Chengyue Wu
The University of Texas MD Anderson Cancer Center(US)The University of Texas at Austin(US)
Publications by Year
Research Areas
MRI in cancer diagnosis, Radiomics and Machine Learning in Medical Imaging, Medical Imaging Techniques and Applications, Breast Cancer Treatment Studies, Mathematical Biology Tumor Growth
Most-Cited Works
- → Integrating mechanism-based modeling with biomedical imaging to build practical digital twins for clinical oncology(2022)111 cited
- → Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas(2023)74 cited
- → MRI-Based Digital Models Forecast Patient-Specific Treatment Responses to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer(2022)69 cited
- → Quantitative analysis of vascular properties derived from ultrafast DCE‐MRI to discriminate malignant and benign breast tumors(2018)66 cited
- → Evaluating patient-specific neoadjuvant regimens for breast cancer via a mathematical model constrained by quantitative magnetic resonance imaging data(2020)62 cited
- → Repeatability, reproducibility, and accuracy of quantitative mri of the breast in the community radiology setting(2018)59 cited
- → Biologically-Based Mathematical Modeling of Tumor Vasculature and Angiogenesis via Time-Resolved Imaging Data(2021)55 cited
- → Quantitative magnetic resonance imaging and tumor forecasting of breast cancer patients in the community setting(2021)44 cited
- → Patient-Specific Characterization of Breast Cancer Hemodynamics Using Image-Guided Computational Fluid Dynamics(2020)39 cited
- → Designing clinical trials for patients who are not average(2023)31 cited