Veldhoven, Netherlands

Philippe Paul Mazouer

This inventor holds 1 USPTO granted patent. Top assignee: Koninklijke Philips Corporation N.v.. Active years: 2019.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Philippe Paul Mazouer. Retrieved from https://idiyas.com/inventor/philippe-paul-mazouer

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2019

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1 patent (USPTO):Explore Patents

Title: Philippe Paul Mazouer: Medical Imaging Innovation

Introduction

Philippe Paul Mazouer is an inventor associated with Veldhoven, the Netherlands, and Koninklijke Philips N.V. His work includes an invention for model-based segmentation of anatomical structures in medical images. He is credited with 1 patent.

Latest Patents

Mazouer’s patent, “Model-Based Segmentation of an Anatomical Structure,” describes a system and method for segmenting a medical image that shows only part of an anatomical structure. The method applies a model to the image and adapts the model portion corresponding to the visible anatomy, while retaining a separate portion for anatomy not represented in the image. Metadata identifies which model parts were adapted and which were not. This information can help generate images that show users the extent of personalization and can support other forms of further processing.

Career Highlights

Mazouer’s patent work addresses a practical challenge in medical imaging: representing anatomical structures when the available image captures only part of them. The approach distinguishes image-supported model regions from regions that remain unadapted.

Collaborations

Mazouer’s listed coworkers include Irina Waechter-Stehle and Christian Buerger. His patent is associated with Koninklijke Philips N.V.

Conclusion

Philippe Paul Mazouer’s patented work contributes a method for making model-based medical-image segmentation more transparent by identifying which parts of an anatomical model have been personalized.

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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