Mortsel, Belgium

Jiri Hladuvka


 

Average Co-Inventor Count = 3.3

ph-index = 2

Forward Citations = 10(Granted Patents)


Company Filing History:


Years Active: 2016-2017

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3 patents (USPTO):Explore Patents

Title: Jiri Hladuvka: Innovator in Spine Imaging Technology

Introduction

Jiri Hladuvka is a notable inventor based in Mortsel, Belgium. He has made significant contributions to the field of medical imaging, particularly in the area of spine identification and labeling. With a total of 3 patents to his name, his work has the potential to enhance the accuracy and efficiency of spine-related diagnostics.

Latest Patents

Hladuvka's latest patents include a method, apparatus, and system for identifying a specific part of a spine in an image. This innovative approach involves determining various parts of the spine, classifying discriminative parameters related to anatomical properties, and ultimately identifying specific vertebrae, such as the T12 vertebra. This technology can serve as a foundation for advanced automatic spine labeling algorithms. Another significant patent focuses on automating spine labeling in computed tomography (CT) images. This system matches a model of a spine segment with actual segments in the image, ensuring reliable labeling and high throughput of images.

Career Highlights

Throughout his career, Jiri Hladuvka has worked with prominent companies in the healthcare and research sectors. Notably, he has been associated with Agfa Healthcare and VRVis Forschungs GmbH. His experience in these organizations has allowed him to develop and refine his innovative ideas in medical imaging.

Collaborations

Hladuvka has collaborated with talented individuals in his field, including David Major and Katja Bühler. These partnerships have likely contributed to the advancement of his research and the successful development of his patents.

Conclusion

Jiri Hladuvka's contributions to spine imaging technology demonstrate his commitment to improving medical diagnostics. His innovative patents have the potential to significantly impact the field, making spine identification and labeling more efficient and accurate.

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