Princeton Junction, NJ, United States of America

Dorin Comaniciu

USPTO Granted Patents = 352 

 

 

Average Co-Inventor Count = 4.7

ph-index = 42

Forward Citations = 5,460(Granted Patents)

Forward Citations (Not Self Cited) = 5,174(Dec 10, 2025)


Inventors with similar research interests:


Location History:

  • Highland Park, NJ (US) (2004 - 2006)
  • Piscataway, NJ (US) (2003 - 2011)
  • Princeton Jct., NJ (US) (2006 - 2011)
  • Princton Junction, NJ (US) (2017)
  • Monmouth Junction, NJ (US) (2019)
  • Princeton, NJ (US) (2005 - 2024)
  • Princeton Junction, NJ (US) (2007 - 2024)

Company Filing History:

goldMedal127 out of 2,339 
 
Siemens Healthcare Gmbh
 patents
silverMedal93 out of 30,052 
 
Siemens Aktiengesellschaft
 patents
bronzeMedal74 out of 2,079 
 
Siemens Medical Solutions Usa, Inc.
 patents
430 out of 418 
 
Siemens Corporation
 patents
524 out of 370 
 
Siemens Corporate Research, Inc.
 patents
619 out of 558 
 
Siemens Healthineers Ag
 patents
72 out of 66 
 
Siemens Ag Osterreich
 patents
81 out of 1 
 
Siemesn Corporate Research, Inc.
 patent
91 out of 44 
 
Siemens Vdo Automotive Ag
 patents
101 out of 7 
 
Inria
 patents
111 out of 13 
 
Siemens Akteingesellschaft
 patents
121 out of 1,457 
 
Rutgers, the State University of New Jersey
 patents
131 out of 132 
 
Technische Universitat Munchen
 patents
141 out of 1,327 
 
Yale University
 patents
151 out of 23 
 
Institut National De Recherche En Informatique Et En Automatique
 patents
161 out of 177 
 
Stevens Institute of Technology
 patents
171 out of 1,336 
 
Siemens Energy, Inc.
 patents
181 out of 3,539 
 
The United States of America, As Represented by the Secretary, Department of Health and Human Services
 patents
191 out of 213 
 
Siemens Canada Limited
 patents
203 out of 832,891 
Other
 patents
where one patent can have more than one assignee

Years Active: 2003-2025

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Areas of Expertise:
Medical Imaging
Machine Learning
Artificial Intelligence
Echocardiography
3D-2D Gans
Image Registration
Covid-19 Assessment
Magnetic Resonance Imaging
Abnormality Detection
Surgical Guidance
Patient Management
Deep Learning
352 patents (USPTO):Explore Patents

Title: Development of Innovative Algorithms for Medical Image Analysis by Dorin Comaniciu

Introduction:

In the field of medical image analysis, the development of innovative algorithms plays a vital role in improving diagnosis accuracy and patient care. Among the pioneers in this domain is Dorin Comaniciu, a visionary researcher based in Princeton Junction, NJ, who has made significant contributions to the advancements in medical imaging technologies. With a remarkable track record and an impressive number of patents to his name, Comaniciu's work has revolutionized the way medical images are analyzed and interpreted.

Latest Patents:

Comaniciu's latest patents include the "Method and System for Image Registration Using an Intelligent Artificial Agent" and "Assessment of Abnormality Patterns Associated with COVID-19 from X-ray Images."

The first patent introduces a novel approach to image registration using an intelligent artificial agent. This method leverages a machine learning-based model, such as a trained deep neural network, to determine the current state observation and calculate action-values for available adjustments. By repetitively selecting the action with the highest value, the medical images are dynamically registered, resulting in more accurate diagnoses.

The second patent focuses on the assessment of abnormality patterns associated with COVID-19 from X-ray images. By utilizing trained lung segmentation and abnormality pattern segmentation networks, Comaniciu's algorithm effectively identifies and assesses disease-related anomalies. This innovation has proven crucial in the fight against COVID-19, aiding in early detection and monitoring.

Career Highlights:

With an impressive record of 326 patents, Comaniciu's career highlights his impact and dedication to innovation. His commitment to advancing medical image analysis has led to several breakthroughs, enabling healthcare professionals around the world to make more accurate diagnoses and improve patient outcomes. Comaniciu's work has been instrumental in bridging the gap between computer science and medicine, revolutionizing the way medical images are analyzed.

Collaborations:

Throughout his career, Comaniciu has collaborated with renowned companies in the medical imaging sector, including Siemens Healthineers and Siemens AG. These collaborations have provided him with a platform to further refine his algorithms and translate his innovations into real-world applications. Additionally, Comaniciu has worked alongside accomplished researchers such as Bogdan Georgescu and Yefeng Zheng, leveraging their expertise to push the boundaries of medical image analysis.

Conclusion:

Dorin Comaniciu's groundbreaking contributions to the development of innovative algorithms for medical image analysis have significantly advanced the field of healthcare. Through his patented inventions, he has transformed the way medical images are processed, enabling more accurate diagnoses and personalized treatments. Comaniciu's collaborations with industry-leading companies and notable researchers showcase his commitment to driving innovation and improving patient care. His work continues to shape the future of medical imaging, promising further advancements in the field.

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