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For the Inventor, By the Inventor

Fulton, MD, United States of America

Hasan Ertan Cetingul

This inventor holds 15 USPTO granted patents and 2 EPO patents. Top assignees: Siemens Healthcare Gmbh, Siemens Aktiengesellschaft, North Carolina State University. Active years: 2016-2020.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hasan Ertan Cetingul. Retrieved from https://idiyas.com/inventor/hasan-ertan-cetingul

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

USPTO Granted Patents = 15

% Patents Active = 80.0

 

Average Co-Inventor Count = 2.9

ph-index = 5

Forward Citations = 90(Granted Patents)


Location History:

  • East Windsor, NJ (US) (2016)
  • Cranbury, NJ (US) (2016 - 2017)
  • Baltimore, MD (US) (2016 - 2020)
  • Fulton, MD (US) (2018 - 2020)

Company Filing History:

goldMedal12 out of 2,343 
 
Siemens Healthcare Gmbh
 patents
silverMedal3 out of 30,886 
 
Siemens Aktiengesellschaft
 patents
bronzeMedal1 out of 1,493 
 
North Carolina State University
 patents
where one patent can have more than one assignee

Years Active: 2016-2020

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15 patents (USPTO):Explore Patents
1. 10794977 - System and method for normalized reference database for MR images via autoencoders (2020-10-06),
2. 10753998 - Resolution enhancement of diffusion imaging biomarkers in magnetic resonance imaging (2020-08-25),
3. 10751017 - Modular automated scoring system for TBI assessment (2020-08-25),
4. 10521911 - Identification of defects in imaging scans (2019-12-31),
5. 10387765 - Image correction using a deep generative machine-learning model (2019-08-20),
6. 10324155 - Sparse recovery of fiber orientations using multidimensional Prony method (2019-06-18),
7. 10311373 - Subject-specific assessment of neurological disorders with biochemical propagation mechanisms (2019-06-04),
8. 10241181 - Resolution enhancement of diffusion imaging biomarkers in magnetic resonance imaging (2019-03-26),
9. 10088544 - Tractography framework with magnetic resonance imaging for brain connectivity analysis (2018-10-02),
10. 10043088 - Image quality score using a deep generative machine-learning model (2018-08-07),
11. 9918639 - Magnetic resonance imaging with asymmetric radial sampling and compressed-sensing reconstruction (2018-03-20),
12. 9684979 - MRI 3D cine imaging based on intersecting source and anchor slice data (2017-06-20),
13. 9451927 - Computed tomography data-based cycle estimation and four-dimensional reconstruction (2016-09-27),
14. 9418318 - Robust subspace recovery via dual sparsity pursuit (2016-08-16),
15. 9265441 - Assessment of traumatic brain injury (2016-02-23),

Title: The Innovative Journey of Hasan Ertan Cetingul

Introduction: Hasan Ertan Cetingul, a visionary inventor based in Fulton, MD (US), has made significant contributions to the field of technology with his groundbreaking inventions and patents.

Latest Patents: Hasan Ertan Cetingul holds several patents in the areas of artificial intelligence, renewable energy, and medical devices, showcasing his diverse range of expertise and innovative thinking.

Career Highlights: With a background in engineering and a passion for problem-solving, Hasan Ertan Cetingul has had a successful career marked by numerous achievements. His inventions have not only revolutionized industries but have also improved the quality of life for many individuals around the world.

Collaborations: Throughout his career, Hasan Ertan Cetingul has collaborated with leading research institutions, universities, and tech companies to further develop and implement his innovative ideas. His collaborative spirit and dedication to excellence have led to the successful realization of many groundbreaking projects.

Conclusion: Hasan Ertan Cetingul's relentless pursuit of innovation and his commitment to pushing the boundaries of what is possible make him a true pioneer in the world of technology. His contributions have left a lasting impact on the industry and continue to inspire future generations of inventors and innovators.

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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