Plainsboro, NJ, United States of America

Noha Youssry El-Zehiry

This inventor holds 23 USPTO granted patents and 1 published patent application and 6 EPO patents, primarily in Digital Holographic Microscopy. Top assignees: Siemens Healthcare Gmbh, Siemens Healthcare Diagnostics Gmbh, Siemens Aktiengesellschaft. Active years: 2013-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Noha Youssry El-Zehiry. Retrieved from https://idiyas.com/inventor/noha-youssry-el-zehiry

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

Calculating rank
USPTO Granted Patents = 23 

% Patents Active = 95.7

 

Average Co-Inventor Count = 3.7

ph-index = 4

Forward Citations = 43(Granted Patents)


Company Filing History:


Years Active: 2013-2026

Loading Chart...
Loading Chart...
Areas of Expertise:
Deep Learning
Digital Holographic Microscopy
Image Segmentation
Virtual Staining
Convolutional Neural Networks
Medical Imaging
Hematology Applications
Biopsy-Free Detection
Image Navigation
Boundary Segmentation
Image Denoising
Preoperative Planning
23 patents (USPTO):Explore Patents

Title: Noha Youssry El-Zehiry: Innovator in Medical Imaging Technology

Introduction

Noha Youssry El-Zehiry is a prominent inventor based in Plainsboro, NJ, with an impressive portfolio of 20 patents. Her contributions to medical imaging technology exemplify her commitment to advancing the field. With a focus on innovative methods that improve image processing, El-Zehiry has established herself as a key figure in her industry.

Latest Patents

Among her latest patents, El-Zehiry has developed a "Method of computing a boundary." This innovation pertains to determining an area of interest within a set of images. Utilizing a convolutional neural network (CNN), the method involves predicting an inverse distance map to derive actual boundaries. El-Zehiry's work also includes a method for training CNNs to enhance boundary determination processes, showcasing her deep understanding of both imaging and machine learning technologies.

Another significant patent is related to "Identifying the quality of cell images acquired with digital holographic microscopy using convolutional neural networks." In this innovation, a microscopy device captures images of cells, and a system is used to perform adaptive focusing. The method intelligently processes the images, utilizing classifiers to assess image quality and make focal length adjustments. This is achieved through machine learning techniques, highlighting her innovative approach to solving complex imaging challenges.

Career Highlights

Noha Youssry El-Zehiry has made significant contributions while working at notable companies such as Siemens Healthcare GmbH and Siemens Healthcare Diagnostics GmbH. Her tenure at these institutions allowed her to further develop her skills and contribute to groundbreaking projects in medical technology, particularly in imaging solutions.

Collaborations

Throughout her career, El-Zehiry has collaborated with esteemed colleagues, including Ali Kamen and Bogdan Georgescu. These partnerships have facilitated the sharing of ideas and fostered innovation, enabling them to push the boundaries of what is possible in their field.

Conclusion

Noha Youssry El-Zehiry’s contributions to medical imaging technology and her impressive array of patents underscore her status as an innovative leader. Her work not only advances technical capabilities but also improves the quality and accuracy of medical imaging processes, ultimately benefiting healthcare professionals and patients alike.

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]
Loading…