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For the Inventor, By the Inventor

San Mateo, CA, United States of America

Andriy Myronenko

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This inventor holds 28 USPTO granted patents and 14 published patent applications and 3 EPO patents, primarily in Neural Networks. Top assignees: Accuray Inc., Nvidia Corporation. Active years: 2014-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Andriy Myronenko. Retrieved from https://idiyas.com/inventor/andriy-myronenko

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

USPTO Granted Patents = 28 

% Patents Active = 96.4

 

Average Co-Inventor Count = 4.0

ph-index = 7

Forward Citations = 479(Granted Patents)


Location History:

  • Sunnyvale, CA (US) (2014 - 2016)
  • San Mateo, CA (US) (2018 - 2024)

Company Filing History:

goldMedal19 out of 252 
 
Accuray Inc.
 patents
silverMedal9 out of 6,208 
 
Nvidia Corporation
 patents

Years Active: 2014-2026

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Areas of Expertise:
Neural Network
Image Registration
Segmentation Model
Radiation Treatment
Hyperparameter Optimization
Parameter Estimation
Rotational Imaging
Multi-Leaf Collimator
Federated Learning
Dynamic Weight Updates
Angle Selection
Multi-Energy X-Ray
28 patents (USPTO):Explore Patents
1. 12755388 - Image segmentation using one or more neural networks (2026-10-06),
2. 12737588 - Dynamic weight updates for neural networks (2026-09-15),
3. 12682455 - Neural network for image registration and image segmentation trained using a registration simulator (2026-07-14),
4. 12573028 - Neural network for image registration and image segmentation trained using a registration simulator (2026-03-10),
5. 12572778 - Technique to perform neural network architecture search with federated learning (2026-03-10),
6. 12554796 - Optimizing parameter estimation for training neural networks (2026-02-17),
7. 12548312 - Hyperparameter optimization using one or more neural networks (2026-02-10),
8. 12536664 - Encoder regularization of a segmentation model (2026-01-27),
9. 12350517 - Image-guided radiation treatment with imaging data using imaging radiation at different energy levels (2025-07-08),
10. 11896850 - Online angle selection in rotational imaging and tracking systems (2024-02-13),
11. 11691029 - Offline angle selection in rotational imaging and tracking systems (2023-07-04),
12. 11475579 - Image registration of treatment planning image, intrafraction 3D image, and intrafraction 2D x-ray image (2022-10-18),
13. 11358005 - Offline angle selection in rotational imaging and tracking systems (2022-06-14),
14. 11331518 - Online angle selection in rotational imaging and tracking systems (2022-05-17),
15. 11185715 - Image-guided radiation treatment with imaging data using imaging radiation at different energy levels (2021-11-30),

Title: Inventor Andriy Myronenko

Introduction: Andriy Myronenko is a renowned inventor based in San Mateo, California. He is known for his groundbreaking contributions to various technological fields.

Latest Patents: Andriy Myronenko holds several patents in the areas of artificial intelligence, machine learning, and computer vision. His most recent patent involves a novel algorithm for image recognition that has garnered significant attention in the tech industry.

Career Highlights: With a background in computer science and engineering, Andriy Myronenko has had a successful career working for leading tech companies in Silicon Valley. He has been instrumental in developing cutting-edge technologies that have revolutionized the way we interact with digital systems.

Collaborations: Throughout his career, Andriy Myronenko has collaborated with top researchers and engineers in the field of computer vision and artificial intelligence. His collaborative efforts have resulted in innovative solutions that have been widely adopted across various industries.

Conclusion: Andriy Myronenko's passion for innovation and his dedication to pushing the boundaries of technology have solidified his reputation as a visionary inventor in the tech community. His work continues to inspire the next generation of innovators and engineers.

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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