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Redmond, WA, United States of America

Echonous, Inc.

USPTO Granted Patents = 30

% Expired Patents = 10.0

EPO Patents = 1

Trademarks = 4

Forward Citations = 101

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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 263 patents)

8. Brandon Cheung (4 out of 110 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)

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),

EchoNous, Inc. is a leading medical device company that specializes in developing advanced ultrasound technology. Their innovative AI-driven solutions enable clinicians to have a more accurate and efficient diagnostic process, ultimately improving patient care. EchoNous aims to revolutionize healthcare by combining deep learning algorithms with cutting-edge ultrasound hardware, paving the way for faster and more reliable diagnoses. Visit their website for more information on their groundbreaking products and solutions.

Profile summary based on public USPTO records.

Company Badge

USPTO Data Jan 1 1976 - Sep 29 2026

30 Patents

#28 in Redmond, WA

#246 in Washington

#11,249 in US

#21,840 in the World

Redmond, WA, United States of America

Echonous, Inc.

Forward Citations = 101

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)

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