This inventor holds 8 USPTO granted patents and 2 published patent applications and 4 EPO patents. Top assignees: University of Iowa Research Foundation, Mimo Ag, The United States Government as Represented by the Department of Veterans Affairs. Active years: 2018-2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:



Years Active: 2018-2025
Title: Gwenole Quellec: Innovator in Automated Diagnostic Models
Introduction
Gwenole Quellec is a prominent inventor based in Brest, France. He has made significant contributions to the field of automated diagnostics, holding a total of four patents. His work focuses on innovative methods for diagnosing disease conditions through advanced image analysis techniques.
Latest Patents
One of Gwenole Quellec's latest patents involves a method for diagnosing a disease condition using an automated diagnostic model. This method includes obtaining first samples of intensity distributions from objects of interest and second samples from confounding objects. The process involves transforming these samples into an appropriate space and performing dimension reduction to generate an object detector. Subsequently, digital images are transformed and reduced, allowing for the classification of pixels based on comparisons with the object detector. This innovative approach enables the identification of objects of interest from the classified pixels.
Career Highlights
Gwenole Quellec has had a distinguished career, working with notable organizations such as the University of Iowa Research Foundation and the United States Government, represented by the Department of Veterans Affairs. His expertise in automated diagnostics has positioned him as a leader in his field.
Collaborations
Gwenole Quellec has collaborated with various professionals, including Michael D. Abramoff, enhancing the impact of his work in the realm of medical diagnostics.
Conclusion
Gwenole Quellec's contributions to automated diagnostic models reflect his commitment to advancing healthcare technology. His innovative methods and collaborations continue to influence the field significantly.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile