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

Grant Number Project Title Principal Investigator Institution
1-R01-EB031102-01 Constrained Disentanglement (CODE) Network for CT Metal Artifact Reduction in Radiation Therapy Ge Wang Rensselaer Polytechnic Institute
1-R01-EB037388-01A1 Continued Development of Infant Neuroimaging Analysis Tools Li Wang Univ of North Carolina Chapel Hill
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
5-R21-EB034075-02 Deep Learning Assisted Scoring of Point of Care Lung Ultrasound for Acute Decompensated Heart Failure in the Emergency Department Tina Kapur Brigham And Women'S Hospital
1-R01-EB034692-01A1 Deep Learning Methods for Improving Gallium 68-Based PET Imaging Kuang Gong University of Florida
5-R01-EB031806-04 Deep Learning Reconstruction for Improved TOF PET Using Histo-Image Partitioning Samuel Matej University of Pennsylvania
5-R21-EB031185-03 Deep Learning Reconstruction for Rapid Multi-Component Relaxometry Fang Liu Massachusetts General Hospital
5-R01-EB034249-02 Deep learning technologies for estimating the optimal task performance of medical imaging systems Mark Anastasio University of Illinois at Urbana-Champaign
5-R21-EB032597-02 Deep Learning To Automate Late Mechanical Activation Detection From Cardiac Magnetic Resonance Images Miaomiao Zhang University of Virginia
2-R56-EB004640-16 Deep LOGISMOS Milan Sonka University of Iowa