Evangelos B. Mazomenos — accepted AI-conference papers

2026

Surgical AI Copilot: Energy-Based Fourier Gradient Low-Rank Adaptation for Surgical LLM Agent Reasoning and Planning

Jiayuan Huang, Runlong He, Danyal Zaman Khan, Evangelos B. Mazomenos, Danail Stoyanov, Hani Marcus +3

AAAI 2026technical

Image-guided surgery demands adaptive, real-time decision support, yet static AI models struggle with structured task planning and providing interactive guidance. Large language models (LLMs)-powered agents offer a promising solution by enabling dynamic task planning and predictive decision support.

Cited by 0 Source ↗PDF ↗Scholar ↗

2025

SEDMamba: Enhancing Selective State Space Modelling With Bottleneck Mechanism and Fine-to-Coarse Temporal Fusion for Efficient Error Detection in Robot-Assisted Surgery

Jialang Xu, Nazir Sirajudeen, Matthew Boal, Nader Francis, Danail Stoyanov, Evangelos B. Mazomenos

RA-L 2025

Automated detection of surgical errors can improve robotic-assisted surgery. Despite promising progress, existing methods still face challenges in capturing rich temporal context to establish long-term dependencies while maintaining computational efficiency. In this letter, we propose a novel hierar

Cited by 4 Source ↗code ↗Scholar ↗

2024

Think Step by Step: Chain-of-Gesture Prompting for Error Detection in Robotic Surgical Videos

Zhimin Shao, Jialang Xu, Danail Stoyanov, Evangelos B. Mazomenos, Yueming Jin

RA-L 2024

Despite advancements in robotic systems and surgical data science, ensuring safe execution in robot-assisted minimally invasive surgery (RMIS) remains challenging. Current methods for surgical error detection typically involve two parts: identifying gestures and then detecting errors within each ges

Cited by 11 Source ↗code ↗Scholar ↗

2023

Keep Your Eye on the Best: Contrastive Regression Transformer for Skill Assessment in Robotic Surgery

Dimitrios Anastasiou, Yueming Jin, Danail Stoyanov, Evangelos B. Mazomenos

RA-L 2023

This letter proposes a novel video-based, contrastive regression architecture, Contra-Sformer, for automated surgical skill assessment in robot-assisted surgery. The proposed framework is structured to capture the differences in the surgical performance, between a test video and a reference video wh

Cited by 32 Source ↗Scholar ↗

2018

Relative Pose Estimation From Image Correspondences Under a Remote Center of Motion Constraint

Francisco Vasconcelos, Evangelos B. Mazomenos, John D. Kelly, Sébastien Ourselin, Danail Stoyanov

RA-L 2018

This letter proposes an algorithm to estimate the relative pose between two image view-points assuming that a camera is moving under a remote center of motion constraint. This is useful in minimally invasive robotic surgery, where the motion of a laparoscopic camera is constrained by the keyhole ins

Cited by 3 Source ↗Scholar ↗