| 5-R01-EB031585-02 |
A Computational Framework Enabling Virtual Imaging Trials of 3D Quantitative Optoacoustic Tomography Breast Imaging |
Mark Anastasio |
University of Illinois at Urbana-Champaign |
| 5-R01-EB028350-04 |
A framework for developing translatable intelligent neural interface systems for precision neuromodulation therapies |
Babak Mahmoudi |
Emory University |
| 5-R01-EB033387-02 |
Achieve Fairness in AI-Assisted Mobile Healthcare Apps through Unsupervised Federated Learning |
Jingtong Hu |
University of Pittsburgh at Pittsburgh |
| 5-R01-EB032716-03 |
Adversarially Based Virtual CT Workflow for Evaluation of AI in Medical Imaging |
Ge Wang |
Rensselaer Polytechnic Institute |
| 5-R01-EB032807-02 |
AI-based Cardiac CT |
Hengyong Yu |
University of Massachusetts Lowell |
| 5-R03-EB032943-02 |
Application of machine learning for fast prediction of MRI-induced RF heating in patients with implanted conductive leads |
Laleh Golestani Rad |
Northwestern University at Chicago |
| 1-R21-EB030677-01A1 |
Automated Sonographic Detection of Pulmonary Embolism Using Machine Learning Algorithm |
Srikar Adhikari |
University of Arizona |
| 5-P41-EB031772-02 |
Center for Label-free Imaging and Multiscale Biophotonics (CLIMB) |
Stephen Boppart |
University of Illinois at Urbana-Champaign |
| 1-R01-EB031102-01 |
Constrained Disentanglement (CODE) Network for CT Metal Artifact Reduction in Radiation Therapy |
Ge Wang |
Rensselaer Polytechnic Institute |
| 1-DP2-EB035858-01 |
Crowd-Powered Machine Learning to Diagnose ASD and ADHD in Adolescents from Digital Social Interactions |
Peter Washington |
University of Hawaii at Manoa |
