Otawara, Japan

Yojiro Suzuki

USPTO Granted Patents = 7 

Average Co-Inventor Count = 2.2

ph-index = 1

Forward Citations = 28(Granted Patents)


Location History:

  • Otawara, JP (2019 - 2020)
  • Vernon Hills, IL (US) (2022)
  • Oyama, JP (2024)

Company Filing History:


Years Active: 2019-2025

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7 patents (USPTO):Explore Patents

Title: The Innovations of Yojiro Suzuki

Introduction

Yojiro Suzuki is a prominent inventor based in Otawara, Japan. He has made significant contributions to the field of medical imaging, holding a total of 7 patents. His work focuses on enhancing the quality and accuracy of medical image processing, which is crucial for effective diagnosis and treatment.

Latest Patents

Among his latest patents is a medical image processing apparatus that includes processing circuitry. This apparatus acquires medical image data, specifies a target area for a super-resolution process, and outputs information on the specified target area to improve image quality. Another notable patent is for a photon counting X-ray image diagnosis apparatus. This invention includes an X-ray tube, a photon counting X-ray detector, and processing circuitry that generates calibration data for pileup correction based on detection data sets.

Career Highlights

Yojiro Suzuki has worked with leading companies in the medical technology sector, including Canon Medical Systems Corporation and Toshiba Medical Systems Corporation. His experience in these organizations has allowed him to develop innovative solutions that address complex challenges in medical imaging.

Collaborations

Throughout his career, Suzuki has collaborated with talented professionals such as Takahiro Yoda and Katsuhito Morino. These collaborations have contributed to the advancement of medical imaging technologies and have fostered a spirit of innovation in the field.

Conclusion

Yojiro Suzuki's contributions to medical imaging through his patents and collaborations highlight his role as a key innovator in the industry. His work continues to impact the way medical images are processed and analyzed, ultimately improving patient care.

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