Kawasaki, Japan

Shuji Umehara

USPTO Granted Patents = 2 

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2021

where 'Filed Patents' based on already Granted Patents

2 patents (USPTO):

Title: Innovations of Shuji Umehara

Introduction

Shuji Umehara is a notable inventor based in Kawasaki, Japan. He has made significant contributions to the field of digital image recognition and health technology. With a total of 2 patents, Umehara's work reflects his commitment to advancing technology for practical applications.

Latest Patents

Umehara's latest patents include a method for digital image recognition determination using a learned model. This invention involves acquiring a first determination result by making a determination concerning first data, using a first learned model. It also includes selecting a partial region of the first data and generating second data by applying a first alteration process to that region. The final determination result is obtained based on both the first and second determination results.

Another significant patent focuses on estimating sequential blood-sugar levels using images of meals. This method utilizes deep learning to predict variations in blood glucose levels based on meal images and associated data. The invention trains a predictor linked to a user, allowing for accurate predictions of blood glucose levels over time.

Career Highlights

Shuji Umehara is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to collaborate with cutting-edge technology and contribute to innovative projects that have real-world applications.

Collaborations

Umehara has worked alongside talented colleagues, including Yutaka Oishi and Chiaki Oishi. Their collaborative efforts have further enhanced the impact of their inventions in the technology sector.

Conclusion

Shuji Umehara's contributions to technology through his patents demonstrate his innovative spirit and dedication to improving digital image recognition and health monitoring. His work continues to influence advancements in these fields.

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