Kodaira, Japan

Shinsuke Katsuhara


Average Co-Inventor Count = 2.5

ph-index = 1

Forward Citations = 2(Granted Patents)


Location History:

  • Koganei, JP (2019)
  • Kodaira, JP (2020 - 2023)

Company Filing History:


Years Active: 2019-2025

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9 patents (USPTO):Explore Patents

Title: Shinsuke Katsuhara: Innovator in Medical Imaging Technology

Introduction

Shinsuke Katsuhara is a prominent inventor based in Kodaira, Japan. He has made significant contributions to the field of medical imaging technology, holding a total of 9 patents. His work focuses on enhancing machine learning models and improving the processing of medical images.

Latest Patents

Katsuhara's latest patents include a learning apparatus, a learning system, and a learning method for machine learning models. One of his notable inventions is a learning apparatus that utilizes a hardware processor to obtain a first medical image. This processor generates a second medical image that aligns features according to standard feature information, which is crucial for training machine learning models. Another significant patent involves an information processing device that operates between an imaging control device and an image management device. This device includes an abnormality detector that identifies abnormalities in medical images and determines the content or destination for transmitting these images.

Career Highlights

Throughout his career, Shinsuke Katsuhara has worked with notable companies such as Konica Minolta, Inc. and Icad, Inc. His experience in these organizations has allowed him to develop innovative solutions that address challenges in medical imaging.

Collaborations

Katsuhara has collaborated with esteemed colleagues, including Hitoshi Futamura and Satoshi Kasai. Their combined expertise has contributed to advancements in the field of medical technology.

Conclusion

Shinsuke Katsuhara's contributions to medical imaging technology through his patents and collaborations highlight his role as an influential inventor. His work continues to impact the way medical images are processed and analyzed, paving the way for advancements in healthcare.

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