Charalampos Komninos
Papers
5
Total Citations
26
H-Index
3
About
Charalampos Komninos is a researcher at the forefront of surgical imaging and robotic-assisted interventions, with a primary focus on enhancing intra-operative visualization for urology and ophthalmology. His work addresses a critical challenge: the trade-off between real-time imaging speed and image quality during surgery. Komninos has pioneered the use of the pneumatically attachable flexible (PAF) rail system for ultrasound 3D reconstruction in robotic-assisted partial nephrectomy, demonstrating its utility in localizing malignant masses and renal vasculature—a contribution that has garnered foundational citations in surgical robotics. His most impactful work, however, centers on intra-operative optical coherence tomography (iOCT) super-resolution. By leveraging high-quality pre-operative scans and advanced deep learning techniques—including contrastive learning and two-stage super-resolution frameworks—he has developed methods to dramatically enhance iOCT image quality without sacrificing real-time performance. This innovation is vital for enabling the precise subretinal delivery of regenerative therapies for degenerative eye diseases. With a growing citation record (over 25 total citations across his top papers), Komninos is establishing himself as a key figure in bridging computer vision, surgical robotics, and translational medicine, making him a compelling voice for students interested in AI-driven surgical assistance.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5