Kailua Kona, HI, United States of America

Richard Paul Stauduhar

This inventor holds 1 USPTO granted patent. Top assignee: University of South Florida. Active years: 2001.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Richard Paul Stauduhar. Retrieved from https://idiyas.com/inventor/richard-paul-stauduhar

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 41(Granted Patents)


Company Filing History:


Years Active: 2001

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1 patent (USPTO):Explore Patents

Title: Richard Paul Stauduhar: Medical Image Analysis Inventor

Introduction

Richard Paul Stauduhar is an inventor associated with Kailua Kona, Hawaii, and the University of South Florida. His patent work addresses the analysis of medical images to help identify and localize potential abnormalities, including in digital mammograms.

Latest Patents

Stauduhar is credited with 1 patent: “Normal and Abnormal Tissue Identification System and Method for Medical Images Such as Digital Mammograms.” The invention applies wavelet expansion to a medical image, producing subspace images at different resolutions. It selects images suited to a chosen detection range, applies statistical tests to establish thresholds, and combines the results into an output image that highlights regions that may contain abnormalities.

Career Highlights

The patent reflects Stauduhar’s work on computational methods for medical-image analysis. By combining multiresolution image processing with statistical testing, the system is designed to support the detection and localization of potentially abnormal tissue.

Collaborations

The supplied information identifies David Kent Cullers and Stanley R. Deans as Stauduhar’s coworkers. It also associates him with the University of South Florida.

Conclusion

Richard Paul Stauduhar’s patent focuses on using wavelet-based image processing and statistical analysis to identify potential abnormalities in medical images, including digital mammograms.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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