North Bethesda, MD, United States of America

Navid Shiee

This inventor holds 1 USPTO granted patent. Top assignees: Johns Hopkins University, The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc., The United States of America, as Represented by the Secretary, Department of Health and Human Services. Active years: 2018.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Navid Shiee. Retrieved from https://idiyas.com/inventor/navid-shiee-yw978hj5

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 = 7.0

ph-index = 1


Company Filing History:


Years Active: 2018

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Navid Shiee: Revolutionizing MRI Data Analysis

Introduction

Navid Shiee, an accomplished inventor based in North Bethesda, MD, has made significant strides in the field of medical imaging. With a focus on the analysis of multi-sequence MRI data, his innovations contribute to the understanding of brain abnormalities, showcasing his commitment to improving healthcare through technology.

Latest Patents

Navid Shiee holds one patent that exemplifies his innovative approach: the "Method of analyzing multi-sequence MRI data for analyzing brain abnormalities in a subject." This invention, known as Oasis, or Automated Statistical Inference for Segmentation (OASIS), introduces a fully automated and robust statistical method for cross-sectional multiple sclerosis lesion segmentation. By leveraging intensity information from various MRI modalities, the OASIS model employs a logistic regression framework to assign voxel-level probabilities of lesion presence. Notably, OASIS generates interpretable results in the form of regression coefficients, facilitating quick and easy application to imaging studies. Furthermore, it accounts for intensity-normalized brain MRI volumes, providing robustness against changes in scanner and acquisition sequences. This method also effectively adjusts for intensity inhomogeneities that some preprocessing options fail to correct, thereby enhancing the accuracy of brain area segmentation, especially in regions like the cerebellum that may suffer distortion.

Career Highlights

Navid has collaborated with prestigious institutions throughout his career. He has worked at The Johns Hopkins University, a leading research university known for its advancements in health and medicine, as well as the Henry M. Jackson Foundation for the Advancement of Military Medicine Inc., which focuses on research and development for military health. These roles have positioned him at the forefront of medical and scientific innovation.

Collaborations

Throughout his career, Navid Shiee has had the privilege of working alongside distinguished colleagues, including Ciprian Crainiceanu and Arthur Jeffrey Goldsmith. Their collaboration has likely enriched the research and development process, fostering an environment of shared expertise and innovation.

Conclusion

Navid Shiee's contributions to the field of MRI data analysis illustrate the power of innovation in enhancing medical practices. His efforts in developing the OASIS model not only reflect his expertise as an inventor but also his dedication to advancing healthcare through technology. As he continues to collaborate with leading institutions and professionals in the field, the impact of his work is set to grow, paving the way for more precise and effective medical diagnostics.

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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