Erlangen, Germany

Till Huelnhagen

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignees: Centre Hopitalier Universitaire Vaudois, Siemens Healthineers Ag. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Till Huelnhagen. Retrieved from https://idiyas.com/inventor/till-huelnhagen

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Till Huelnhagen: Inventor in Medical Imaging

Introduction

Till Huelnhagen is an inventor associated with Erlangen, Germany. His work includes a patented approach to automated assessment of the central vein sign in brain MRI, a feature relevant to evaluating white matter lesions.

Latest Patents

Huelnhagen is associated with 1 patent: “Method and System for Automated Central Vein Sign Assessment.” The invention uses machine-learning algorithms to analyze sets of MR images of brain lesions. One algorithm distinguishes lesions classified as CVS+/− from central vein sign–excluded lesions, while another distinguishes CVS-positive lesions from CVS-negative lesions. A final classifier combines the algorithms’ probability values, assigns probabilities to the relevant classes, and presents the class with the highest probability through an interface.

Career Highlights

The supplied career information lists Siemens Healthineers AG and Centre Hospitalier Universitaire Vaudois among the organizations where Huelnhagen has worked. His patent reflects an application of machine learning to medical-image analysis.

Collaborations

Jonas Richiardi is identified as Huelnhagen’s coworker. The available information does not specify their particular projects or contributions together.

Conclusion

Till Huelnhagen’s listed patent applies machine learning to automated central vein sign assessment in brain MRI, connecting his work with medical imaging and lesion classification.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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