Papers
1
Total Citations
10
H-Index
1
About
Karthik Udupa is a researcher at the intersection of computer vision and neurosurgery, with a primary focus on automated surgical skill assessment and microsurgical tool analysis. His most cited work, "Automated Microsurgical Tool Segmentation and Characterization in Intra-Operative Neurosurgical Videos" (2022, 10 citations), addresses a critical bottleneck in medical education: the time-intensive, bias-prone nature of manual surgical skill evaluation. Udupa’s key contribution lies in developing computer vision algorithms that can automatically segment and characterize microsurgical tools from intra-operative video feeds, enabling objective, scalable assessment of surgical dexterity. This work directly tackles the challenge of checklist-based evaluation, offering a data-driven alternative that reduces assessor bias and frees expert time. By translating raw video data into quantifiable metrics of surgical performance, Udupa’s research promises to transform how neurosurgical skills are taught and evaluated, moving from subjective observation to reproducible, automated analysis. His work is particularly notable for its direct clinical applicability, aiming to improve training outcomes in high-stakes microsurgical procedures.
Research Focus
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