| 1-R21-EB034833-01A1 |
A Novel Personalized Flow Modeling Paradigm for Fetal Aorta and Its Validation with Fetal Cardiac MRI |
Zhenglun Wei |
Worcester Polytechnic Institute |
| 5-R01-EB031722-04 |
Advanced Normalization Tools |
James Gee |
University of Pennsylvania |
| 5-P41-EB028741-05 |
Advanced Technologies - National Center for Image Guided Therapy (AT-NCIGT) |
Clare Tempany |
Brigham And Women'S Hospital |
| 1-R50-EB038027-01 |
Advancing Medical Imaging Software with Machine Learning for NIH-Supported Research |
Alan Morris |
University of Utah |
| 5-R01-EB034261-02 |
Advancing three-dimensional preclinical dynamic contrast-enhanced photoacoustic computed tomography via quantitative image reconstruction |
Umberto Villa |
University of Texas at Austin |
| 1-R21-EB036284-01 |
AI-assisted Annotation of Minimally Invasive Surgical Video for Building Information-Rich Datasets and Data-Efficient Learning Systems |
Michael Yip |
University of California, San Diego |
| 5-R01-EB035160-02 |
AI-Powered MRI Quality Control and Artifact Correction for Multi-Site Studies |
Pew-Thian Yap |
Univ of North Carolina Chapel Hill |
| 5-R21-EB035382-02 |
Angiography-derived Imaging Biomarkers of the Coronary Microcirculation |
Marie Guerraty |
University of Pennsylvania |
| 5-R01-EB032825-03 |
Artificial Intelligence powered virtual digital twins to construct and validate AI automated tools for safer MR-guided adaptive RT of abdominal cancers |
Neelam Tyagi |
Sloan-Kettering Inst Can Research |
| 1-R01-EB036945-01 |
Bringing Coherent Fetal Brain Volumes and Automated Metrics to the Radiology Workflow |
Patricia Grant |
Boston Children'S Hospital |
