Paris, France

Faycal El Hanchi El Amrani

USPTO Granted Patents = 3 

Average Co-Inventor Count = 4.5

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2021-2025

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3 patents (USPTO):Explore Patents

Title: Faycal El Hanchi El Amrani: Innovator in Medical Imaging Technologies

Introduction

Faycal El Hanchi El Amrani is a prominent inventor based in Paris, France. He has made significant contributions to the field of medical imaging, particularly in the development of systems and techniques that enhance image annotation and analysis. With a total of 3 patents, his work is paving the way for advancements in healthcare technology.

Latest Patents

One of his latest patents is titled "Ease of image annotation via curved planar reformation." This innovation provides systems and techniques that facilitate improved ease of image annotation by straightening images of tubular anatomical structures. The system generates a series of images that allow for the insertion of annotations, ultimately depicting both the original and annotated versions of the anatomical structure.

Another notable patent is focused on "Systems and methods for multi-label segmentation of cardiac computed tomography and angiography images using deep neural networks." This method involves detecting coronary lesions in 3D cardiac computed tomography and angiography images. By utilizing deep neural networks, the system maps 3D images to a multi-label segmentation map, enabling the detection and severity assessment of lesions in the coronary tree.

Career Highlights

Faycal El Hanchi El Amrani is currently employed at GE Precision Healthcare LLC, where he continues to innovate in the field of medical imaging. His work is instrumental in improving diagnostic techniques and patient outcomes.

Collaborations

He collaborates with notable colleagues, including Mario Viti and Nicolas Gogin, who contribute to the advancement of his projects and research initiatives.

Conclusion

Faycal El Hanchi El Amrani is a key figure in the realm of medical imaging technology, with a focus on enhancing image annotation and lesion detection. His patents reflect a commitment to improving healthcare through innovative solutions.

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