Szeged, Hungary

Géza Makay

This inventor holds 1 USPTO granted patent. Top assignee: General Electric Company. Active years: 2008.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Géza Makay. Retrieved from https://idiyas.com/inventor/géza-makay

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 17(Granted Patents)


Company Filing History:


Years Active: 2008

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1 patent (USPTO):Explore Patents

Title: Innovations by Géza Makay

Introduction

Géza Makay is a notable inventor based in Szeged, Hungary. He has made significant contributions to the field of imaging systems, particularly in the segmentation of organs within medical images. His work is essential for enhancing the accuracy of medical diagnostics and treatment planning.

Latest Patents

Géza Makay holds a patent for "Systems and methods for segmenting an organ in a plurality of images." This innovative system is designed to generate a first set of slices that display images of a subject with the organ in question. The system includes a controller that identifies a second set of slices containing the organ while excluding the remaining slices. This technology is crucial for effectively segmenting the organ from the images, thereby improving medical imaging techniques. He has 1 patent to his name.

Career Highlights

Géza Makay is associated with General Electric Company, where he applies his expertise in imaging technology. His role at the company allows him to work on cutting-edge projects that push the boundaries of medical imaging and diagnostics.

Collaborations

Some of his notable coworkers include Márta Fidrich and Eörs Máté, who contribute to the collaborative environment that fosters innovation and development in their projects.

Conclusion

Géza Makay's contributions to the field of imaging systems exemplify the impact of innovative thinking in medical technology. His work continues to influence advancements in the way medical images are processed and analyzed.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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