Louisville, KY, United States of America

Ahmed Eltanboly


Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:

goldMedal1 out of 832,680 
Other
 patents

Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Innovations in Medical Imaging: The Contributions of Ahmed Eltanboly

Introduction

Ahmed Eltanboly is an innovative inventor based in Louisville, KY (US). He has made significant contributions to the field of medical imaging, particularly in the segmentation of retina layers from Optical Coherence Tomography (OCT) images. His work is crucial for enhancing the accuracy of medical diagnoses and treatments.

Latest Patents

Ahmed Eltanboly holds a patent for a method titled "Atlas for automatic segmentation of retina layers from OCT images." This innovative approach utilizes an adaptive patient-specific atlas and an appearance model for 3-D OCT data. The method begins with the segmentation of a 2-D slice of the 3-D image that contains the macula mid-area. A 2-D shape prior is constructed using a series of co-aligned training OCT images. This shape prior is then adapted to the first-order appearance and second-order spatial interaction MGRF model of the image data. The process iterates until the complete 3-D medical image is segmented, allowing for precise identification of retinal layers.

Career Highlights

Throughout his career, Ahmed Eltanboly has focused on advancing medical imaging technologies. His innovative methods have the potential to improve patient outcomes by providing more accurate imaging results. His dedication to research and development in this field has established him as a notable figure among inventors.

Collaborations

Ahmed has collaborated with esteemed colleagues, including Ayman Sabry El-Baz and Ahmed Soliman. These partnerships have fostered a collaborative environment that encourages the exchange of ideas and advancements in medical imaging technology.

Conclusion

Ahmed Eltanboly's contributions to the field of medical imaging, particularly through his patented methods, highlight the importance of innovation in healthcare. His work not only enhances the understanding of retinal structures but also paves the way for future advancements in medical diagnostics.

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