Ni Gao

Title: Innovations by Ni Gao in Brain Imaging Technology

Introduction

Ni Gao is an accomplished inventor based in Beijing, China. He has made significant contributions to the field of medical imaging, particularly in the analysis of brain nuclear magnetic resonance images. His innovative approach has the potential to enhance predictive modeling in neuroscience.

Latest Patents

Ni Gao holds a patent for a method titled "Method for establishing prediction model based on multidimensional texture of brain nuclear magnetic resonance images." This patent discloses a sophisticated technique for establishing a prediction model that utilizes multidimensional texture analysis of brain images. The method involves segmenting images using a region growing technique, applying a contourlet transform to extract edge texture features from regions of interest (ROIs), and creating a multidimensional database. Various data mining methods, including Gaussian processes, support vector machines, random forests, Lasso regression, and semi-supervised support vector machines, are employed to establish the prediction model. The ROIs specifically include the hippocampus and entorhinal cortex regions, which are critical in understanding brain functions.

Career Highlights

Ni Gao is affiliated with Capital Medical University, where he continues to advance his research and innovation in medical imaging. His work is pivotal in bridging the gap between technology and healthcare, providing tools that can lead to better diagnostic and predictive capabilities in neurology.

Collaborations

Some of his notable coworkers include Xiuhua Guo and Jingjing Wang, who contribute to the collaborative efforts in research and development within the institution.

Conclusion

Ni Gao's innovative methods in brain imaging represent a significant advancement in the field of medical technology. His contributions not only enhance the understanding of brain structures but also pave the way for improved predictive models in neuroscience.