Kailing Wang
Papers
2
Total Citations
86
H-Index
2
About
Kailing Wang is a leading researcher at the intersection of computer vision, medical imaging, and computational geometry, with a focus on real-time 4D reconstruction and surgical scene understanding. Their major contributions include pioneering neural representations for deformable tissue modeling, most notably through the "Neural LerPlane Representations for Fast 4D Reconstruction of Deformable Tissues" (2023, 51 citations), which introduced a novel framework for capturing dynamic anatomical structures with unprecedented speed and accuracy. This work has been instrumental in advancing intraoperative imaging and robotic surgery. Wang further revolutionized the field with "EndoGSLAM: Real-Time Dense Reconstruction and Tracking in Endoscopic Surgeries Using Gaussian Splatting" (2024, 35 citations), a breakthrough that enables real-time, high-fidelity 3D mapping of endoscopic environments—a critical step toward autonomous surgical navigation and augmented reality guidance. With over 86 combined citations in just two years, Wang's research is rapidly shaping the future of minimally invasive surgery and medical robotics. Their work stands out for its practical deployability, bridging the gap between cutting-edge neural rendering and clinical real-time constraints.
Research Focus
Key Achievements
Top Papers
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