Seattle, WA, United States of America

Ian Humphreys

This inventor holds 1 USPTO granted patent. Top assignees: Seattle Children's Hospital, University of Washington. Active years: 2026.


% Patents Active = 100.0

Average Co-Inventor Count = 10.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Ian Humphreys: Innovator in Image Classification Technology

Introduction

Ian Humphreys is a notable inventor based in Seattle, WA. He has made significant contributions to the field of image classification, particularly in medical applications. His innovative methods have the potential to enhance the accuracy and efficiency of image analysis in surgical settings.

Latest Patents

Ian Humphreys holds a patent for a method for classifying images. This method involves classifying images from a source image stream as valid or invalid based on the presence of biological tissue or surgical tools. The process generates a condensed image stream that includes only the valid images. Additionally, his method employs a clustering algorithm to classify input images and uses labels to indicate the presence of surgical tools. The computational model is trained to identify valid images based on clarity and content.

Career Highlights

Throughout his career, Ian has worked with prestigious institutions such as the University of Washington and Seattle Children's Hospital. His work in these organizations has allowed him to apply his innovative ideas in real-world medical scenarios, contributing to advancements in healthcare technology.

Collaborations

Ian has collaborated with talented individuals in his field, including Lingga Adidharma and Randall Bly. These partnerships have fostered a collaborative environment that encourages the exchange of ideas and expertise.

Conclusion

Ian Humphreys is a pioneering inventor whose work in image classification technology is making a significant impact in the medical field. His innovative methods and collaborations continue to push the boundaries of what is possible in image analysis.

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