Skip to main content

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Funded Projects for Artificial Intelligence, Machine Learning, and Deep Learning

Grant Number Project Title Principal Investigator Institution
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-EB032716-04 Adversarially Based Virtual CT Workflow for Evaluation of AI in Medical Imaging Ge Wang Rensselaer Polytechnic Institute
1-R21-EB037268-01 AI-driven hip exoskeleton control framework that rapidly generalizes to a broad range of users and real-world locomotor tasks Inseung Kang Carnegie-Mellon University
1-R01-EB035679-01A1 An AI-Assisted Strategy for Monitoring Pulmonary Congestion in Acute Heart Failure Patients in Emergency Settings Tina Kapur Brigham And Women'S Hospital
5-R21-EB030677-02 Automated Sonographic Detection of Pulmonary Embolism Using Machine Learning Algorithm Srikar Adhikari University of Arizona
5-P41-EB031772-03 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