| 1-R13-EB035924-01A1 |
2024 Image Science Gordon Research Conference and Gordon Research Seminar |
Jannick Rolland |
Gordon Research Conferences |
| 7-R21-EB030209-02 |
A Fully Decentralized Federated Learning Framework for Automated Image Segmentation in Cancer Radiotherapy |
Yading Yuan |
Columbia University Health Sciences |
| 5-R01-EB031051-03 |
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-EB031722-03 |
Advanced Normalization Tools |
James Gee |
University of Pennsylvania |
| 5-P41-EB028741-04 |
Advanced Technologies - National Center for Image Guided Therapy (AT-NCIGT) |
Clare Tempany |
Brigham And Women'S Hospital |
| 1-R01-EB034261-01A1 |
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 |
| 1-R01-EB035160-01 |
AI-Powered MRI Quality Control and Artifact Correction for Multi-Site Studies |
Pew-Thian Yap |
Univ of North Carolina Chapel Hill |
| 1-R21-EB035382-01 |
Angiography-derived Imaging Biomarkers of the Coronary Microcirculation |
Marie Guerraty |
University of Pennsylvania |
