Berlin, Germany

Stefan Kluckner

USPTO Granted Patents = 29 

 

Average Co-Inventor Count = 4.5

ph-index = 7

Forward Citations = 125(Granted Patents)


Location History:

  • Graz, AT (2016)
  • Lawrenceville, NJ (US) (2017 - 2018)
  • Princeton, NJ (US) (2018 - 2020)
  • Berlin, DE (2019 - 2023)

Company Filing History:


Years Active: 2016-2025

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29 patents (USPTO):Explore Patents

Title: The Innovative Contributions of Stefan Kluckner in Deep Learning and Volume Quantification

Introduction: Stefan Kluckner, based in Berlin, Germany, is a notable inventor with an impressive portfolio of 28 patents. His work primarily focuses on advancements in deep learning technologies and methods for quantifying various specimens. Kluckner's contributions are helping to push the boundaries of medical diagnostics and analysis.

Latest Patents: Among his latest patents, two stand out for their innovative approaches. The first patent describes deep learning volume quantifying methods and apparatus, which utilize a neural network-based technique to classify and quantify the volume of a specimen. This method involves capturing images of the specimen and classifying them into different volume classes using a trained neural network. Additionally, the patent includes quality check modules and specimens testing apparatus tailored to enhance the volume quantification process.

The second patent introduces methods and apparatus that quantify a specimen from multiple lateral views. This model-based approach captures images of specimens illuminated by various spectra at different nominal wavelengths. It classifies the specimen into distinct classes, such as serum, plasma, settled blood, gel separators, and other aspects, all while determining the locations and volumes of important interfaces within the specimen.

Career Highlights: Throughout his career, Stefan Kluckner has made significant contributions while working at leading companies such as Siemens Healthcare Diagnostics and Siemens Healthcare. His experience in these corporate environments has undoubtedly influenced his innovative spirit and allowed him to develop cutting-edge patents that can be applied in real-world medical scenarios.

Collaborations: Kluckner has collaborated with distinguished colleagues, including Terrence Chen and Yao-Jen Chang. These partnerships have contributed to refining his inventions and enhancing their credibility in the field of medical technology.

Conclusion: Stefan Kluckner's work exemplifies the essence of innovation in healthcare technology. With a strong backdrop of patents and collaborations, his contributions are set to revolutionize how medical specimens are quantified and analyzed. As the field of deep learning continues to evolve, Kluckner’s advancements are likely to leave a lasting impact on the industry.

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