Bubenreuth, Germany

Philipp Hoelzer

USPTO Granted Patents = 18 

Average Co-Inventor Count = 3.9

ph-index = 4

Forward Citations = 119(Granted Patents)


Location History:

  • Bubenreuth, DE (2018 - 2023)
  • Baltimore, MD (US) (2020 - 2023)

Company Filing History:


Years Active: 2018-2025

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18 patents (USPTO):

Title: The Innovations of Philipp Hoelzer

Introduction

Philipp Hoelzer is a notable inventor based in Bubenreuth, Germany. He has made significant contributions to the field of medical technology, particularly in the area of computed tomography. With a total of 18 patents to his name, Hoelzer's work has had a profound impact on patient care and treatment planning.

Latest Patents

One of Hoelzer's latest patents involves a method for providing result data that is suitable for use in planning the irradiation of a patient. This method utilizes computed tomography (CT) measurement data acquired through a CT device equipped with a quantum counting X-ray detector. The CT measurement data is processed to generate result data, taking into account the specific information content derived from the quantum counting X-ray detector. This result data is designed to be used in the planning of patient irradiation and is provisioned to an interface for usability in clinical settings.

Career Highlights

Throughout his career, Philipp Hoelzer has worked with prominent companies in the healthcare sector, including Siemens Healthcare GmbH and Siemens Healthineers AG. His experience in these organizations has allowed him to develop innovative solutions that enhance medical imaging and treatment planning.

Collaborations

Hoelzer has collaborated with various professionals in his field, including Grzegorz Soza and Razvan Ionasec. These collaborations have contributed to the advancement of technology in medical imaging and patient care.

Conclusion

Philipp Hoelzer's contributions to the field of medical technology through his patents and collaborations highlight his commitment to improving patient outcomes. His innovative methods in computed tomography continue to shape the future of medical imaging and treatment planning.

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