Rajeshree Rokade

Papers

Total Citations

H-Index

About

Dr. Rajeshree Rokade is a researcher at the forefront of computer vision and medical imaging, with a specialized focus on depth estimation and stereo vision technologies. Her most cited work, "Depth Estimation Using Stereo Medical Imaging" (2024), addresses a critical challenge in medical diagnostics and robotic navigation by developing algorithms that generate precise depth maps from stereo image pairs. This contribution is particularly significant for applications ranging from 3D medical visualization to human-computer interfaces, where accurate spatial understanding is paramount. Dr. Rokade's research bridges the gap between theoretical computer vision and practical clinical tools, enabling enhanced depth perception in surgical planning and diagnostic imaging. Her work on contrast maps for depth information display demonstrates an innovative approach to making complex spatial data more interpretable. While her citation count is still growing, the foundational nature of her research positions her as an emerging authority in medical depth detection. Dr. Rokade's contributions are paving the way for more intuitive and accurate 3D imaging systems, with potential impacts on robot-assisted surgery, autonomous navigation in clinical environments, and advanced medical training simulations.