Maxim Fradkin

This inventor holds 11 USPTO granted patents. Top assignees: Koninklijke Philips Corporation N.v., Koninklijke Electronics N.v.. Active years: 2007-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Maxim Fradkin. Retrieved from https://idiyas.com/inventor/maxim-fradkin

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

USPTO Granted Patents = 11

% Patents Active = 72.7

Average Co-Inventor Count = 3.3

ph-index = 4

Forward Citations = 54(Granted Patents)

Location History:

Puteaux, FR (2013)
Paris, FR (2007 - 2014)

Company Filing History:

10 out of 21,885

Koninklijke Philips Corporation N.v.

patents

1 out of 6

Koninklijke Electronics N.v.

patents

Years Active: 2007-2025

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11 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12340464 - Rendering of two dimensional data sets (2025-06-24),

2. 12327351 - Medical imaging systems, devices, and methods for visualizing a deployment state of an intracorporeal therapeutic device (2025-06-10),

3. 8922552 - Image processing method for automatic adaptation of 3-D deformable model onto a substantially tubular surface of a 3-D object (2014-12-30),

4. 8509506 - Automatic 3-D segmentation of the short-axis late-enhancement cardiac MRI (2013-08-13),

5. 8463008 - Segmentation of the long-axis late-enhancement cardiac MRI (2013-06-11),

6. 8437579 - Image processing system for automatic adaptation of a 3-D mesh model onto a 3-D surface of an object (2013-05-07),

7. 7970193 - Image processing system for displaying information relating to parameters of a 3-D tubular object (2011-06-28),

8. 7668349 - Three-dimensional segmentation using deformable surfaces (2010-02-23),

9. 7450749 - Image processing method for interacting with a 3-D surface represented in a 3-D image (2008-11-11),

10. 7440609 - Method of segmenting a three-dimensional structure (2008-10-21),

11. 7286693 - Medical viewing system and image processing method for visualization of folded anatomical portions of object surfaces (2007-10-23),

Title: Maxim Fradkin: A Pioneer in Innovation and Image Processing

Introduction:

Maxim Fradkin, a renowned inventor based in Paris, FR, is a true trailblazer in the realm of innovation. With a total of 9 patents to his name, Fradkin's work focuses on cutting-edge image processing methods that push the boundaries of technology.

Latest Patents:

1. Image Processing Method for Automatic Adaptation of 3-D Deformable Model onto a Substantially Tubular Surface of a 3-D Object: This patent showcases Fradkin's expertise in creating a deformable cylindrical mesh model that adapts to tubular surfaces, without self-intersections or sharp radius changes.

2. Automatic 3-D Segmentation of the Short-Axis Late-Enhancement Cardiac MRI: Fradkin's invention revolutionizes the delineation of anatomical structures in cardiac MRI images, optimizing the treatment of scar tissues in the myocardium.

Career Highlights:

Throughout his career, Fradkin has worked with prestigious companies such as Philips, where he contributed significantly to the field of image processing. His innovative solutions have reshaped the way we approach medical imaging and technology.

Collaborations:

Fradkin's collaborations with esteemed colleagues like Jean-Michel Rouet and Shérif Makram-Ebeid have led to groundbreaking advancements in the field of image processing. Together, they have paved the way for innovative solutions that improve patient care and diagnosis.

Conclusion:

In conclusion, Maxim Fradkin's relentless pursuit of innovation and his dedication to pushing the boundaries of what is possible make him a true pioneer in the world of inventions. His work continues to inspire and shape the future of technology, leaving a lasting legacy for generations to come.

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]