Graz, Austria

Thomas Fuchs

USPTO Granted Patents = 1 

 

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 9(Granted Patents)


Company Filing History:


Years Active: 2010

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1 patent (USPTO):Explore Patents

Title: Thomas Fuchs: Innovator in Tissue Classification Technology

Introduction

Thomas Fuchs is a notable inventor based in Graz, Austria. He has made significant contributions to the field of medical imaging, particularly in the classification of tissue using advanced image data techniques. His innovative approach has the potential to enhance diagnostic accuracy in medical practices.

Latest Patents

Fuchs holds a patent for a "Method and apparatus for classifying tissue using image data." This patent discloses a technique for classifying tissue based on image data, such as magnetic resonance imaging. A variety of tissue parameters are extracted from the image data and subsequently classified using a classification algorithm. The parameters undergo preprocessing, which may include discretization, to improve the classification process. The classification algorithm can utilize a decision model generated through machine learning, potentially creating a Bayesian network. The image data may involve magnetic resonance images obtained before and after the administration of lymphotropic superparamagnetic nanoparticles.

Career Highlights

Throughout his career, Thomas Fuchs has worked with prominent organizations, including Siemens Medical Solutions USA, Inc. His experience in these companies has allowed him to refine his skills and contribute to groundbreaking advancements in medical imaging technology.

Collaborations

Fuchs has collaborated with esteemed colleagues such as Bernd Wachmann and Claus Neubauer. These partnerships have fostered an environment of innovation and have led to significant advancements in the field.

Conclusion

Thomas Fuchs is a pioneering inventor whose work in tissue classification technology is making a substantial impact in the medical field. His innovative methods and collaborations continue to push the boundaries of what is possible in medical imaging.

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