Pon Deepika

International Institute of Information Technology Bangalore

Papers

Total Citations

H-Index

About

Pon Deepika is a researcher at the forefront of neurosurgical robotics and computer-assisted intervention, specializing in the automation of critical, high-precision surgical tasks. Her work directly addresses the limitations of manual procedures in neurosurgery, where variability and reliance on surgeon expertise can impact patient outcomes. Deepika’s major contributions include the development of an autonomous neuro-navigation system that integrates real-time data to guide craniotomy paths, moving beyond static radiographic images to enhance surgical accuracy. She has also designed an automated drilling device for craniotomies, a system that standardizes bone perforation—a task traditionally performed manually by highly trained neurosurgeons. In the realm of surgical skill assessment, Deepika pioneered automated microsurgical tool segmentation in intra-operative videos, offering a method to evaluate surgical dexterity without the bias and time constraints of expert-led checklists. Her most cited work, on tool segmentation, has garnered 10 citations, with her broader portfolio accumulating over 17 citations. By merging robotics, computer vision, and neurosurgery, Deepika is shaping a future where autonomous systems augment surgical precision, reduce human error, and democratize access to high-quality neurosurgical care.