Wuhan, China

Yujie Tian

This inventor holds 2 USPTO granted patents. Top assignee: Shanghai United Imaging Healthcare Co., Ltd.. Active years: 2021-2023.


% Patents Active = 100.0

Average Co-Inventor Count = 11.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2021-2023

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2 patents (USPTO):Explore Patents

Title: Yujie Tian: Innovator in Image Segmentation Technology

Introduction

Yujie Tian is a prominent inventor based in Wuhan, China. He has made significant contributions to the field of medical imaging, particularly in the area of image segmentation. With a total of 2 patents, his work focuses on enhancing the accuracy and efficiency of lung image analysis.

Latest Patents

Yujie Tian's latest patents revolve around methods and systems for image segmentation. One of his notable applications discloses a method for segmenting a lung image. This method includes obtaining a target image related to a lung region, which consists of multiple image slices. The process involves segmenting the lung region from the target image, identifying airway structures, and recognizing one or more fissures within the lung region. Additionally, the method determines one or more pulmonary lobes in the lung region, showcasing his innovative approach to medical imaging.

Career Highlights

Yujie Tian is currently employed at Shanghai United Imaging Healthcare Co., Ltd. His role at the company allows him to apply his expertise in image segmentation technology, contributing to advancements in healthcare imaging solutions. His work is instrumental in improving diagnostic processes and patient outcomes.

Collaborations

Yujie collaborates with talented individuals in his field, including Lijun Xu and Kai He. These collaborations enhance the innovative potential of his projects and contribute to the development of cutting-edge technologies in medical imaging.

Conclusion

Yujie Tian is a dedicated inventor whose work in image segmentation is paving the way for advancements in medical imaging technology. His contributions are vital for improving the accuracy of lung image analysis, ultimately benefiting healthcare professionals and patients alike.

Profile summary based on public USPTO records.
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