Wei Zhao

30 papers A* 1Misc 1Journal 22Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Data-Driven Multi-keV Virtual Monoenergetic Images Generation From Single-Energy CT Guided by Image-Domain Material Decomposition.
IEEE Trans. Computational Imaging
Wenwen Zhang, Zihan Chai, Yantao Niu, Zhijie Zhang, Linxuan Li, Baohua Sun, Junfang Xian, Wei Zhao
2026 J jnl
GraphMorph: Equilibrium adjustment regularized dual-stream GCN for 4D-CT lung imaging with sliding motion.
Neurocomputing
Peng Yuan, Fei Lyu, Yu-Dong Zhang, Chunfeng Yang, Zhiqiang Gao, Zhan Wu, Jianmin Dong, Tianling Lyu, Wei Zhao, Jean-Louis Coatrieux, Yang Chen
2026 J jnl
NIFA: Low-dose CT imaging via noise intensity field aware networks.
Medical Image Anal.
Zihui Zhao, Yanxin Wang, Suqing Tian, Xiaomeng Li, Wei Zhao
2025 J jnl
CT-Mamba: A hybrid convolutional State Space Model for low-dose CT denoising.
Comput. Medical Imaging Graph.
Linxuan Li, Wenjia Wei, Luyao Yang, Wenwen Zhang, Jiashu Dong, Yahua Liu, Hongshi Huang, Wei Zhao
2025 J jnl
DDoCT: Morphology preserved dual-domain joint optimization for fast sparse-view low-dose CT imaging.
Medical Image Anal.
Linxuan Li, Zhijie Zhang, Yongqing Li, Yanxin Wang, Wei Zhao
2025 J jnl
Dual-Source CBCT for Large FoV Imaging Under Short-Scan Trajectories.
IEEE Trans. Medical Imaging
Tianling Lyu, Xusheng Zhang, Xinyun Zhong, Zhan Wu, Yan Xi, Wei Zhao, Yang Chen, Yuanjing Feng, Wentao Zhu
2025 J jnl
Multi-Scale Cascaded With Cross-Attention Network-Based Deformation Vector Field Estimation for Motion-Compensated 4D-CBCT Reconstruction.
IEEE Trans. Computational Imaging
Peng Yuan, Fei Lyu, Zhiqiang Gao, Chunfeng Yang, Dianlin Hu, Jian Zhu, Zhan Wu, Tianling Lyu, Wei Zhao, Jianmin Dong, Yang Chen
2024 A* conf
C
CVPR
Yiqun Lin, Jiewen Yang, Hualiang Wang, Xinpeng Ding, Wei Zhao, Xiaomeng Li
2024 J jnl
C^2RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction.
CoRR
Yiqun Lin, Jiewen Yang, Hualiang Wang, Xinpeng Ding, Wei Zhao, Xiaomeng Li
2024 — conf
Intra-Guided Dual-Energy Material Decomposition Method for Dual-Source CBCT Systems.
EMBC
Xinyun Zhong, Tianling Lyu, Zhan Wu, Wei Gao, Yan Xi, Wei Zhao, Wentao Zhu, Yang Chen
2024 J jnl
Volumetric tumor tracking from a single cone-beam X-ray projection image enabled by deep learning.
Medical Image Anal.
Jingjing Dai, Guoya Dong, Chulong Zhang, Wenfeng He, Lin Liu, Tangsheng Wang, Yuming Jiang, Wei Zhao, Xiang Zhao, Yaoqin Xie, XiaoKun Liang
2023 — conf
A Dual-Energy Metal Artifact Redcution Method for DECT Image Reconstruction.
EMBC
Tianling Lyu, Wei Zhao, Wei Gao, Jian Zhu, Yan Xi, Yang Chen, Wentao Zhu
2023 J jnl
Improving anisotropy resolution of computed tomography and annotation using 3D super-resolution network.
Biomed. Signal Process. Control.
Rongjun Ge, Fanqi Shi, Yang Chen, Shujun Tang, Hailong Zhang, Xiaojian Lou, Wei Zhao, Gouenou Coatrieux, Dazhi Gao, Shuo Li, Xiaoli Mai
2023 — conf
Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction.
