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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
1-R21-EB036699-01A1 A Deep Learning-based Assessment Pipeline for Peripherally Inserted Central Catheters (PICCs) on Pediatric Radiographs Hailong Li Cincinnati Childrens Hosp Med Ctr
1-R01-EB036541-01A1 A Dynamic Patient Data Library and Virtual Imaging Trial Platform for Training and Evaluating AI-based Algorithms in CT Imaging Lifeng Yu Mayo Clinic Rochester
5-R01-EB033387-04 Achieve Fairness in AI-Assisted Mobile Healthcare Apps through Unsupervised Federated Learning Jingtong Hu University of Pittsburgh at Pittsburgh
1-R01-EB036574-01A1 Advancing Machine Learning for CEST MRI Analysis through Partially Synthetic Data Zhongliang Zu Vanderbilt University Medical Center
1-R01-EB036536-01A1 Advancing Multiple Myeloma Prognostication and Monitoring through AI-Powered Comprehensive Imaging Xueyan Mei Icahn School of Medicine at Mount Sinai
1-R01-EB036016-01A1 Advancing Neurosymbolic AI for Smart and Trustworthy Healthcare Qi Long University of Pennsylvania
5-R01-EB032716-04 Adversarially Based Virtual CT Workflow for Evaluation of AI in Medical Imaging Ge Wang Rensselaer Polytechnic Institute
1-R01-EB036987-01 AI-assisted quantitative photon-counting-detector CT imaging for cytogenetic risk prediction and treatment response in multiple myeloma Francis Baffour Mayo Clinic Rochester
5-R01-EB032807-03 AI-based Cardiac CT Hengyong Yu University of Massachusetts Lowell