Funded Projects for Image Processing, Visual Perception and Display

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Grant Number Project Title Principal Investigator Institution
1-R21-EB030209-01A1 A Fully Decentralized Federated Learning Framework for Automated Image Segmentation in Cancer Radiotherapy Yading Yuan Icahn School of Medicine at Mount Sinai
7-R21-EB030209-02 A Fully Decentralized Federated Learning Framework for Automated Image Segmentation in Cancer Radiotherapy Yading Yuan Columbia University Health Sciences
5-R01-EB031722-02 Advanced Normalization Tools James Gee University of Pennsylvania
5-P41-EB028741-04 Advanced Technologies - National Center for Image Guided Therapy (AT-NCIGT) Clare Tempany Brigham And Women'S Hospital
1-R41-EB034186-01 An AI assistance tool to guide novice practitioners in the competent performance of flexible video laryngoscopy Dan Witte Perceptron Health, Inc.
1-R56-EB033332-01 Artificial Intelligence Driven Platform for PET/MR Imaging Xiaofeng Yang Emory University
1-R01-EB032825-01A1 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
5-R03-EB032513-02 Augmented Reality Ultrasound Guidance Raj Shekhar Children'S Research Institute
1-R21-EB033954-01A1 Cognitive Domains Classification Using fNIRS-EEG Hendrik Santosa University of Pittsburgh at Pittsburgh
5-R01-EB031993-02 Computational Toolkit for Normalizing the Impact of CT Acquisition and Reconstruction on Quantitative Image Features William Hsu University of California Los Angeles