This inventor holds 1 USPTO granted patent. Top assignee: Siemens Medical Solutions USA, Inc.. Active years: 2011.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2011
Title: Innovations by Haiying Guan in Digital Image Processing
Introduction
Haiying Guan is an accomplished inventor based in Baltimore, MD (US). He has made significant contributions to the field of digital image processing, particularly in the area of whole body landmark detection. His innovative work has led to the development of a patented system that enhances the accuracy and efficiency of image segmentation.
Latest Patents
Guan holds a patent for a "System and method for whole body landmark detection, segmentation and change quantification in digital images." This method involves segmenting digitized images by utilizing a training set of whole-body images, labeling anatomical landmarks, and aligning the images. The process generates positive and negative training examples for each landmark, which are then used to train a detector across various spatial scales. This innovative approach records the spatial relationship between coarse and fine resolution detectors, significantly improving landmark detection in digital images.
Career Highlights
Currently, Haiying Guan is employed at Siemens Medical Solutions USA, Inc., where he continues to advance his research and development efforts. His work at Siemens has positioned him as a key player in the medical imaging sector, contributing to the enhancement of diagnostic tools and techniques.
Collaborations
Guan collaborates with talented colleagues, including Xiaolei Sharon Huang and Xiang Sean Zhou. These partnerships foster a dynamic environment for innovation and the exchange of ideas, further driving advancements in their respective fields.
Conclusion
Haiying Guan's contributions to digital image processing through his patented innovations demonstrate his expertise and commitment to improving medical imaging technologies. His work not only enhances the accuracy of landmark detection but also paves the way for future advancements in the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
