Lawrenceville, NJ, United States of America

Mehmet Akif Gulsun

This inventor holds 40 USPTO granted patents and 14 published patent applications and 11 EPO patents, primarily in Medical Imaging Analysis. Top assignees: Siemens Healthcare Gmbh, Siemens Healthineers Ag, Siemens Aktiengesellschaft. Active years: 2010-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mehmet Akif Gulsun. Retrieved from https://idiyas.com/inventor/mehmet-akif-gulsun

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

Calculating rank
USPTO Granted Patents = 40 

% Patents Active = 85.0

 

Average Co-Inventor Count = 3.7

ph-index = 10

Forward Citations = 483(Granted Patents)


Location History:

  • Lawrenceville, NJ (US) (2010 - 2022)
  • Princeton, NJ (US) (2016 - 2024)

Company Filing History:


Years Active: 2010-2026

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Areas of Expertise:
Coronary Angiograms
Vessel Segmentation
AI-based Assessment
Medical Imaging
3D Reconstruction
Anatomical Structures
Risk Prediction
Image Segmentation
Vascular Disease
Radiomic Features
Machine Learning
Motion Correction
40 patents (USPTO):Explore Patents

Title: **Innovative Contributions of Mehmet Akif Gulsun in Medical Imaging Technology**

Introduction

Mehmet Akif Gulsun, a prominent inventor based in Lawrenceville, NJ, has made significant strides in the field of medical imaging technology. With 25 patents to his name, his work primarily focuses on enhancing the analysis and reconstruction of medical images for improved patient assessment.

Latest Patents

Among his latest innovations is a patent for **3D depth reconstruction of vessels in 2D medical images**, which involves systems and methods that allow for the reconstruction of three-dimensional representations of vessels from two-dimensional medical imaging. This invention includes generating a branch overlap image channel to reflect the probability of branch overlap and creating multiple branch orientation image channels. These innovations lead to the generation of a comprehensive multi-channel depth image that accurately represents various depths of the branches involved.

Another notable patent is the **multi-task learning framework for fully automated assessment of coronary artery disease**. This system utilizes machine learning to automate the assessment of vessels using input medical images. The method employs shared features from the images to perform various vessel assessment tasks, facilitating a more efficient diagnostic process.

Career Highlights

Throughout his career, Mehmet Akif Gulsun has collaborated with prestigious organizations such as Siemens Healthcare GmbH and Siemens Aktiengesellschaft. His work with these companies has played a crucial role in advancing healthcare technologies.

Collaborations

During his time in the industry, Gulsun has worked alongside skilled professionals, including Puneet Sharma and Yefeng Zheng. These collaborations have contributed to the development of innovative solutions in medical imaging and highlight the importance of teamwork in the advancement of technology.

Conclusion

Mehmet Akif Gulsun's contributions to medical imaging technology through his numerous patents illustrate his dedication to improving healthcare. His innovative approaches not only enhance the assessment of coronary artery diseases but also redefine the standards for medical imaging practices. With a focus on automation and accuracy, Gulsun continues to pave the way for future advancements in the field.

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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