This inventor holds 2 USPTO granted patents. Top assignee: Marquette University. Active years: 2017-2018.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2017-2018
Title: Kevin C. Zimmerman: Innovator in X-ray Imaging Technology
Introduction
Kevin C. Zimmerman is a notable inventor based in Milwaukee, WI (US). He has made significant contributions to the field of X-ray imaging technology, particularly through his innovative methods that utilize artificial neural networks. With a total of 2 patents, Zimmerman's work is paving the way for advancements in material decomposition techniques.
Latest Patents
Zimmerman's latest patent focuses on the "Material decomposition of multi-spectral X-ray projections using neural networks." This method involves training an artificial neural network to process multi-spectral X-ray projections to determine composition information about an object. The process includes providing a multi-spectral X-ray projection that contains energy content information, which is then analyzed by the neural network to ascertain the equivalent thickness of at least one basis material. This innovative approach enhances the accuracy and efficiency of X-ray imaging.
Career Highlights
Kevin C. Zimmerman is affiliated with Marquette University, where he continues to engage in research and development in the field of imaging technology. His work is characterized by a commitment to advancing the capabilities of X-ray imaging through the integration of artificial intelligence.
Collaborations
Zimmerman collaborates with Tal Gilat Schmidt, contributing to the innovative research environment at Marquette University. Their combined expertise fosters a dynamic approach to solving complex problems in imaging technology.
Conclusion
Kevin C. Zimmerman stands out as an influential inventor in the realm of X-ray imaging technology. His innovative methods and dedication to research are shaping the future of material decomposition techniques.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
