| 1-R21-EB033923-01 |
Information-Theoretic Surprise-Driven Approach to Enhance Decision Making in Healthcare |
Ashif Iquebal |
Arizona State University-Tempe Campus |
| 5-R21-EB032950-03 |
Interpretable Deep Learning Models for Analysis of Longitudinal 3D Mammography Screenings |
Nicha Dvornek |
Yale University |
| 5-R01-EB008374-12 |
Longitudinal Mapping of Human Brain Development in the First Years of Life |
Pew-Thian Yap |
Univ of North Carolina Chapel Hill |
| 5-R01-EB035529-02 |
Model Selection for Magnetic Resonance Spectroscopy |
Georg Oeltzschner |
Johns Hopkins University |
| 1-R56-EB034349-01 |
Multicomponent Modeling of High-Dimensional Multiparametric MRI Data |
Justin Haldar |
University of Southern California |
| 5-R01-EB033782-02 |
Multimodal Learning for Contextually-Aware Longitudinal PET/CT image analysis |
Tyler Bradshaw |
University of Wisconsin-Madison |
| 1-R56-EB033356-01 |
Multiparametric transrectal ultrasound and photoacoustic imaging of human prostate |
Sri Kothapalli |
Pennsylvania State University, The |
| 5-R21-EB035832-02 |
Next-gen 3D Modeling of Endoscopy Videos |
Soumyadip Sengupta |
Univ of North Carolina Chapel Hill |
| 1-R03-EB036572-01 |
Pediatric-specific computer aided detection of pulmonary nodules in computed tomography scans |
Russell Hardie |
University of Dayton |
| 5-R01-EB035092-02 |
PixelPrint: a 3D printing platform for creating lifelike patient-based CT phantoms |
Peter Noël |
University of Pennsylvania |
