Qingrong Wu
Positions:
Professor of Radiation Oncology
Radiation Oncology
School of Medicine
Member of the Duke Cancer Institute
Duke Cancer Institute
School of Medicine
Education:
B.S. 1990
Zhejiang University (China)
Ph.D. 1996
Mayo Graduate School
Grants:
Decision support for dose prescription in radiation treatment planning
Administered By
Radiation Oncology
Awarded By
University of North Carolina - Charlotte
Role
Principal Investigator
Start Date
End Date
Publications:
A data-driven approach to optimal beam/arc angle selection for liver stereotactic body radiation therapy treatment planning
MLA Citation
Sheng, Yang, et al. “A data-driven approach to optimal beam/arc angle selection for liver stereotactic body radiation therapy treatment planning (Accepted).” Quantitative Imaging in Medicine and Surgery, vol. 11, no. 12, AME Publishing Company, Dec. 2021, pp. 4797–806. Crossref, doi:10.21037/qims-21-169.
URI
https://scholars.duke.edu/individual/pub1493446
Source
crossref
Published In
Quantitative Imaging in Medicine and Surgery
Volume
11
Published Date
Start Page
4797
End Page
4806
DOI
10.21037/qims-21-169
An Artificial Intelligence-Driven Agent for Rapid Head-and-Neck IMRT Plan Generation
MLA Citation
Wang, C., et al. “An Artificial Intelligence-Driven Agent for Rapid Head-and-Neck IMRT Plan Generation.” International Journal of Radiation Oncology Biology Physics, vol. 108, no. 3, 2020, pp. E263–E263.
URI
https://scholars.duke.edu/individual/pub1467598
Source
wos-lite
Published In
International Journal of Radiation Oncology, Biology, Physics
Volume
108
Published Date
Start Page
E263
End Page
E263
Automatic VMAT Planning via MLC Dynamic Sequence Prediction (AVP-DSP): A Novel Deep-Learning Method for Real-Time Prostate Treatment Planning
MLA Citation
Ni, Y., et al. “Automatic VMAT Planning via MLC Dynamic Sequence Prediction (AVP-DSP): A Novel Deep-Learning Method for Real-Time Prostate Treatment Planning.” International Journal of Radiation Oncology Biology Physics, vol. 108, no. 3, 2020, pp. S93–94.
URI
https://scholars.duke.edu/individual/pub1467600
Source
wos-lite
Published In
International Journal of Radiation Oncology, Biology, Physics
Volume
108
Published Date
Start Page
S93
End Page
S94
How Fluence-Prediction Error Impact Final Plan Quality: Insights Into a Deep-Learning-Based (DL-Based) Head- And-Neck (H&N) IMRT Planning AI Agent
MLA Citation
Li, X., et al. “How Fluence-Prediction Error Impact Final Plan Quality: Insights Into a Deep-Learning-Based (DL-Based) Head- And-Neck (H&N) IMRT Planning AI Agent.” Medical Physics, vol. 48, no. 6, 2021.
URI
https://scholars.duke.edu/individual/pub1495074
Source
wos-lite
Published In
Medical Physics
Volume
48
Published Date
Quantifying the Progression of Clinical Knowledge with a Knowledge-based Tradeoff Model
MLA Citation
Zhang, J., et al. “Quantifying the Progression of Clinical Knowledge with a Knowledge-based Tradeoff Model.” International Journal of Radiation Oncology Biology Physics, vol. 108, no. 3, 2020, pp. S94–95.
URI
https://scholars.duke.edu/individual/pub1467601
Source
wos-lite
Published In
International Journal of Radiation Oncology, Biology, Physics
Volume
108
Published Date
Start Page
S94
End Page
S95
Research Areas:
Bioinformatics
Body Burden
Calibration
Clinical Trial
Cone-Beam Computed Tomography
Decision Support Systems, Clinical
Dose Fractionation
Dose-Response Relationship, Radiation
Imaging, Three-Dimensional
Mammography
Online Systems
Quality Assurance, Health Care
Radiographic Image Enhancement
Radiosurgery
Radiotherapy Planning, Computer-Assisted
Radiotherapy, Image-Guided
Radiotherapy, Intensity-Modulated
Stereotaxic Techniques

Professor of Radiation Oncology
Contact:
201 Trent Drive, Box 3295, Durham, NC 27710
Box 3295 Med Ctr, Durham, NC 27710