Area of research
Modeling and Simulation · Radiology, Nuclear Medicine and Imaging
Research interest
Research interests include Medicine, Breast cancer, Magnetic resonance imaging, Computer science, Cancer, and Medical physics.
Patient-Specific, Mechanistic Models of Tumor Growth Incorporating Artificial Intelligence and Big Data
The <scp>ISMRM</scp> Open Science Initiative for Perfusion Imaging (<scp>OSIPI</scp>): Results from the <scp>OSIPI–Dynamic Contrast‐Enhanced</scp> challenge
Quantifying Tumor Heterogeneity via MRI Habitats to Characterize Microenvironmental Alterations in HER2+ Breast Cancer
Quantitative magnetic resonance imaging and tumor forecasting of breast cancer patients in the community setting
Multi‐Site Concordance of Diffusion‐Weighted Imaging Quantification for Assessing Prostate Cancer Aggressiveness
Disposable point‐of‐care portable perfusion phantom for quantitative DCE‐MRI
Donor heart and lung procurement: A consensus statement
Evaluating patient-specific neoadjuvant regimens for breast cancer via a mathematical model constrained by quantitative magnetic resonance imaging data
Patient-Specific Characterization of Breast Cancer Hemodynamics Using Image-Guided Computational Fluid Dynamics
Experimentally-driven mathematical modeling to improve combination targeted and cytotoxic therapy for HER2+ breast cancer
Translating preclinical MRI methods to clinical oncology
Quantitative analysis of vascular properties derived from ultrafast DCE‐MRI to discriminate malignant and benign breast tumors