Papers
20
Total Citations
292
H-Index
9
About
Evangelos B. Mazomenos is a prominent researcher at the intersection of surgical robotics, computer vision, and minimally invasive surgery, whose work is reshaping how surgical performance is evaluated and automated. His research spans objective skills assessment in robotic and endovascular surgery, deep learning-based surgical video analysis, and intelligent sensing for endoscopic procedures. Among his most influential contributions is a landmark systematic review on AI and objective tools for robotic surgery training (2023, 71 citations), which has become a critical reference for standardizing surgical education and accreditation. His development of Contra-Sformer, a contrastive regression transformer for automated skill assessment, and the MSDESIS framework for simultaneous stereo disparity estimation and instrument segmentation, demonstrate his ability to translate cutting-edge machine learning into clinically meaningful tools. Mazomenos has also advanced the field of endovascular surgery through catheter manipulation analysis for TAVI procedures and pioneered novel localization techniques for capsule endoscopy. His work on tactile robotic capsules and magnetic flexible endoscopes further reflects a breadth of innovation in diagnostic and therapeutic devices. With over 250 cumulative citations, his research has tangible implications for surgical training, patient safety, and the future of autonomous surgical systems.
Research Focus
Key Achievements
Top Papers
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- 7Endoscopic Tactile Capsule for Non-Polypoid Colorectal Tumour Detection15 citations · 2020
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