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Ayman Sabry El-Baz

Louisville, KY, United States of America

Ayman Sabry El-Baz

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This inventor holds 26 USPTO granted patents and 4 published patent applications and 2 EPO patents, primarily in Medical Imaging. Top assignees: University Of Louisville Research Foundation, Inc., Fundacion Deusto, Universidad De Deusto. Active years: 2011-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ayman Sabry El-Baz. Retrieved from https://idiyas.com/inventor/ayman-sabry-el-baz

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

USPTO Granted Patents = 26 

% Patents Active = 96.2

 

Average Co-Inventor Count = 3.2

ph-index = 4

Forward Citations = 57(Granted Patents)


Company Filing History:

goldMedal24 out of 398 
 
University Of Louisville Research Foundation, Inc.
 patents
silverMedal1 out of 1 
 
Fundacion Deusto
 patent
bronzeMedal1 out of 1 
 
Universidad De Deusto
 patent
4. 1 out of 1,628 
 
University of Massachusetts
 patents
5. 1 out of 4 
 
Zayed University
 patents
6. 1 out of 834,513 
Other
 patents
where one patent can have more than one assignee

Years Active: 2011-2026

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Areas of Expertise:
Medical Imaging
Pulmonary Function
Retinal Pathology
Spinal Cord Mapping
Image Segmentation
Computer-Aided Diagnosis
MRI Techniques
Optical Coherence Tomography
Radiation Injury Assessment
Ventricular Assist Devices
Pressure Ulcer Monitoring
Cognitive Impairment Diagnosis
26 patents (USPTO):Explore Patents
1. 12558018 - Methods of detecting and mapping spinal cord epidurally-evoked potentials (2026-02-24),
2. 12512222 - Assessment of pulmonary function in coronavirus patients (2025-12-30),
3. 12430901 - Systems and methods for digital transformation of medical images and fibrosis detection (2025-09-30),
4. 12217432 - Assessment of pulmonary function in coronavirus patients (2025-02-04),
5. 12078705 - Automated segmentation of tissue in magnetic resonance imaging (2024-09-03),
6. 11875892 - Segmentation of medical images (2024-01-16),
7. 11727561 - Automated methods for the objective quantification of retinal characteristics by retinal region and diagnosis of retinal pathology (2023-08-15),
8. 11675039 - Automated segmentation of tissue in magnetic resonance imaging (2023-06-13),
9. 11534064 - Segmentation of retinal blood vessels in optical coherence tomography angiography images (2022-12-27),
10. 11495327 - Computer-aided diagnostic system for early diagnosis of prostate cancer (2022-11-08),
11. 11481905 - Atlas for automatic segmentation of retina layers from OCT images (2022-10-25),
12. 11420040 - Methods, system, and computer readable media for a rotational speed-based control system for ventricular assist devices (2022-08-23),
13. 11238975 - Computer aided diagnosis system for classifying kidneys (2022-02-01),
14. 11234635 - Method and system for monitoring and evaluation of pressure ulcer severity (2022-02-01),
15. 11151717 - Computer aided diagnosis system for mild cognitive impairment (2021-10-19),

Title: The Innovative Journey of Ayman Sabry El-Baz

Introduction:

Ayman Sabry El-Baz is a prolific inventor based in Louisville, Kentucky, with a remarkable portfolio of 21 patents. His groundbreaking work in medical imaging has revolutionized the field, particularly in the segmentation of medical images and the quantification of retinal characteristics.

Latest Patents:

1. Segmentation of Medical Images: Ayman Sabry El-Baz's latest patent involves cutting-edge methods for segmenting medical images using a deep 3D convolutional neural network. By integrating various quantitative image descriptors, such as Gibbs energy and adaptive shape prior models, the neural network produces voxel-wise probabilities of the goal regions with unprecedented accuracy.

2. Automated Methods for Retinal Characteristic Quantification: Another innovative patent by Ayman Sabry El-Baz focuses on automating the quantification of retinal characteristics through optical coherence tomography. By segmenting retinal images and normalizing the characteristic values, this method enables the objective diagnosis of ocular pathology and monitoring of ocular disease therapies.

Career Highlights:

Ayman Sabry El-Baz has made significant contributions during his tenure at the University of Louisville Research Foundation, Inc., where his research has propelled advancements in the field of medical imaging. Additionally, his collaboration with Fundacion Deusto has led to pioneering developments in healthcare technology.

Collaborations:

Throughout his career, Ayman Sabry El-Baz has collaborated closely with esteemed colleagues such as Ahmed Soliman and Fahmi Khalifa. Together, they have shared expertise and worked tirelessly to push the boundaries of innovation in medical imaging and ophthalmology.

Conclusion:

In conclusion, Ayman Sabry El-Baz's innovative spirit and dedication to advancing medical imaging technology have cemented his reputation as a leading figure in the field. His patents and collaborations underscore his commitment to revolutionizing healthcare and improving patient outcomes.

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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