Funded Projects for Image Processing, Visual Perception and Display

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Grant Number Project Title Principal Investigator Institution
7-R21-EB030209-02 A Fully Decentralized Federated Learning Framework for Automated Image Segmentation in Cancer Radiotherapy Yading Yuan Columbia University Health Sciences
7-R01-EB032674-02 Next-Generation Thalamic Nuclei Visualization and Segmentation Methods Manojkumar Saranathan Univ of Massachusetts Med Sch Worcester
7-R01-EB029431-02 Develop a large-scale library of comprehensive deformable image registration (DIR) benchmark datasets and an integrated framework for quantifying accuracy of patient-specific DIR results Deshan Yang Duke University
5-U24-EB029011-05 ShapeWorksStudio: An Integrative, User-Friendly, and Scalable Suite for Shape Representation and Analysis Shireen Elhabian University of Utah
5-U24-EB029007-05 Lab-to-User Training and Dissemination for the FEBio Software Suite Jeffrey Weiss University of Utah
5-T32-EB016640-10 Medical Imaging Informatics Training Grant Alex Bui University of California Los Angeles
5-R24-EB029173-05 Neuroimaging Informatics Tools and Resources Collaboratory: Outreach, Infrastructure and Maintenance David Kennedy Univ of Massachusetts Med Sch Worcester
5-R21-EB034184-02 Improving functional MRI Analysis via Integrated One-Step Tensor-variate Methodology Ranjan Maitra Iowa State University
5-R21-EB033618-02 Development and Validation of an Artificial Intelligence-Based Clinical Decision Support Tool for Videofluoroscopic Swallowing Studies Nicole Rogus-Pulia University of Wisconsin-Madison
5-R21-EB033516-03 General Linear Modeling For Magnetic Resonance Spectroscopy Georg Oeltzschner Johns Hopkins University