Anirudh Choudhary

Georgia Institute of Technology

Papers

1

Total Citations

10

H-Index

1

About

Anirudh Choudhary is a researcher at the intersection of computer vision and medical imaging, with a focus on enhancing the accuracy and automation of image-guided surgery. His most cited work, "Pose-aware C-Arm Calibration and Image Distortion Correction for Guidewire Tracking and Image Reconstruction" (2020, 10 citations), addresses a critical challenge in minimally-invasive procedures: the geometric and intensity distortions inherent in low-cost C-arm image intensifiers. By developing a pose-aware calibration framework, Choudhary enables more reliable guidewire tracking and image reconstruction, directly improving surgical guidance. This contribution is particularly significant because it automates a process traditionally reliant on manual correction, reducing error and enhancing procedural safety. His research demonstrates a deep understanding of both the physical limitations of medical hardware and the algorithmic solutions needed to overcome them. While his citation count is still growing, the practical implications of his work—bridging the gap between cost-effective imaging tools and high-precision surgical needs—mark him as a promising innovator in the field of computer-assisted interventions.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Pose-aware C-Arm Calibration and Image Distortion Correction for Guidewire Tracking and Image Reconstruction
10 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Georgia Institute of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago