Los Angeles, CA, United States of America

Kazunori Okada



Average Co-Inventor Count = 3.4

ph-index = 4

Forward Citations = 110(Granted Patents)


Location History:

  • Plainsboro, NJ (US) (2007 - 2010)
  • Los Angeles, CA (US) (2010 - 2019)

Company Filing History:


Years Active: 2007-2019

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14 patents (USPTO):Explore Patents

Title: Kazunori Okada: Innovator in Image Analysis Technology

Introduction

Kazunori Okada is a prominent inventor based in Los Angeles, CA, known for his significant contributions to the field of image analysis technology. With a total of 14 patents to his name, Okada has made remarkable advancements that enhance the classification of conditions through innovative devices and methods.

Latest Patents

One of Okada's latest patents is a device and method for classifying a condition based on image analysis. This image analysis device includes circuitry that receives one or more input images and detects a plurality of anatomical landmarks using a pre-determined face model. The circuitry extracts various geometric and local texture features based on these anatomical landmarks. Furthermore, it selects one or more condition-specific features from the extracted features and classifies the input images into one or more conditions based on these features.

Career Highlights

Throughout his career, Kazunori Okada has worked with notable organizations such as Siemens Medical Solutions USA, Inc. and Children's National Medical Center. His work in these institutions has allowed him to develop and refine his innovative technologies, contributing to advancements in medical imaging and analysis.

Collaborations

Okada has collaborated with esteemed professionals in his field, including Arun Krishnan and Dorin Comaniciu. These collaborations have further enriched his work and have led to the development of cutting-edge technologies in image analysis.

Conclusion

Kazunori Okada's contributions to image analysis technology through his patents and collaborations highlight his role as a leading inventor in this field. His innovative approaches continue to influence advancements in medical imaging and classification methods.

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