Montréal, Canada

François Destrempes


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2013-2019

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2 patents (USPTO):Explore Patents

Title: François Destrempes: Innovator in Image Segmentation Technology

Introduction

François Destrempes is a notable inventor based in Montréal, Canada. He has made significant contributions to the field of image processing, particularly in the area of image segmentation. With a total of 2 patents to his name, Destrempes has developed innovative methods that enhance the efficiency and accuracy of image analysis.

Latest Patents

Destrempes' latest patents include a semi-automated image segmentation system and method. This invention allows for a pre-initialization image analysis of image data using an image analysis algorithm to generate a modified image. The modified image can then be presented on a display, where user input can be utilized to perform an initialization. The segmentation algorithm evaluates this user input to produce a segmented image for display. Another patent focuses on a method for segmenting an image by determining an initial estimation of a boundary between components in an image. This method involves modeling image data on a mixture of statistical distributions and optimizing the boundary estimation based on the parameters and weights of these distributions.

Career Highlights

Throughout his career, François Destrempes has worked with various companies, including Val-chum Limited Partnership and Acist Medical Systems, Inc. His experience in these organizations has contributed to his expertise in image processing technologies.

Collaborations

Destrempes has collaborated with notable professionals in his field, including Guy Cloutier and Marie-Hélène Roy Cardinal. These collaborations have further enriched his work and innovations in image segmentation.

Conclusion

François Destrempes stands out as an influential inventor in the realm of image segmentation technology. His patents reflect a commitment to advancing image analysis methods, making significant strides in the field.

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