MICCAI (10)
Yiqun Lin, Zhongjin Luo, Wei Zhao, Xiaomeng Li
2023 J jnl
Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction.
CoRR
Yiqun Lin, Zhongjin Luo, Wei Zhao, Xiaomeng Li
2023 J jnl
Less Is More: Surgical Phase Recognition From Timestamp Supervision.
IEEE Trans. Medical Imaging
Xinpeng Ding, Xinjian Yan, Zixun Wang, Wei Zhao, Jian Zhuang, Xiaowei Xu, Xiaomeng Li
2022 J jnl
A geometry-informed deep learning framework for ultra-sparse 3D tomographic image reconstruction.
Comput. Biol. Medicine
Liyue Shen, Wei Zhao, Dante Capaldi, John M. Pauly, Lei Xing
2022 J jnl
Human-level comparable control volume mapping with a deep unsupervised-learning model for image-guided radiation therapy.
Comput. Biol. Medicine
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
2022 J jnl
Less is More: Surgical Phase Recognition from Timestamp Supervision.
CoRR
Zixun Wang, Xinpeng Ding, Wei Zhao, Xiaomeng Li
2022 J jnl
Novel-view X-ray projection synthesis through geometry-integrated deep learning.
Medical Image Anal.
Liyue Shen, Lequan Yu, Wei Zhao, John M. Pauly, Lei Xing
2021 J jnl
A Geometry-Informed Deep Learning Framework for Ultra-Sparse 3D Tomographic Image Reconstruction.
CoRR
Liyue Shen, Wei Zhao, Dante Capaldi, John M. Pauly, Lei Xing
2021 J jnl
CD-Net: Comprehensive Domain Network With Spectral Complementary for DECT Sparse-View Reconstruction.
IEEE Trans. Computational Imaging
Yikun Zhang, Tianling Lv, Rongjun Ge, Qianlong Zhao, Dianlin Hu, Liu Zhang, Jin Liu, Yi Zhang, Qiegen Liu, Wei Zhao, Yang Chen
2021 J jnl
Estimating dual-energy CT imaging from single-energy CT data with material decomposition convolutional neural network.
Medical Image Anal.
Tianling Lyu, Wei Zhao, Yinsu Zhu, Zhan Wu, Yikun Zhang, Yang Chen, Limin Luo, Shuo Li, Lei Xing
2021 J jnl
Metal Artifact Reduction in 2D CT Images with Self-supervised Cross-domain Learning.
CoRR
Lequan Yu, Zhicheng Zhang, Xiaomeng Li, Hongyi Ren, Wei Zhao, Lei Xing
2021 J jnl
Rotation-Oriented Collaborative Self-Supervised Learning for Retinal Disease Diagnosis.
IEEE Trans. Medical Imaging
Xiaomeng Li, Xiaowei Hu, Xiaojuan Qi, Lequan Yu, Wei Zhao, Pheng-Ann Heng, Lei Xing
2021 — conf
TransCT: Dual-Path Transformer for Low Dose Computed Tomography.
MICCAI (6)
Zhicheng Zhang, Lequan Yu, XiaoKun Liang, Wei Zhao, Lei Xing
2020 Misc conf
Obtaining Dual-Energy Computed Tomography (CT) Information from a Single-Energy CT Image forQuantitative Imaging Analysis of Living Subjects by Using Deep Learning.
PSB
Wei Zhao, Tianling Lv, Rena Lee, Yang Chen, Lei Xing
2019 — conf
Automatic marker-free target positioning and tracking for image-guided radiotherapy and interventions.
Image-Guided Procedures
Wei Zhao, Liyue Shen, Yan Wu, Bin Han, Yong Yang, Lei Xing
2019 J jnl
Robust Beam Hardening Artifacts Reduction for Computed Tomography Using Spectrum Modeling.
IEEE Trans. Computational Imaging
Wei Zhao, Dengwang Li, Kai Niu, Wenjian Qin, Hao Peng, Tianye Niu
2019 — conf
Toward Markerless Image-Guided Radiotherapy Using Deep Learning for Prostate Cancer.
AIRT@MICCAI
Wei Zhao, Bin Han, Yong Yang, Mark K. Buyyounouski, Steven L. Hancock, Hilary Bagshaw, Lei Xing