction. - Qiang He; Xin Li; D. W. Nathan Kim; Xun Jia; Xuejun Gu; Xin Zhen; Linghong Zhou (Inf. Fusion, 2020)

Knowledge-based self-calibration method of calibration phantom by and for accurate robot-based CT imaging systems. - Xiaoman Duan; Jiangze Cai; Qingqing Ling; Yanchao Huang; Hongliang Qi; Yusi Chen; Linghong Zhou; Yuan Xu (Knowl. Based Syst., 2021)

Multi-criterion decision making-based multi-channel hierarchical fusion of digital breast tomosynthesis and digital mammography for breast mass discrimination. - Linjing Wang; Qiang He; Xuetao Wang; Ting Song; Xin Li; Shuxu Zhang; Genggeng Qin; Weiguo Chen; Linghong Zhou; Xin Zhen (Knowl. Based Syst., 2021)

A hierarchical fusion framework to integrate homogeneous and heterogeneous classifiers for medical decision-making. - Linjing Wang; Tianlan Mo; Xuetao Wang; Wentao Chen; Qiang He; Xin Li; Shuxu Zhang; Ruimeng Yang; Jialiang Wu; Xuejun Gu; Jun Wei; Peiliang Xie; et al. (Knowl. Based Syst., 2021)

Cross-view temporal graph contrastive learning for session-based recommendation. - Haosen Wang; Surong Yan; Chunqi Wu; Long Han; Linghong Zhou (Knowl. Based Syst., 2023)

Multimodality MRI synchronous construction based deep learning framework for MRI-guided radiotherapy synthetic CT generation. - Xuanru Zhou; Wenwen Cai; Jiajun Cai; Fan Xiao; Mengke Qi; Jiawen Liu; Linghong Zhou; Yongbao Li; Ting Song (Comput. Biol. Medicine, 2023)

DHCF: Dual disentangled-view hierarchical contrastive learning for fake news detection on social media. - Haosen Wang; Pan Tang; Hanyue Kong; Yilun Jin; Chunqi Wu; Linghong Zhou (Inf. Sci., 2023)

PND-Net: Physics-Inspired Non-Local Dual-Domain Network for Metal Artifact Reduction. - Jinqiu Xia; Yiwen Zhou; Wenxin Deng; Jing Kang; Wangjiang Wu; Mengke Qi; Linghong Zhou; Jianhui Ma; Yuan Xu (IEEE Trans. Medical Imaging, 2024)