Past Seed Grant Winners

2024
  • Ye Tian, University of Southern California, Los Angeles, CA, USA.
2023
  • Felicia Seemann, NHLBI/NIH, Bethesda, MD, USA. Noninvasive Pressure-Volume Loops Using the Elastance Model and CMR – A Porcine Validation During Preload Alteration Challenge
2022
  • Justin Canada, Virginia Commonwealth University, Richmond, VA, USA. Feasibility and reproducibility of non-invasive MR oximetry with an exercise stress CMR and cardiopulmonary exercise testing (ExeCMR+CPET) (Clinical)
  • Junyu Wang, Unversity of Virginia, Charlottesville, VA, USA. DEep learning-based rapid Spiral Image Reconstruction (Basic)
2021
  • Debbie Falconer, Royal Free, London, UK – A novel re-usable, CMR-compatible ECGi vest for large-scale clinical research use: SMART-ECGi (Clinical)
  • Amita Singh, University of Chicago, Chicago, IL, USA. Multicenter Study of Automated Quantitative (AQUA) Myocardial Perfusion to Improve Stress CMR Interpretation and Reporting (Basic)
2020
  • Bradley Allen, Northwestern University, Chicago, IL, USA. Evaluating Multi-Institution Variability in 4D flow MRI Hemodynamic Characterization of Type B Aortic Dissection with 3D Printed Models.
  • Nivedita K. Naresh, University of Colorado, Denver, CO, USA. MRI fOr Cardiotoxity in Kids (MOCK)
2019
  • Jesse Hamilton, Case Western Reserve University, Cleveland, OH, USA. Cardiac CINE Magnetic Resonance Fingerprinting (Basic).
  • Upasana Tayal, Imperial College, London, UK. Novel approaches to cardiovascular magnetic resonance data science in dilated cardiomyopathy (Clinical) 
2018
  • Yan Wen, Cornell University, Ithaca, NY, USA. Assessment of Heart Chamber Oxygenation Using Quantitative Susceptibility Mapping (Basic).
  • Anthony Christodoulou, Cedars-Sinai Medical Center, Los Angeles, USA. Towards a Push-Button, Single Scan Quantitative CMR Exam (Clinical) 
2017
  • Gabriella Captur,Barts Heart Centre, London, UK. Mapping by Dark Blood SASHA- A Novel Quantitative Biomarker for Investigating Lamin DCM
  • Yibin Xie, Cedars-Sinai Medical Center, Los Angeles, CA, USA. Highly-Efficient Quantitative CMR Evaluation of Coronary Atherosclerosis
2016
  • Zhengwei Zhou, Cedars-Sinai Medical Center, Los Angeles, CA, USA. Novel CMR-characterized tissue biomarkers
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