This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Washington University. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Parna Eshraghi Boroojeni: Innovator in Deep Learning Image Reconstruction
Introduction
Parna Eshraghi Boroojeni is a notable inventor based in St. Louis, MO (US). He has made significant contributions to the field of image reconstruction through his innovative work in deep learning technologies. His expertise and dedication to advancing this area of research have led to the development of a unique patent.
Latest Patents
Parna holds a patent titled "Self-supervised deep learning image reconstruction with weighted training loss." This patent describes a system for image reconstruction that includes an input for receiving image data, a processor, and a memory. The memory stores instructions that enable the processor to reconstruct an image from the image data using a self-supervised deep learning model. This innovation showcases his ability to merge technology with practical applications in image processing.
Career Highlights
Parna is affiliated with Washington University, where he continues to push the boundaries of research in deep learning and image reconstruction. His work has garnered attention for its potential to enhance image quality and processing efficiency in various applications.
Collaborations
Parna collaborates with esteemed colleagues such as Hongyu An and Ulugbek Kamilov. Their combined expertise contributes to the advancement of research in their respective fields.
Conclusion
Parna Eshraghi Boroojeni is a pioneering inventor whose work in deep learning image reconstruction is making a significant impact. His contributions to the field are paving the way for future innovations in image processing technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
