Research Seed Grant

Experience RSNA 2020
Experience RSNA 2020
Every great discovery starts with a spark. This grant provides seed money to test hypotheses and conduct pilot studies in preparation for major grant applications to corporations, foundations, and government agencies. One-year grant of up to $40,000.

Tahani Moh'D Tawfeeq Ahmad, MD
IWK-Health Centre
Cranial Ultrasound for Prediction of Neurodevelopment Outcomes in Preterm Infants: The Role of Deep Learning and Convolutional Neural Network Methods

Dania Daye, MD, PhD
Massachusetts General Hospital
Machine Learning-based Virtual Tumor Biopsy as an Early Predictor of Response to Immunotherapy in Metastatic Melanoma

Shadi Abdar Esfahani, MD, MPH
Massachusetts General Hospital
Hyperpolarized [1-13C]Pyruvate Magnetic Resonance Spectroscopic Imaging for Monitoring and Prediction of Response to Neoadjuvant Treatment in Gastric Cancer

Gloria J. Guzman Perez-Carrillo, MD, MSc
Washington University in St. Louis
Precision Diffusion Weighted Imaging of Head and Neck Squamous Cell Carcinoma

Fernando U. Kay, MD
University of Texas Southwestern Medical Center
Deep Learning Models for Feature Identification and Outcome Prediction in Coronary Artery Calcium Computed Tomography Scans

Edward Kuoy, MD
University of California, Irvine
Measuring Operational and Clinical Impact of Point-of-care Portable MRI for ER and ICU Patients

Laurent Letourneau-Guillon, MD, MSc
Centre Hospitalier de l'Université de Montréal
Steering Away From Full Supervision: Using Weakly- and Self-supervised Learning to Track and Predict Intracerebral Hematoma Expansion

Aaron W. Maxwell, MD
The Warren Alpert Medical School of Brown University
Investigating the Effects of Hypoxia and pH on Pro-survival Signaling and Immune Cell Function in Hepatocellular Carcinoma: Implications for Liver-directed Embolotherapies

Andy Tsai, MD, PhD
Boston Children's Hospital
How to Improve a Radiologist's Ability to Date Fractures in Suspected Infant Abuse?

Vivek Yedavalli, MD
Johns Hopkins University
Utilizing a Novel MR Spectroscopic Method to Assess Two Antioxidants, Glutathione and Ascorbate, as Potential Biomarkers in Stroke Evolution and Recovery