Erlangen, Germany

Marvin Teichmann

This inventor holds 5 USPTO granted patents and 6 published patent applications and 3 EPO patents. Top assignees: Siemens Healthineers Ag, Georg-August-UNIVERSITÄT GÖTTINGEN Stiftung ÖFFENTLICHEN Rechts UNIVERSITÄTSMEDIZIN GÖTTINGEN, Georg-August-Universitaet Goettingen Stiftung Oeffentlichen Rechts Universitaetsmedizin Goettingen. Active years: 2025-2026.

USPTO Granted Patents = 5 

% Patents Active = 20.0

 

Average Co-Inventor Count = 3.4

ph-index = 1


Company Filing History:


Years Active: 2025-2026

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5 patents (USPTO):Explore Patents

Title: Marvin Teichmann: Innovator in Digital Pathology

Introduction

Marvin Teichmann is a notable inventor based in Erlangen, Germany. He has made significant contributions to the field of digital pathology through his innovative approaches to machine learning and image segmentation.

Latest Patents

Teichmann holds a patent for "Methods and systems for providing training data sets for training a machine-learned segmentation algorithm for use in digital pathology." This patent outlines methods and systems designed to provide training data sets for segmenting whole-slide images in digital pathology. The invention includes a process where a first segmentation of a whole slide image is refined based on an automatically generated annotation, resulting in a second segmentation that serves as ground truth for training machine learning segmentation algorithms.

Career Highlights

Throughout his career, Marvin Teichmann has worked with prominent organizations such as Siemens Healthineers and the University Medical Center Göttingen. His work has focused on enhancing the capabilities of digital pathology through advanced machine learning techniques.

Collaborations

Teichmann has collaborated with notable professionals in his field, including Arnaud Arindra Adiyoso and Andre Aichert. These collaborations have contributed to the advancement of technologies in digital pathology.

Conclusion

Marvin Teichmann's innovative work in digital pathology and machine learning has positioned him as a key figure in the field. His contributions continue to influence the development of advanced medical imaging technologies.

Profile summary based on public USPTO records.
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