Cleveland, OH, United States of America

Yazan Gharaibeh

This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Case Western Reserve University. Active years: 2021-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yazan Gharaibeh. Retrieved from https://idiyas.com/inventor/yazan-gharaibeh

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

USPTO Granted Patents = 2 

% Patents Active = 100.0

Average Co-Inventor Count = 5.5

ph-index = 1

Forward Citations = 4(Granted Patents)


Location History:

  • Cleveland, OH (US) (2021)
  • Shaker Heights, OH (US) (2023)

Company Filing History:


Years Active: 2021-2023

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2 patents (USPTO):Explore Patents

Title: Yazan Gharaibeh – Innovator in Vascular Imaging Technology

Introduction

Yazan Gharaibeh is an accomplished inventor based in Cleveland, OH, who has made significant contributions to the field of vascular imaging technology. With two patents to his name, Gharaibeh is at the forefront of utilizing advanced algorithms to enhance medical imaging and decision-making processes.

Latest Patents

Yazan's latest patents focus on innovative methodologies for analyzing vascular imaging data. The first patent, titled "Plaque segmentation in intravascular optical coherence tomography (OCT) images using deep learning," details a comprehensive approach for segmenting vascular plaque. This process involves training a deep learning model to analyze a volume of interest within vascular imaging data, ultimately aiding in clinical decision-making based on the segmented images. The embodiment discusses how pre-processing enhances vascular imaging data before being fed to the deep learning model, providing segmented outputs for both the lumen and the vascular plaque.

Another notable patent is the "Assessment of arterial calcifications," which classifies vascular plaque through a systematic approach. This patent outlines a method where vascular imaging data is accessed slice by slice, and for each A-line, multiple features are extracted. These features are then classified to determine whether an A-line is fibrocalcific, fibrolipidic, or categorized as other types. This innovative classification method enhances the understanding and assessment of arterial health.

Career Highlights

Yazan Gharaibeh's professional journey includes a position at Case Western Reserve University, where he applies his expertise in medical imaging and deep learning. His work not only contributes to academic knowledge but also impacts clinical practices in the evaluation of vascular diseases.

Collaborations

Throughout his career, Yazan has collaborated with prominent colleagues, including David L. Wilson and David Prabhu. Together, they push the boundaries of technology in healthcare, focusing on the practical applications of their research to improve patient outcomes.

Conclusion

Yazan Gharaibeh exemplifies the spirit of innovation in the field of vascular imaging. Through his patented inventions and collaborative efforts at Case Western Reserve University, he is making a meaningful impact in the medical community, helping to advance the technology that supports clinical decision-making for vascular health.

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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