Balfouria, Israel

Rakefet Rozen

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Mazor Robotics Ltd.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Rakefet Rozen. Retrieved from https://idiyas.com/inventor/rakefet-rozen

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Rakefet Rozen: Innovator in Spine Stress Mapping

Introduction

Rakefet Rozen is a pioneering inventor based in Balfouria, Israel. She has made significant contributions to the field of medical technology, particularly in the area of spine stress mapping. Her innovative work focuses on enhancing the understanding of spinal health through advanced imaging techniques.

Latest Patents

Rakefet Rozen holds a patent for a system and techniques for creating a spine stress map using finite element analysis. This patent, which is her sole patent, outlines a method for generating a multi-class segmentation of an anatomical element based on multiple magnetic resonance images from various patients. The system is designed to simulate stresses on the anatomical element and display stress maps through a user interface. These stress maps are determined using deep learning models that predict multi-labeled masks and stress maps for the anatomical element.

Career Highlights

Rakefet Rozen is associated with Mazor Robotics Ltd., a company known for its innovative solutions in robotic-assisted surgery. Her work at Mazor Robotics has allowed her to apply her expertise in medical imaging and finite element analysis to real-world applications, improving patient outcomes in spinal surgeries.

Collaborations

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Conclusion

Rakefet Rozen's contributions to spine stress mapping represent a significant advancement in medical technology. Her innovative approach combines imaging techniques with deep learning, paving the way for improved spinal health assessments.

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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