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


Grant Number Project Title Principal Investigator Institution
5-R01-EB029957-03 A comprehensive deep learning framework for MRI reconstruction Rizwan Ahmad Ohio State University
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-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
1-R21-EB029607-01A1 Decoding inner speech: An AI approach to transcribing thoughts via EEG & EMG Jose Cortes-Briones Yale University