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

Grant Number Project Title Principal Investigator Institution
1-R21-EB034428-01A1 Predicting recovery after TBI: Development and comparison of MR-supplemented models using non-parametric and machine learning multimodal fusion Martin Monti University of California Los Angeles
5-R01-EB030582-04 Quantification of Liver Fibrosis with MRI and Deep Learning Lili He Cincinnati Childrens Hosp Med Ctr
1-R01-EB036013-01A1 Resolution Enhancement and Contrast Harmonization for MR Neuroimaging Jerry Prince Johns Hopkins University
5-R01-EB032896-04 SCH: Leverage clinical knowledge to augment deep learning analysis of breast images Shandong Wu University of Pittsburgh at Pittsburgh
5-R01-EB021391-08 Shape Analysis Toolbox: From medical images to quantitative insights of anatomy Beatriz Paniagua Kitware, Inc.
5-R01-EB029398-04 Synchronized brain dynamics and eye movement trajectory for objective evaluation of robot-assisted surgical skills Somayeh Besharat Shafiei Roswell Park Cancer Institute Corp
5-R01-EB034737-03 Unsupervised Deep Photon-Counting Computed Tomography Reconstruction for Human Extremity Imaging Hengyong Yu University of Massachusetts Lowell
5-R01-EB035934-02 XAI-TRUST: Explainable AI Techniques to Rigorously Understand, Scrutinize, and Trust Clinical AI Su-In Lee University of Washington