This inventor holds 1 USPTO granted patent. 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: Barry Siegel: Inventor in Medical Imaging
Introduction
Barry Siegel is an inventor based in St. Louis, Missouri, and is associated with Washington University. His patent work concerns deep-learning methods for denoising medical imaging data.
Latest Patents
Siegel is associated with 1 patent: “Systems and Methods for a Task-Specific Deep-Learning-Based Denoising Approach for Myocardial Perfusion SPECT.” The patent describes a computer-based system that uses a trained model to denoise imaging scans while accounting for an observer loss function, then outputs a denoised scan. The supplied description refers to both single-photon emission computed tomography (SPECT) and computed tomography (CT).
Career Highlights
Siegel’s listed work connects machine learning with medical imaging, with an emphasis on improving image quality through task-specific denoising. He is associated with Washington University.
Collaborations
His listed coworkers include Abhinav Kumar Jha and Md Ashequr Rahman. Their names are associated with the collaborative research context surrounding the patent.
Conclusion
Barry Siegel’s patent work reflects an application of deep learning to medical imaging, focusing on denoising methods intended to support clearer scans.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile