Mirek Janatka
Papers
2
Total Citations
7
H-Index
2
About
Mirek Janatka is a researcher at the forefront of computational imaging and surgical data science, with a focus on advancing intraoperative vision systems. His primary research areas include hyperspectral imaging (HSI), deep reinforcement learning, and motion analysis for surgical video. Janatka’s major contribution lies in developing intelligent systems to overcome hardware limitations in real-time surgical imaging. His most cited work, "Deep Reinforcement Learning Based System for Intraoperative Hyperspectral Video Autofocusing" (2023, 5 citations), introduces a novel approach that uses reinforcement learning to autonomously maintain focus in handheld HSI systems—a critical step for precise tissue differentiation during surgery. Additionally, his paper "Higher Order of Motion Magnification for Vessel Localisation in Surgical Video" (2018, 2 citations) demonstrates innovative use of motion analysis to enhance vessel visibility in minimally invasive procedures. Though early in his career, Janatka’s work bridges the gap between advanced optics and practical surgical tools, with potential to improve outcomes in real-time tissue assessment. His research is particularly notable for integrating AI-driven automation into the operating room, addressing key challenges in surgical visualization.
Research Focus
Key Achievements
Top Papers
- 1
- 2