For the Inventor, By the Inventor

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Redmond, WA, United States of America

Echonous, Inc.

Calculating rank

USPTO Granted Patents = 30

% Expired Patents = 10.0

EPO Patents = 1

Trademarks = 4

Forward Citations = 102

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36 inventors (with patents filed for the assignee):

Greg Nieminen (10 out of 17 patents)

Nikolaos Pagoulatos (9 out of 19 patents)

Babajide Ayinde (9 out of 9 patents)

4. Ramachandra Pailoor (5 out of 10 patents)

5. Shelby Brunke (5 out of 6 patents)

6. Matthew Cook (5 out of 5 patents)

7. Christopher Loew (4 out of 264 patents)

8. Brandon Cheung (4 out of 112 patents)

9. Ron Broad (4 out of 4 patents)

10. Jeffrey Daniel Allison (4 out of 14 patents)

11. Allen Lu (4 out of 4 patents)

12. Kim Porter Henneman (4 out of 4 patents)

13. David J Schenone (4 out of 4 patents)

14. Terry Doherty (3 out of 3 patents)

15. Fan Zhang (3 out of 7 patents)

Core Competencies:

Ultrasound Imaging

Automated Recording

Anatomical Structure

Physiological Parameters

Image Recognition

Artificial Intelligence

Quality Scores

Medical Examination

Segmentation

Doppler Ultrasound

Mobile Viewing Tool

Gallium Nitride

30 patents: Sort by Forward Citations

1. 12731365 - Automatically reporting on an anatomical structure visualized in an ultrasound image that is selected by a user (2026-09-08),

2. 12396707 - Systems and methods for automated ultrasound image recording based on quality scores (2025-08-26),

3. 12290407 - System and method of monitoring a life-threating medical situation based on an ejection-fraction measurement (2025-05-06),

4. 12213840 - Automatically establishing measurement location controls for doppler ultrasound (2025-02-04),

5. 12144686 - Automatic depth selection for ultrasound imaging (2024-11-19),

6. 12144682 - Automation-assisted venous congestion assessment in point of care ultrasound (2024-11-19),

7. 12089988 - Systems and methods for automated physiological parameter estimation from ultrasound image sequences (2024-09-17),

8. 12062426 - Ultrasound image recognition systems and methods utilizing an artificial intelligence network (2024-08-13),

9. 11941503 - Performing inference using an adaptive, hybrid local/remote technique (2024-03-26),

10. 11847786 - Motion learning without labels (2023-12-19),

11. 11647992 - System and method for fusing ultrasound with additional signals (2023-05-16),

12. 11647977 - Device including ultrasound, auscultation, and ambient noise sensors (2023-05-16),

13. 11636593 - Robust segmentation through high-level image understanding (2023-04-25),

14. 11532084 - Gating machine learning predictions on medical ultrasound images via risk and uncertainty quantification (2022-12-20),

15. 11523801 - Automatically identifying anatomical structures in medical images in a manner that is sensitive to the particular view in which each image is captured (2022-12-13),

Company Overview

Echonous, Inc. is a technology company based in Redmond, WA, specializing in advanced ultrasound imaging solutions. The organization focuses on developing innovative medical devices that enhance diagnostic capabilities and improve patient outcomes. By leveraging cutting-edge technology, Echonous aims to transform the ultrasound experience for both healthcare providers and patients. Their research emphasizes user-friendly interfaces and integration with existing healthcare systems, positioning them as a leader in the medical imaging sector.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Nov 10 2026

30 Patents

#28 in Redmond, WA

#248 in Washington

#11,299 in US

#21,955 in the World

Redmond, WA, United States of America

Echonous, Inc.

Forward Citations = 102

36 inventors:

Greg Nieminen (10 out of 17 patents)

Nikolaos Pagoulatos (9 out of 19 patents)

Babajide Ayinde (9 out of 9 patents)

4. Ramachandra Pailoor (5 out of 10 patents)

5. Shelby Brunke (5 out of 6 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Echonous, Inc.. Retrieved from https://idiyas.com/company/echonous

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

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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