Anna Jezierska

Gdańsk University of Technology, Dynamic Systems (United States), Systems Research Institute

Papers

Total Citations

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About

Anna Jezierska is a leading researcher at the intersection of computer vision and medical imaging, with a primary focus on surgical instrument tracking and video enhancement. Her most impactful work centers on developing advanced models for detecting and estimating the pose of surgical instruments in video-assisted procedures, where she pioneered the use of rigid part mixtures models to achieve robust tracking under challenging conditions. Her 2018 paper on this topic, which has garnered 21 citations, demonstrates her ability to solve critical problems in minimally invasive surgery. Jezierska has also made significant contributions to video denoising, notably with her 2022 work on BP-EVD, which introduced the first deep neural network capable of real-time denoising—a breakthrough essential for applications in robotics and medicine where variable lighting and sensor limitations degrade image quality. This paper has already accumulated 18 citations, reflecting its immediate impact. Her earlier 2016 work on instrument tracking further solidified her reputation, earning 13 citations. Jezierska’s research is characterized by its practical relevance, bridging theoretical advances in computer vision with tangible improvements in surgical and robotic systems.