Grafing, Germany

Thomas Feilkas

USPTO Granted Patents = 13 

 

Average Co-Inventor Count = 2.3

ph-index = 9

Forward Citations = 206(Granted Patents)


Location History:

  • Grafing, DE (2007 - 2015)
  • Vaterstetten, DE (2015)
  • Kirchseeon, DE (2018 - 2024)

Company Filing History:


Years Active: 2007-2024

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13 patents (USPTO):Explore Patents

Title: Innovations by Thomas Feilkas

Introduction

Thomas Feilkas is a notable inventor based in Grafing, Germany. He has made significant contributions to the field of medical technology, particularly in the area of machine learning and medical imaging. With a total of 13 patents to his name, Feilkas has demonstrated a commitment to advancing healthcare through innovative solutions.

Latest Patents

One of his latest patents involves training a machine learning algorithm using digitally reconstructed radiographs. This invention discloses a computer-implemented method for training a likelihood-based computational model to determine the position of an annotated anatomical structure in a two-dimensional x-ray image. The method includes inputting medical digitally reconstructed radiographs (DRRs) along with annotations to train the algorithm, generating adaptable parameters for the machine learning model. The resulting algorithm can analyze clinical or synthesized DRRs to add annotations and identify anatomical structures.

Another significant patent by Feilkas is related to inline-view determination. This invention pertains to a computer-implemented medical data processing method for determining a 2D view within a 3D image dataset of a patient. The method involves identifying anatomical structures, determining their spatial positions, and defining a 2D view based on the spatial position of a medical instrument. This innovation enhances the accuracy and efficiency of medical imaging processes.

Career Highlights

Throughout his career, Thomas Feilkas has worked with prominent companies in the medical technology sector, including Brainlab AG and Ao Technology AG. His experience in these organizations has allowed him to develop and refine his innovative ideas, contributing to advancements in medical imaging and machine learning applications.

Collaborations

Feilkas has collaborated with notable professionals in the field, including Stefan Vilsmeier and Claus Schaffrath. These collaborations have further enriched his work and have led to the development of groundbreaking technologies in medical imaging.

Conclusion

Thomas Feilkas is a distinguished inventor whose work in machine learning and medical imaging has made a significant impact on healthcare technology. His innovative patents and collaborations reflect his dedication to improving medical practices through advanced technology.

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