Research Scholar Grant

Experience RSNA 2020
Experience RSNA 2020

The Foundation’s premier career development grant transitions junior faculty to independent investigators. Funding protects research time to conduct complex projects under the guidance of a mentor and scientific advisor in preparation for NIH funding. Two-year grant of $150,000.

Emily Ambinder, MD, MSc
Johns Hopkins University
Breast Cancer Screening in the Era of Precision Medicine: Evaluating the Role of Liquid Biopsy in Early Breast Cancer Detection

Majid Chalian, MD
University of Washington
Predicting Treatment Response to Neoadjuvant Radioimmunotherapy (NRIT) in High Grade Soft Tissue Sarcoma (STS) with MRI-based Radiomic Signature

Peiman Habibollahi, MD
The University of Texas MD Anderson Cancer Center
Modulation of Immune Response within Hepatocellular Carcinoma Tumor Microenvironment Using Locoregionally Delivered Glypican-3-directed Targeted Immunotherapy

Christopher D. Malone, MD
Washington University in St. Louis
Yttrium-90 Stimulated Photodynamic Therapy to Enhance Radioembolization of Liver Tumors

Colin D. McKnight, MD
Vanderbilt Universiity Medical Center
Magnetization Transfer Imaging of the Human Spinal Cord and Cerebrospinal Fluid to Characterize Myelin Metabolism in Multiple Sclerosis

Adam C. Mueller, MD, PhD
Thomas Jefferson University
Investigating ADAM10 Mediated EMT and Therapeutic Resistance in PDAC

Jennifer Soun, MD
University of California, Irvine
Evaluation of the Implementation of an AI Tool for Large Vessel Occlusion: Impact on Radiologists' Workflow and Patient Outcomes

Jessica K. Stewart, MD
University of California, Los Angeles
Effectiveness of Fallopian Tube Embolization With N-butyl-2-cyanoacrylate Using Selective Catheterization for Sterilization in a Rabbit Model

Neil K. Taunk, MD, MS
University of Pennsylvania
Evaluation of [18F]FTT PET/CT as an Imaging Biomarker to Select for PARPi Therapy in Patients with Metastatic Castrate-Resistant Prostate Cancer

Randy Yeh, MD
Memorial Sloan Kettering Cancer Center
Harnessing PSMA PET Radiomics and Machine Learning for Precision Medicine in Prostate Cancer