| 5-R01-EB031051-04 |
A no-gold-standard framework to objectively evaluate quantitative imaging methods with patient data |
Abhinav Jha |
Washington University |
| 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-EB014955-10 |
Accelerating Community-Driven Medical Innovation with VTK |
Patrick O'Leary |
Kitware, Inc. |
| 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 |
Utah State Higher Education System--University of Utah |
| 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-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-EB036247-01 |
Building models and tools to integrate multiscale brain imaging and multi-omics data |
Yu-Ping Wang |
Tulane University of Louisiana |
