Yanyan Shen
Papers
2
Total Citations
16
H-Index
2
About
Yanyan Shen is a researcher at the forefront of medical imaging and 3D shape analysis, with a primary focus on developing generative models for brain reconstruction. Her most notable contribution is the creation of a pioneering point cloud generative model that leverages tree-structured graph convolutions for 3D brain shape reconstruction. This work addresses a critical challenge in neurosurgery: fusing medical images with corresponding 3D shape representations to provide complementary microstructural details, thereby improving surgical accuracy and operational performance. The model offers a solution to the scarcity of intraoperative 3D shape data by generating realistic brain point clouds from available image data. With her key paper accumulating 14 citations, Shen’s research has already demonstrated significant impact in the field of medical image computing. Her innovative approach to combining graph-based deep learning with point cloud generation represents a meaningful advance toward more precise, data-driven surgical planning and intervention.
Research Focus
Key Achievements
Top Papers
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- 2