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

Grant Number Project Title Principal Investigator Institution
1-R01-EB037101-01 Robust and Interpretable Multi-modal AI/ML for Precision Medicine Tianlong Chen Univ of North Carolina Chapel Hill
1-R01-EB038719-01 SCH: Interpretable Machine Learning and Discovery in Medical Images Cynthia Rudin Duke University
5-R01-EB032896-04 SCH: Leverage clinical knowledge to augment deep learning analysis of breast images Shandong Wu University of Pittsburgh at Pittsburgh
7-R01-EB034116-03 SCH: New Advanced Machine Learning Framework for Mining Heterogeneous Ocular Data to Accelerate Heng Huang Univ of Maryland, College Park
1-R01-EB038734-01 SCH: Technology for Personalized Surgical Feedback using Vision and Language Data. Satyanarayana Vedula Johns Hopkins University
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
1-R01-EB036992-01 Technical Development and Validation of Synthetic Images in Multiphasic CT Examinations of the Kidneys Andrew Wentland University of Wisconsin-Madison
1-R01-EB036996-01 Trackerless Surgical Navigation for Dynamic Environments in Minimally Invasive Liver Surgery Haoyin Zhou Brigham And Women'S Hospital
5-R01-EB035934-02 XAI-TRUST: Explainable AI Techniques to Rigorously Understand, Scrutinize, and Trust Clinical AI Su-In Lee University of Washington