EINDHOVEN, Netherlands

Yi Fan

This inventor holds 1 USPTO granted patent. Top assignee: Koninklijke Philips Corporation N.v.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yi Fan. Retrieved from https://idiyas.com/inventor/yi-fan-19ahdqpt

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


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: Yi Fan - Innovator in Image Feature Classification

Introduction

Yi Fan is a notable inventor based in Eindhoven, Netherlands. He has made significant contributions to the field of image processing, particularly in medical imaging. His innovative approach utilizes advanced learning algorithms to enhance the accuracy of image feature classification.

Latest Patents

Yi Fan holds a patent for a method and system for image feature classification. This patent, which is focused on using neural network-based learning algorithms, aims to make informed decisions about features in medical images or parts of images. Notably, his invention leverages multi-phasic images to improve classification accuracy by combining different phases as training data.

Career Highlights

Yi Fan is currently employed at Koninklijke Philips Corporation N.V., a leading company in health technology. His work at Philips allows him to apply his expertise in image processing to develop solutions that can significantly impact medical diagnostics and patient care.

Collaborations

Throughout his career, Yi Fan has collaborated with talented individuals such as Hongxin Chen and Jiayin Zhou. These partnerships have fostered a creative environment that encourages innovation and the development of cutting-edge technologies.

Conclusion

Yi Fan's contributions to image feature classification exemplify the intersection of technology and healthcare. His work not only advances the field of medical imaging but also enhances the potential for improved patient outcomes.

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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