Avi Krishna Srivastava
Papers
2
Total Citations
6
H-Index
2
About
Avi Krishna Srivastava is a researcher at the forefront of image-guided neurosurgery, specializing in the development of precise, minimally invasive surgical navigation systems. His work directly addresses critical challenges in neurosurgical planning and execution, particularly the accuracy of preoperative imaging in the dynamic environment of the operating room. Srivastava’s major contributions include the design of an efficient electromagnetic tracking pipeline for preoperative-image guided navigation, validated through a single-institution cadaver study, demonstrating a practical and effective approach for modern neural surgeries. He further advanced the field by tackling the problem of morphological deformation of surface anatomy during procedures. His research on utilizing intra-operative 3D surface scanning to mitigate these deformations offers a novel solution to maintain navigational accuracy when soft tissue shifts. Although his most cited works have garnered 3 citations each, their impact lies in their practical, translational focus, providing a clear framework for integrating advanced imaging into real-world surgical workflows. Srivastava’s work is essential reading for students and researchers interested in the intersection of computer vision, medical imaging, and neurosurgical robotics.
Research Focus
Key Achievements
Top Papers
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- 2