Tübingen, Germany

Bernhard Schölkopf


 

Average Co-Inventor Count = 4.4

ph-index = 2

Forward Citations = 13(Granted Patents)


Company Filing History:


Years Active: 2012-2018

Loading Chart...
Loading Chart...
2 patents (USPTO):Explore Patents

Title: Bernhard Schölkopf: Innovator in Image Processing and Machine Learning

Introduction

Bernhard Schölkopf is a prominent inventor known for his contributions to the fields of image processing and machine learning. He is based in Tübingen, Germany, and has been instrumental in developing innovative methods that enhance digital imaging techniques. With a total of two patents to his name, Schölkopf's work has significant implications in various technological applications.

Latest Patents

Schölkopf's latest patents include a method and device for recovering a digital image from a sequence of observed digital images. This computer-implemented method involves obtaining an observed digital image, estimating a point spread function based on the observed image, and iteratively estimating the recovered digital image. This process is particularly useful for correcting optical aberrations of a lens. Another notable patent is a method for determining a property map of an object, especially a living being, based on at least a first image, such as a magnetic resonance image. This method utilizes a structure of reference pairs and employs machine learning to predict property values corresponding to arbitrary points in the first image.

Career Highlights

Throughout his career, Schölkopf has worked with esteemed institutions, including the Max Planck Society for the Advancement of Science and the Eberhard Karls University of Tübingen University Hospital. His research has significantly advanced the understanding and application of machine learning in imaging technologies.

Collaborations

Schölkopf has collaborated with notable colleagues, including Stefan Harmeling and Michael Hirsch. These partnerships have fostered innovative research and development in their respective fields.

Conclusion

Bernhard Schölkopf's contributions to image processing and machine learning have established him as a key figure in technological innovation. His patents reflect a commitment to advancing the capabilities of digital imaging, making a lasting impact on the industry.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…