This inventor holds 1 USPTO granted patent. Top assignee: General Electric Company. Active years: 2012.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2012
Title: Csongor Pal Sprencz: Innovator in Medical Imaging Technology
Introduction
Csongor Pal Sprencz is a notable inventor based in Budapest, Hungary. He has made significant contributions to the field of medical imaging technology, particularly in the detection of organ wall thickness. His innovative work has the potential to enhance diagnostic capabilities in healthcare.
Latest Patents
Csongor holds a patent for "Systems, methods and apparatus for detection of organ wall thickness and cross-section color-coding." This patent describes systems and methods that involve tracking a portion of an organ, determining wall contours, and color-coding confidence in those contours. The technology includes selecting a cross-section of an organ, determining the average intensity of the wall, and labeling sections of an organ image based on confidence levels.
Career Highlights
Csongor is currently employed at General Electric Company, where he applies his expertise in medical imaging. His work focuses on developing advanced imaging techniques that can improve the accuracy of organ assessments. His innovative approach has garnered attention in the medical community.
Collaborations
Some of Csongor's coworkers include Sandeep Dutta and Maria-Magdalena Nay. Their collaborative efforts contribute to the advancement of medical imaging technologies and enhance the overall research environment at General Electric Company.
Conclusion
Csongor Pal Sprencz is a pioneering inventor whose work in medical imaging technology is making a significant impact. His patent on organ wall thickness detection showcases his commitment to improving healthcare diagnostics.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
