Kripasindhu Sarkar

Papers

Total Citations

H-Index

About

Kripasindhu Sarkar is a researcher whose work lies at the intersection of computer vision, augmented reality (AR), and medical imaging. His early contributions focused on advancing image-guided surgery (IGS), particularly through the development of an AR platform for planning minimally invasive cardiac surgeries (2012, 12 citations). This foundational work addressed a critical need in IGS—presenting complex surgical information to clinicians in a simple, intuitive manner. By integrating real-time AR overlays with patient-specific anatomical data, Sarkar’s system enhanced surgical precision and decision-making, marking a significant step toward safer, less invasive procedures. Beyond this, his research has explored novel methods for 3D reconstruction, rendering, and interactive visualization, with applications spanning both medical and general AR contexts. While his citation count reflects the specialized nature of his field, the impact of his work is evident in its adoption as a building block for subsequent IGS systems. Sarkar’s contributions continue to influence the design of AR tools that bridge the gap between digital information and physical reality, offering valuable insights for researchers and practitioners in computer-assisted surgery and human-computer interaction.