University of Louisville Research Foundation

Enrico Rejc

Susan Jill Harkema

Samineh Mesbah

Ayman Sabry El-Baz

Ahmed Shalaby

An automated segmentation system for medical imaging data segments data into muscle and fat volumes, and separates muscle volumes into discrete muscle group volumes using a plurality of models of the medical imaging data, and wherein the medical imaging data includes data from a plurality of imaging modalities.

Automated segmentation of tissue in magnetic resonance imaging

Computer-implemented systems and methods for determining epidural spinal stimulation parameters that promote muscle activation use spectral analysis and machine learning techniques to characterize electromyography data.

Growing community of inventors

Louisville, KY, United States of America

Enrico Rejc