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For the Inventor, By the Inventor

Princeton, NJ, United States of America

Hien Nguyen

USPTO Granted Patents = 15

 

Average Co-Inventor Count = 3.6

ph-index = 8

Forward Citations = 429(Granted Patents)


Location History:

  • Princeton, NJ (US) (2017)
  • Bensalem, PA (US) (2017 - 2018)
  • Pittsburgh, PA (US) (2018 - 2019)
  • Houston, TX (US) (2012 - 2021)

Company Filing History:

goldMedal14 out of 2,339 
 
Siemens Healthcare Gmbh
 patents
where one patent can have more than one assignee

Years Active: 2012-2021

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15 patents (USPTO):Explore Patents
1. 10888234 - Method and system for machine learning based assessment of fractional flow reserve (2021-01-12),
2. 10467495 - Method and system for landmark detection in medical images using deep neural networks (2019-11-05),
3. 10410093 - Medical pattern classification using non-linear and nonnegative sparse representations (2019-09-10),
4. 10258244 - Method and system for machine learning based assessment of fractional flow reserve (2019-04-16),
5. 9974454 - Method and system for machine learning based assessment of fractional flow reserve (2018-05-22),
6. 9892361 - Method and system for cross-domain synthesis of medical images using contextual deep network (2018-02-13),
7. 9767385 - Multi-layer aggregation for object detection (2017-09-19),
8. 9730643 - Method and system for anatomical object detection using marginal space deep neural networks (2017-08-15),
9. 9700219 - Method and system for machine learning based assessment of fractional flow reserve (2017-07-11),
10. 9668699 - Method and system for anatomical object detection using marginal space deep neural networks (2017-06-06),
11. 9633306 - Method and system for approximating deep neural networks for anatomical object detection (2017-04-25),
12. 9595120 - Method and system for medical image synthesis across image domain or modality using iterative sparse representation propagation (2017-03-14),
13. 9582916 - Method and system for unsupervised cross-modal medical image synthesis (2017-02-28),
14. 9538925 - Method and system for machine learning based assessment of fractional flow reserve (2017-01-10),
15. D667611 - Open back cap (2012-09-25),

Title: **Innovative Contributions of Hien Nguyen in Medical Imaging and Machine Learning**

Introduction

Hien Nguyen, an accomplished inventor based in Princeton, NJ, is known for her significant contributions to the fields of medical imaging and machine learning. With a portfolio of 15 patents, her work is bridging the gap between technology and healthcare, providing innovative solutions that elevate patient care and diagnostic accuracy.

Latest Patents

Hien's latest patents include groundbreaking methodologies for the assessment of fractional flow reserve (FFR) and anatomical landmark detection using advanced deep learning techniques. One notable patent details a system where medical image data, including stenosis, is received to extract a set of features. The extracted features are then used in conjunction with a machine-learning-based mapping to determine the FFR value, offering a revolutionary approach in evaluating coronary artery stenosis in patients.

Another remarkable patent describes a method for detecting anatomical landmarks in medical images. This invention incorporates a trained deep neural network, which processes a subset of voxels within various image patches. The trained network identifies the location of target landmarks efficiently, enhancing accuracy in medical imaging diagnostics.

Career Highlights

Hien Nguyen is currently associated with Siemens Healthcare GmbH, where she applies her expertise to develop cutting-edge technologies that influence modern medicine. Her passion for innovation is evident in her extensive patent portfolio, showcasing her commitment to advancing healthcare with innovative inventions.

Collaborations

Throughout her career, Hien has collaborated with talented individuals in her field, including esteemed colleagues Bogdan Georgescu and Dorin Comaniciu. Together, they work on transformative projects that enhance diagnostic capabilities and streamline healthcare processes.

Conclusion

In summary, Hien Nguyen stands out as a visionary inventor at the forefront of healthcare technology. Her remarkable contributions underscore the potential of machine learning and medical imaging strategies in transforming patient assessments. As her innovative journey continues, the impact of her inventions will undoubtedly resonate throughout the healthcare domain, paving the way for future advancements.

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