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Funded Projects for Image Processing, Visual Perception and Display

Grant Number Project Title Principal Investigator Institution
5-R01-EB031051-04 A no-gold-standard framework to objectively evaluate quantitative imaging methods with patient data Abhinav Jha Washington University
1-R21-EB034833-01A1 A Novel Personalized Flow Modeling Paradigm for Fetal Aorta and Its Validation with Fetal Cardiac MRI Zhenglun Wei Worcester Polytechnic Institute
5-R01-EB014955-10 Accelerating Community-Driven Medical Innovation with VTK Patrick O'Leary Kitware, Inc.
5-R01-EB031722-04 Advanced Normalization Tools James Gee University of Pennsylvania
5-P41-EB028741-05 Advanced Technologies - National Center for Image Guided Therapy (AT-NCIGT) Clare Tempany Brigham And Women'S Hospital
1-R50-EB038027-01 Advancing Medical Imaging Software with Machine Learning for NIH-Supported Research Alan Morris Utah State Higher Education System--University of Utah
5-R01-EB034261-03 Advancing three-dimensional preclinical dynamic contrast-enhanced photoacoustic computed tomography via quantitative image reconstruction Umberto Villa University of Texas at Austin
1-R21-EB036284-01 AI-assisted Annotation of Minimally Invasive Surgical Video for Building Information-Rich Datasets and Data-Efficient Learning Systems Michael Yip University of California, San Diego
5-R21-EB035382-03 Angiography-derived Imaging Biomarkers of the Coronary Microcirculation Marie Guerraty University of Pennsylvania
5-R01-EB032825-03 Artificial Intelligence powered virtual digital twins to construct and validate AI automated tools for safer MR-guided adaptive RT of abdominal cancers Neelam Tyagi Sloan-Kettering Inst Can Research