Rebekka Peter
Papers
2
Total Citations
10
H-Index
2
About
Rebekka Peter is a rising researcher at the intersection of ophthalmic surgery and robotics, focusing on computer-assisted interventions for vitreoretinal procedures. Her primary contributions lie in developing intraoperative sensing and modeling techniques that enhance surgical precision and safety. She is best known for pioneering an intraoperative adaptive eye model that integrates instrument-integrated optical coherence tomography (OCT) for robot-assisted vitreoretinal surgery. This work, published in 2025 and already garnering 8 citations, addresses the critical need for real-time anatomical feedback during pars plana vitrectomy—the most common retinal surgery. By providing precise spatial information relative to surgical instruments, her model enables safer, more automated assistance in delicate retinal procedures. Peter also contributed the PASO dataset, a multipurpose porcine anterior segment collection featuring spectral and reconstructed OCT volumes with surgical instrument segmentation masks, which serves as a benchmark for developing and validating segmentation algorithms. Her work is foundational for the next generation of smart surgical robots, bridging imaging, robotics, and clinical practice.
Research Focus
Key Achievements
Top Papers
- 1
- 2