| 5-R01-EB029957-04 |
A comprehensive deep learning framework for MRI reconstruction |
Rizwan Ahmad |
Ohio State University |
| 5-R01-EB031585-03 |
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-EB033387-03 |
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-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 |
| 1-R21-EB029607-01A1 |
Decoding inner speech: An AI approach to transcribing thoughts via EEG & EMG |
Jose Cortes-Briones |
Yale University |
