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

Authors
Sheng, Y; Li, T; Ge, Y; Lin, H; Wang, W; Yuan, L; Wu, QJ
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

Authors
Wang, C; Li, X; Zhang, J; Sheng, Y; Yin, FF; Wu, Q; Ge, Y; Wu, QJJ
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

Authors
Ni, Y; Sheng, Y; Zhang, J; Li, X; Wu, QJJ; Wang, C
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

Authors
Li, X; Wu, QJ; Wu, Q; Wang, C; Sheng, Y; Wang, W; Stephens, H; Yin, F; Ge, Y
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

Authors
Zhang, J; Sheng, Y; Wang, C; Yin, FF; Ge, Y; Wu, QJJ
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