| 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 |
| 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 |
| 2-R01-EB014955-09 |
Accelerating Community-Driven Medical Innovation with VTK |
Patrick O'Leary |
Kitware, Inc. |
| 5-R01-EB031722-03 |
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-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 |
| 5-R01-EB032825-02 |
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 |
| 5-R03-EB032513-02 |
Augmented Reality Ultrasound Guidance |
Raj Shekhar |
Children'S Research Institute |
