This inventor holds 1 USPTO granted patent. Top assignee: University of Virginia Patent Foundation. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Innovations by Yu Wang in Cardiac Imaging Technology
Introduction
Yu Wang is an accomplished inventor based in Charlottesville, VA (US). He has made significant contributions to the field of cardiac imaging through his innovative patent. His work focuses on enhancing the accuracy of intramyocardial motion measurement using advanced deep learning techniques.
Latest Patents
Yu Wang holds a patent titled "Intramyocardial tissue displacement and motion measurement and strain analysis from MRI cine images using DENSE deep learning." This exemplary method and system utilize DENSE deep learning neural networks trained with displacement-encoded imaging data to estimate intramyocardial motion from various cardiac medical imaging modalities. These modalities include standard cardiac computed tomography (CT) images, magnetic resonance imaging (MRI) images, echocardiogram images, and heart ultrasound images. The DENSE deep learning neural networks are configured using contour motion data and displacement maps for effective training and adjustments.
Career Highlights
Yu Wang is associated with the University of Virginia Patent Foundation, where he continues to advance research in medical imaging technologies. His innovative approach has the potential to significantly improve cardiac diagnostics and patient outcomes.
Collaborations
Yu Wang has collaborated with notable colleagues, including Frederick H Epstein and Changyu Sun. Their combined expertise contributes to the development of cutting-edge solutions in the field of cardiac imaging.
Conclusion
Yu Wang's contributions to cardiac imaging through his innovative patent demonstrate the impact of deep learning technologies in medical diagnostics. His work is paving the way for more accurate and efficient methods in assessing heart health.