Erlangen, Germany

Stefan Huwer

USPTO Granted Patents = 10 

 

Average Co-Inventor Count = 2.2

ph-index = 4

Forward Citations = 25(Granted Patents)


Company Filing History:


Years Active: 2012-2020

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10 patents (USPTO):Explore Patents

Title: The Innovative Contributions of Stefan Huwer

Introduction

Stefan Huwer is a prominent inventor based in Erlangen, Germany. He has made significant contributions to the field of medical imaging, particularly through his innovative methods and systems. With a total of 10 patents to his name, Huwer's work has advanced the way medical image data is visualized and classified.

Latest Patents

One of Huwer's latest patents is a method and system for visualizing a medical image data set. This invention focuses on magnetic resonance image data sets, where the computer determines subsets of the data related to different parameters. By assigning distinct colors to these subsets, the method allows for a combined visualization that enhances the clarity of medical images. Another notable patent involves a method and apparatus for classifying magnetic resonance measurement data. This invention utilizes MR fingerprinting methods to classify measurement data into tissue classes based on derived texture parameters, providing valuable outputs for medical analysis.

Career Highlights

Throughout his career, Stefan Huwer has worked with leading companies in the medical technology sector, including Siemens Aktiengesellschaft and Siemens Healthcare GmbH. His experience in these organizations has allowed him to develop and refine his innovative ideas, contributing to advancements in medical imaging technology.

Collaborations

Huwer has collaborated with notable professionals in his field, including Thorsten Feiweier and David Andrew Porter. These collaborations have further enriched his work and expanded the impact of his inventions.

Conclusion

Stefan Huwer's contributions to medical imaging through his patents and collaborations highlight his role as an influential inventor in the field. His innovative methods continue to shape the future of medical technology, improving the visualization and classification of medical data.

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