Gopi Krishna Erabati
Papers
1
Total Citations
3
H-Index
1
About
Gopi Krishna Erabati is a leading researcher in medical robotics and computer vision, with a primary focus on advancing wireless capsule endoscopy (WCE) technology. His most cited work, "Self-supervised monocular pose and depth estimation for wireless capsule endoscopy using transformers" (2024), addresses a critical challenge in gastrointestinal diagnostics: enabling precise, autonomous navigation of capsule endoscopes. By leveraging transformer-based architectures for self-supervised depth and pose estimation, Erabati’s approach eliminates the need for costly labeled data, significantly improving the capsule’s ability to map its 3D environment in real time. This breakthrough enhances diagnostic accuracy for conditions like polyps and bleeding, while reducing patient discomfort. With 3 citations in its first year, the paper underscores his growing influence in the field. Erabati’s work bridges deep learning and medical devices, offering a scalable solution for minimally invasive procedures. His contributions are pivotal for the next generation of intelligent endoscopic systems, where control and autonomy are paramount.
Research Focus
Key Achievements
Top Papers
- 1