This inventor holds 1 USPTO granted patent. Top assignee: University of Pennsylvania. Active years: 2018.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2018
Title: Ke Zeng - Innovator in Medical Image Analysis
Introduction
Ke Zeng is an accomplished inventor based in Philadelphia, PA (US). He has made significant contributions to the field of medical image analysis, particularly through his innovative patent that focuses on the automated detection of abnormalities in medical images. His work is vital in enhancing diagnostic accuracy and efficiency in healthcare.
Latest Patents
Ke Zeng holds a patent titled "Methods, systems, and computer readable media for automated detection of abnormalities in medical images." This patent outlines a method for automated abnormality detection, which includes receiving a target image and deformably registering a subset of normative images to the target image. The method further involves defining a dictionary using these normative images and classifying voxels of the target image as normal or abnormal based on sparse decomposition results. This innovative approach has the potential to revolutionize how medical images are analyzed.
Career Highlights
Ke Zeng is affiliated with the University of Pennsylvania, where he applies his expertise in medical imaging and technology. His work is characterized by a commitment to improving healthcare outcomes through advanced imaging techniques. With 1 patent to his name, he continues to push the boundaries of what is possible in medical diagnostics.
Collaborations
Ke Zeng has collaborated with notable professionals in his field, including Christos Davatzikos and Ali Guray Erus. These collaborations have further enriched his research and contributed to the advancement of medical imaging technologies.
Conclusion
In summary, Ke Zeng is a prominent inventor whose work in automated detection of abnormalities in medical images is paving the way for advancements in healthcare diagnostics. His contributions are essential for the future of medical imaging technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
