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:

Developing knowledge models to enable rapid learning in radiation therapy

Administered By
Radiation Oncology
Awarded By
National Institutes of Health
Role
Principal Investigator
Start Date
End Date

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:

Automatic IMRT Planning Via Static Field Fluence Prediction (AIP-SFFP): A Deep Learning Method for Real-Time Prostate Treatment Planning

Authors
Li, X; Zhang, J; Sheng, Y; Chang, Y; Yin, F; Ge, Y; Wu, Q; Wang, C
MLA Citation
URI
https://scholars.duke.edu/individual/pub1395498
Source
wos
Published In
Medical Physics
Volume
46
Published Date
Start Page
E256
End Page
E256

Fast Two-Step Inverse Planning Approach for Volumetric Modulated Arc Therapy

Authors
Desmal, A; Ge, Y; Wu, Q
MLA Citation
Desmal, A., et al. “Fast Two-Step Inverse Planning Approach for Volumetric Modulated Arc Therapy.” Medical Physics, vol. 45, no. 6, WILEY, 2018, pp. E330–E330.
URI
https://scholars.duke.edu/individual/pub1333269
Source
wos
Published In
Medical Physics
Volume
45
Published Date
Start Page
E330
End Page
E330

Capturing Different Sparing Decisions in Head-And-Neck IMRT Cases Using Model Trees

Authors
MLA Citation
Sheng, Y., et al. “Capturing Different Sparing Decisions in Head-And-Neck IMRT Cases Using Model Trees.” Medical Physics, vol. 44, no. 6, WILEY, 2017, pp. 3000–01.
URI
https://scholars.duke.edu/individual/pub1308471
Source
wos
Published In
Medical Physics
Volume
44
Published Date
Start Page
3000
End Page
3001

A Rapid Learning Approach to the Knowledge Modeling of Radiation Therapy Planning

Authors
MLA Citation
Wu, Q. R. J., et al. “A Rapid Learning Approach to the Knowledge Modeling of Radiation Therapy Planning.” International Journal of Radiation Oncology*Biology*Physics, vol. 93, no. 3, Elsevier BV, 2015, pp. S32–S32. Crossref, doi:10.1016/j.ijrobp.2015.07.079.
URI
https://scholars.duke.edu/individual/pub1131223
Source
crossref
Published In
International Journal of Radiation Oncology, Biology, Physics
Volume
93
Published Date
Start Page
S32
End Page
S32
DOI
10.1016/j.ijrobp.2015.07.079

Exploring Tradeoff Hyperplanes for Head and Neck Treatment Planning with a Knowledge-Based Model

Authors
Zhang, J; Ge, Y; Sheng, Y; Wang, C; Wu, Q; Yin, F
MLA Citation
Zhang, J., et al. “Exploring Tradeoff Hyperplanes for Head and Neck Treatment Planning with a Knowledge-Based Model.” Medical Physics, vol. 46, no. 6, WILEY, 2019, pp. E369–E369.
URI
https://scholars.duke.edu/individual/pub1395499
Source
wos
Published In
Medical Physics
Volume
46
Published Date
Start Page
E369
End Page
E369

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