Elias Lochner
Papers
1
Total Citations
14
H-Index
1
About
Elias Lochner is a pioneering researcher at the intersection of robotic ophthalmic surgery and artificial intelligence. His work focuses on developing intelligent systems to enhance the precision and safety of delicate retinal procedures, particularly subretinal injections for treating macular degeneration and other vision-threatening conditions. Lochner’s major contribution lies in integrating deep learning with microscope-integrated Optical Coherence Tomography (OCT) to enable real-time, robust needle detection and localisation during robot-assisted surgery. His most cited paper, "Needle detection and localisation for robot‐assisted subretinal injection using deep learning" (2023, 14 citations), demonstrates a framework that overcomes the challenges of manual subretinal injection—a task requiring extreme accuracy. By training neural networks to identify needle tips in OCT volumes, Lochner’s work directly addresses a critical bottleneck in automating these high-stakes procedures. This research not only advances surgical robotics but also lays the groundwork for safer, more accessible treatments for retinal diseases. With a growing citation impact, Lochner is establishing himself as a key figure in the emerging field of AI-driven microsurgery, where his innovations promise to transform how surgeons interact with complex biological tissues.
Research Focus
Key Achievements
Top Papers
- 1