| 1-R01-EB035231-01 |
Deep learning for opportunistic screening for osteoporosis and osteopenia from radiographs |
Ronnie Sebro |
Mayo Clinic Jacksonville |
| 1-R01-EB029431-01A1 |
Develop a large-scale library of comprehensive deformable image registration (DIR) benchmark datasets and an integrated framework for quantifying accuracy of patient-specific DIR results |
Deshan Yang |
Washington University |
| 7-R01-EB029431-02 |
Develop a large-scale library of comprehensive deformable image registration (DIR) benchmark datasets and an integrated framework for quantifying accuracy of patient-specific DIR results |
Deshan Yang |
Duke University |
| 5-K08-EB030120-04 |
Developing a virtual placenta biobank |
Jeffery Goldstein |
Northwestern University at Chicago |
| 5-R21-EB033618-02 |
Development and Validation of an Artificial Intelligence-Based Clinical Decision Support Tool for Videofluoroscopic Swallowing Studies |
Nicole Rogus-Pulia |
University of Wisconsin-Madison |
| 1-R01-EB034517-01A1 |
Development of a new weighted ROC (WROC) analysis - Resubmission - 1 |
Yulei Jiang |
University of Chicago |
| 5-R01-EB028753-03 |
Dynamic manifold-valued time series model in functional brain imaging |
Moo Chung |
University of Wisconsin-Madison |
| 1-R01-EB033773-01A1 |
Fast and Robust Deep Learning for Medical imaging: Segmentation and Registration methods invariant to contrast and resolution |
Adrian Dalca |
Massachusetts General Hospital |
| 5-R01-EB023281-08 |
FreeSurfer Development, Maintenance, and Hardening |
Douglas Greve |
Massachusetts General Hospital |
| 1-R01-EB034231-01 |
Full-stack automation for reliable and reproducible MRS of brain cancer |
Malgorzata Marjanska |
University of Minnesota |
