Nahum Kiryati

Title: Nahum Kiryati: Innovator in Multi-Modal Image Segmentation

Introduction

Nahum Kiryati is a prominent inventor based in Tel Aviv, Israel. He has made significant contributions to the field of image processing, particularly in the segmentation of multi-modal image data. With a total of 5 patents to his name, Kiryati's work has advanced the capabilities of medical imaging technologies.

Latest Patents

Kiryati's latest patents focus on systems and methods for the automatic segmentation of three-dimensional (3D) anatomical regions of interest (ROI). These patents describe a computer-implemented method that involves receiving 3D images of a target individual, each based on different imaging modalities. In one implementation, each 3D image is processed by a multi-modal neural network, which computes intermediate outputs that are then used to determine the segmented 3D ROIs. Another implementation utilizes an encoding-contracting component to achieve similar results, showcasing Kiryati's innovative approach to enhancing image analysis.

Career Highlights

Throughout his career, Kiryati has worked with notable organizations, including Ramot at Tel Aviv University Ltd. and Tel Hashomer Medical Research Infrastructure and Services Ltd. His experience in these institutions has allowed him to collaborate on cutting-edge research and development projects in the medical imaging sector.

Collaborations

Kiryati has collaborated with esteemed colleagues such as Eli Konen and Arnaldo Mayer. These partnerships have contributed to the advancement of his research and the successful development of his patented technologies.

Conclusion

Nahum Kiryati's contributions to the field of multi-modal image segmentation have established him as a key figure in medical imaging innovation. His patents and collaborations reflect his commitment to advancing technology in this critical area.