Megha Kalia
Papers
8
Total Citations
104
H-Index
5
About
Megha Kalia is a leading researcher at the intersection of surgical robotics, augmented reality (AR), and computer vision. Her work focuses on developing real-time, markerless AR guidance systems to enhance precision in robot-assisted surgery—particularly for prostatectomy. Kalia’s major contributions include a unified, markerless calibration procedure for camera and hand-eye transformations, enabling intra-operative AR without external fiducials. Her 2019 paper on real-time depth estimation for surgical robotics has garnered 37 citations, while her preclinical and intra-operative evaluations of AR guidance systems for robot-assisted radical prostatectomy (2020–2021) have accumulated 33 citations combined. She also pioneered a multi-camera, multi-view system for surgical training and skill assessment (11 citations) and explored ultrasound image guidance for transoral robotic surgery. Kalia’s work on motion parallax and stereo for medical AR/MR addresses critical depth perception barriers to clinical translation. Her innovative co-generation and segmentation method for generalized surgical instrument segmentation on unlabelled data further demonstrates her commitment to advancing autonomous surgical scene understanding. With a portfolio spanning real-time calibration, depth estimation, and skill assessment, Kalia is shaping the future of intelligent, AR-enhanced surgical robotics.
Research Focus
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Top Papers
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