Baltimore, MD, United States of America

Tae Soo Kim

USPTO Granted Patents = 4 

 

Average Co-Inventor Count = 8.1

ph-index = 3

Forward Citations = 33(Granted Patents)


Company Filing History:


Years Active: 2019-2022

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4 patents (USPTO):Explore Patents

Title: Innovations by Inventor Tae Soo Kim in Medical Imaging

Introduction

Tae Soo Kim is a prominent inventor residing in Baltimore, MD, recognized for his innovative contributions to medical imaging technologies. With a total of four patents to his name, he has significantly advanced the field of artificial intelligence-based medical image segmentation. His work aims to enhance diagnostic processes through automation and precision.

Latest Patents

Among his latest patents is a sophisticated method and system for artificial intelligence-based medical image segmentation. This invention involves receiving a medical image of a patient, automatically determining the current segmentation context based on that image, and selecting at least one segmentation algorithm from a variety of options. Finally, a target anatomical structure is effectively segmented in the medical image using the chosen algorithm, improving the accuracy and efficiency of medical evaluations.

Career Highlights

Tae Soo Kim has built an impressive career, having worked with prestigious organizations such as Siemens Healthcare GmbH and The Johns Hopkins University. His experience in these cutting-edge institutions has greatly influenced his research and development in the healthcare sector.

Collaborations

Throughout his career, Kim has collaborated with notable professionals in his field, including Shaohua Kevin Zhou and Mingqing Chen. These partnerships have facilitated the exchange of ideas and fostered innovation in medical imaging technologies.

Conclusion

In summary, Tae Soo Kim exemplifies the spirit of innovation in medical imaging with his groundbreaking patents and impressive career. His work continues to impact the healthcare industry, making significant strides in automating and improving diagnostic processes through advanced artificial intelligence techniques.

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