Albuquerque, NM, United States of America

Trilce Estrada


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: Trilce Estrada: Innovator in Retinal Imaging Technology

Introduction

Trilce Estrada is a notable inventor based in Albuquerque, NM (US). He has made significant contributions to the field of retinal imaging technology. His work focuses on developing systems that enhance the screening of retinal diseases, showcasing his commitment to advancing medical technology.

Latest Patents

Trilce Estrada holds a patent for a Generalized Retinal Image Screening System (GRIS). This innovative system provides a method to automatically screen images from various fundus cameras for multiple retinal diseases. The technology incorporates stacked autoencoders, amplitude modulation-frequency modulation filters, and artificial neural networks. A key feature of this invention is the use of a multi-class classifier, such as a support vector machine (multi-class SVM) classifier, to identify various retinal pathologies. The system has been validated on a proprietary database containing over 250,000 retinal images from different camera types, ranging from table-top fundus cameras to portable hand-held devices.

Career Highlights

Trilce Estrada is currently associated with Visionquest Biomedical LLC, where he continues to innovate in the field of biomedical engineering. His work has the potential to significantly improve the early detection of retinal diseases, which can lead to better patient outcomes.

Collaborations

Trilce has collaborated with talented individuals such as Peter Soliz and Jeremy Benson. Their combined expertise contributes to the advancement of retinal imaging technologies and the development of effective screening systems.

Conclusion

Trilce Estrada's contributions to retinal imaging technology exemplify the impact of innovation in healthcare. His patented system represents a significant step forward in the automatic screening of retinal diseases, showcasing the importance of technological advancements in improving medical diagnostics.

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