This inventor holds 1 USPTO granted patent. Top assignee: Faro Technologies, Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Innovations by Vivek Vrujlal Vekariya
Introduction
Vivek Vrujlal Vekariya is an accomplished inventor based in Stuttgart, Germany. He has made significant contributions to the field of computed tomography through his innovative patent. His work exemplifies the intersection of technology and healthcare, showcasing the potential of machine learning in medical imaging.
Latest Patents
Vivek holds a patent titled "Segmentation of computed tomography voxel data using machine learning." This patent describes a method that includes creating two-dimensional (2D) slices from a plurality of computed tomography (CT) voxel data sets. The method further includes adding artificial noise to the 2D slices to generate artificially noisy 2D slices. Additionally, it involves creating patches from the 2D slices and the artificially noisy 2D slices, followed by training an autoencoder using these patches. This innovative approach enhances the accuracy and efficiency of CT imaging.
Career Highlights
Vivek is currently employed at Faro Technologies, Inc., where he continues to develop cutting-edge technologies in the field of imaging and measurement. His expertise in machine learning and data analysis has positioned him as a valuable asset to his team and the company.
Collaborations
Some of Vivek's notable coworkers include Ariane Stiebeiner and Georgios Balatzis. Their collaborative efforts contribute to the advancement of technology within their organization.
Conclusion
Vivek Vrujlal Vekariya's contributions to the field of computed tomography through his innovative patent demonstrate the power of machine learning in enhancing medical imaging. His work not only reflects his expertise but also the potential for future advancements in healthcare technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
