Chengyue Wu

Patient-Specific Characterization of Breast Cancer Hemodynamics Using Image-Guided Computational Fluid Dynamics

Guillermo Lorenzo, Todd A. Oliver, Chengyue Wu, 2020, IEEE Transactions on Medical Imaging.

SCIDOT-38. DEVELOPMENT OF AN IMAGE-INFORMED MATHEMATICAL MODEL OF CONVECTION-ENHANCED DELIVERY OF NANOLIPOSOMES FOR INDIVIDUAL PATIENTS

Thomas E. Yankeelov, Thomas J. R. Hughes, Chengyue Wu, 2019, Neuro-Oncology.

Integrating quantitative imaging and computational modeling to predict the spatiotemporal distribution of 186Re nanoliposomes for recurrent glioblastoma treatment

Chengyue Wu, Ryan T. Woodall, Xinzeng Feng, 2019, Medical Imaging.

Evaluating Multisite rCBV Consistency from DSC-MRI Imaging Protocols and Postprocessing Software Across the NCI Quantitative Imaging Network Sites Using a Digital Reference Object (DRO)

Thomas E. Yankeelov, Chengyue Wu, Mark Muzi, 2019, Tomography.

Evaluating the Use of rCBV as a Tumor Grade and Treatment Response Classifier Across NCI Quantitative Imaging Network Sites: Part II of the DSC-MRI Digital Reference Object (DRO) Challenge

Thomas E. Yankeelov, Chengyue Wu, Mark Muzi, 2020, Tomography.

An in silico validation framework for quantitative DCE-MRI techniques based on a dynamic digital phantom

Victor Eijkhout, Thomas E. Yankeelov, Chengyue Wu, 2021, Medical Image Anal..

Quantitative analysis of vascular properties derived from ultrafast DCE‐MRI to discriminate malignant and benign breast tumors

Chengyue Wu, David A Hormuth, Federico Pineda, 2018, Magnetic resonance in medicine.

Abstract P2-16-17: Optimizing neoadjuvant regimens for individual breast cancer patients generated by a mathematical model utilizing quantitative magnetic resonance imaging data: Preliminary results

Thomas E. Yankeelov, Sarah Avery, Angela M. Jarrett, 2020 .