Funded Projects for Image Processing, Visual Perception and Display

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Grant Number Project Title Principal Investigator Institution
1-R21-EB033923-01 Information-Theoretic Surprise-Driven Approach to Enhance Decision Making in Healthcare Ashif Iquebal Arizona State University-Tempe Campus
5-R01-EB034586-02 Integrating Artificial Intelligence for Optimal Analysis of CardiacPET/CT Piotr Slomka Cedars-Sinai Medical Center
5-R13-EB032243-03 International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI) 2021 Marius George Linguraru Children'S Research Institute
5-R21-EB032950-02 Interpretable Deep Learning Models for Analysis of Longitudinal 3D Mammography Screenings Nicha Dvornek Yale University
5-U24-EB029007-05 Lab-to-User Training and Dissemination for the FEBio Software Suite Jeffrey Weiss University of Utah
5-R01-EB008374-11 Longitudinal Mapping of Human Brain Development in the First Years of Life Pew-Thian Yap Univ of North Carolina Chapel Hill
5-R01-EB032384-02 Making the invisible visible: An automated clinical decision support tool for Intimate Partner Violence Risk and Severity Prediction (AIRS) Bharti Khurana Brigham And Women'S Hospital
5-R01-EB027147-04 Mapping the developing infant connectome Sarah Shultz Emory University
5-R01-EB031170-02 Measuring cortical plate and subplate thickness in the human fetal brain from magnetic resonance images Kiho Im Boston Children'S Hospital
1-R13-EB035921-01 Medical Image Perception Society (MIPS) XX Elizabeth Krupinski Emory University