Xinrui Song

Title: Innovations of Xinrui Song in Multi-Modal Image Registration

Introduction

Xinrui Song is an accomplished inventor based in Troy, NY (US). He has made significant contributions to the field of image processing, particularly in multi-modal image registration. His innovative approach has the potential to enhance various applications in medical imaging and computer vision.

Latest Patents

Xinrui Song holds a patent for "Systems and methods for multi-modal multi-dimensional image registration." This patent describes a method that includes receiving a fixed image from a first imaging device and a moving image from a second imaging device. The process involves performing feature extraction on both images to generate feature maps, applying cross-modal attention to these maps, and executing deep registration to produce a multi-modal registered image. This innovative method aims to improve the accuracy and efficiency of image registration across different modalities.

Career Highlights

Xinrui Song is affiliated with Rensselaer Polytechnic Institute, where he continues to advance his research in image processing technologies. His work has garnered attention for its practical applications and contributions to the scientific community. With 1 patent to his name, he is recognized for his expertise in the field.

Collaborations

Throughout his career, Xinrui has collaborated with notable colleagues, including Pingkun Yan and Hengtao Guo. These partnerships have fostered a collaborative environment that encourages innovation and the sharing of ideas.

Conclusion

Xinrui Song's contributions to multi-modal image registration exemplify the impact of innovative thinking in technology. His work not only advances the field but also opens new avenues for research and application in image processing.