Wei Zhao

Orcid: 0000-0002-6182-4746

Affiliations:
  • 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:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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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

C^2RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction.
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
Less Is More: Surgical Phase Recognition From Timestamp Supervision.
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

Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Novel-view X-ray projection synthesis through geometry-integrated deep learning.
Medical Image Anal., 2022

Less is More: Surgical Phase Recognition from Timestamp Supervision.
CoRR, 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

Metal Artifact Reduction in 2D CT Images with Self-supervised Cross-domain Learning.
CoRR, 2021

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

Toward Markerless Image-Guided Radiotherapy Using Deep Learning for Prostate Cancer.
Proceedings of the Artificial Intelligence in Radiation Therapy, 2019


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