| 1-R21-EB030209-01A1 |
A Fully Decentralized Federated Learning Framework for Automated Image Segmentation in Cancer Radiotherapy |
Yading Yuan |
Icahn School of Medicine at Mount Sinai |
| 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 |
| 5-R01-EB031722-02 |
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-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-R41-EB034186-01 |
An AI assistance tool to guide novice practitioners in the competent performance of flexible video laryngoscopy |
Dan Witte |
Perceptron Health, Inc. |
| 1-R21-EB035382-01 |
Angiography-derived Imaging Biomarkers of the Coronary Microcirculation |
Marie Guerraty |
University of Pennsylvania |
| 1-R56-EB033332-01 |
Artificial Intelligence Driven Platform for PET/MR Imaging |
Xiaofeng Yang |
Emory University |
