Michael Grass

Title: Michael Grass - Innovator in Deep Learning and Stenosis Assessment

Introduction

Michael Grass is a notable inventor based in Buchholz in der Nordheide, Netherlands. He has made significant contributions to the fields of deep learning and medical imaging, holding two patents that showcase his innovative approach to technology.

Latest Patents

One of his latest patents is titled "Multi-task deep learning method for a neural network for automatic pathology detection." This invention involves a sophisticated process that includes receiving first and second image data for different image recognition tasks, determining labeled image data, and training a neural network to recognize pathologies in the respective image data. Another important patent is the "Apparatus for determining a functional index for stenosis assessment." This apparatus is designed to assess the functional index of a vessel by analyzing its width and course based on two-dimensional image data.

Career Highlights

Michael Grass is currently employed at Koninklijke Philips Corporation N.V., a leading company in health technology. His work focuses on integrating advanced technologies into medical applications, enhancing diagnostic capabilities through innovative solutions.

Collaborations

He collaborates with talented coworkers, including Christian Haase and Bram Antonius Philomena Van Rens, contributing to a dynamic team that drives innovation in their field.

Conclusion

Michael Grass exemplifies the spirit of innovation through his patents and contributions to medical technology. His work continues to impact the fields of deep learning and pathology detection, showcasing the importance of advancements in healthcare.