This inventor holds 2 USPTO granted patents. Top assignee: Oxford University Innovation Ltd. Active years: 2023-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023-2026
Title: Konrad Werys: Innovations in Medical Imaging and Data Analysis.
Introduction
Konrad Werys is an inventor based in Oxford, Great Britain. His work includes inventions related to quantitative magnetic resonance imaging and methods for predicting the quality of data-analysis outputs. He is associated with Oxford University Innovation Ltd. and holds 2 patents.
Latest Patents
One of Werys’s latest patents, “Method and Apparatus for Quality Prediction,” describes a way to select an operation for further data analysis by comparing outputs from different operations. The method estimates each output’s accuracy using similarities between outputs and a relationship established from training data with known ground truth. It then selects the output with the highest predicted accuracy and the operation that produced it.
His other latest patent, “Validation of Quantitative Magnetic Resonance Imaging Protocols,” presents a quality-assurance technique for quantitative MRI methods. It compares magnetic-property measurements from a phantom, obtained using an accelerated and clinically practicable protocol, with predicted values based on reference T1 and T2 measurements. The prediction relies on relationships established through repeated scans of one or more phantoms.
Career Highlights
Werys’s patent work addresses two complementary challenges: assessing the reliability of data-analysis results and validating quantitative MRI protocols. These inventions apply prediction and comparison techniques to support the evaluation of outputs and measurements.
Collaborations
Werys is associated with Oxford University Innovation Ltd. His listed coworkers include Qiang Zhang and Iulia Andreia Popescu.
Conclusion
Konrad Werys’s patented inventions focus on improving confidence in data analysis and quantitative MRI through methods for predicting output accuracy and validating measurements.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
