This inventor holds 3 USPTO granted patents. Top assignee: Siemens Medical Solutions USA, Inc.. Active years: 2008-2015.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2008-2015
Title: Innovations of Yuanhsi (Tony) Chen
Introduction
Yuanhsi (Tony) Chen is a notable inventor based in Mt. Laurel, NJ (US). He has made significant contributions to the field of medical imaging, holding a total of 3 patents. His work focuses on enhancing the accuracy and efficiency of medical image analysis.
Latest Patents
One of his latest patents is titled "Systems and methods for detecting and visualizing correspondence corridors on two-dimensional and volumetric medical images." This invention provides a method for detecting a corresponding region of interest in digital medical images. The method includes receiving a plurality of digital images, identifying anatomical landmarks, and correlating the images based on these landmarks to automatically identify regions of interest.
Another significant patent is "Automatic seeding points selection for DTI fiber tracking." This invention discloses methods for automatically generating regions of seeding points for fiber tracking in diffusion tensor images. The methods are based on connected region growth and involve criteria such as Fractional Anisotropy thresholding and Dominant Eigen Vector similarity.
Career Highlights
Yuanhsi (Tony) Chen is currently employed at Siemens Medical Solutions USA, Inc. His work at Siemens has allowed him to apply his innovative ideas in a practical setting, contributing to advancements in medical technology.
Collaborations
He has collaborated with notable colleagues such as Mariappan S Nadar and Zhizhou Wang, further enhancing the impact of his work in the field.
Conclusion
Yuanhsi (Tony) Chen's contributions to medical imaging through his patents demonstrate his commitment to innovation and improvement in healthcare technology. His work continues to influence the way medical images are analyzed and interpreted.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
