Wei Zhao
Orcid: 0000-0002-6182-4746Affiliations:
- Stanford University, Department of Radiation Oncology, CA, USA
- Huazhong University of Science and Technology, Department of Biomedical Engineering, Wuhan, China
According to our database1,
Wei Zhao
authored at least 19 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
Volumetric tumor tracking from a single cone-beam X-ray projection image enabled by deep learning.
Medical Image Anal., January, 2024
CoRR, 2024
C<sup>2</sup>RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
IEEE Trans. Medical Imaging, June, 2023
Improving anisotropy resolution of computed tomography and annotation using 3D super-resolution network.
Biomed. Signal Process. Control., April, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
Medical Image Anal., 2022
A geometry-informed deep learning framework for ultra-sparse 3D tomographic image reconstruction.
Comput. Biol. Medicine, 2022
Human-level comparable control volume mapping with a deep unsupervised-learning model for image-guided radiation therapy.
Comput. Biol. Medicine, 2022
2021
Rotation-Oriented Collaborative Self-Supervised Learning for Retinal Disease Diagnosis.
IEEE Trans. Medical Imaging, 2021
CD-Net: Comprehensive Domain Network With Spectral Complementary for DECT Sparse-View Reconstruction.
IEEE Trans. Computational Imaging, 2021
Estimating dual-energy CT imaging from single-energy CT data with material decomposition convolutional neural network.
Medical Image Anal., 2021
CoRR, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
Obtaining Dual-Energy Computed Tomography (CT) Information from a Single-Energy CT Image forQuantitative Imaging Analysis of Living Subjects by Using Deep Learning.
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020
2019
Robust Beam Hardening Artifacts Reduction for Computed Tomography Using Spectrum Modeling.
IEEE Trans. Computational Imaging, 2019
Automatic marker-free target positioning and tracking for image-guided radiotherapy and interventions.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019
Proceedings of the Artificial Intelligence in Radiation Therapy, 2019