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7 out of 7 Years Active: 2019-2025
Areas of Expertise:
Title: Innovations by Qi Song in Medical Technology
Introduction: Qi Song is a notable inventor based in Seattle, Washington, with an impressive portfolio consisting of 51 patents. His work focuses on advancing medical technology, particularly methods for disease quantification and anatomical labeling in medical imaging.
Latest Patents: Qi Song's latest patents showcase his commitment to improving medical diagnostics.
1. **Method and System for Disease Quantification of Anatomical Structures**: This patent introduces a method for predicting disease quantification parameters for anatomical structures. The process involves extracting a centerline structure from medical images and employing a Graph Neural Network (GNN) to predict parameters at various sampling points along the centerline. By integrating local and global factors, this method aims to enhance prediction accuracy significantly.
2. **Method and System for Anatomical Labels Generation**: In this innovation, Qi has developed a system for automatically generating anatomical labels from medical images. Utilizing a deep learning network that incorporates various advanced techniques, including branched networks and probabilistic models, this method ensures high accuracy and reliability in labeling anatomical structures.
Career Highlights: Qi has made remarkable contributions during his tenure at Shenzhen Keya Medical Technology Corporation and Keya Medical Technology Co., Ltd. His work has not only advanced the field of medical imaging but also paved the way for more effective disease diagnosis and treatment methodologies.
Collaborations: Throughout his career, Qi has collaborated with esteemed colleagues including Youbing Yin and Junjie Bai. Their combined expertise enhances the innovative capabilities of their projects, leading to noteworthy advancements in medical technology.
Conclusion: Qi Song's contributions to medical technology are significant, with a strong focus on improving diagnostic methods through innovative patent developments. His latest work exemplifies the intersection of advanced technology and healthcare, promising better outcomes in disease detection and anatomical understanding.