Enes Senel

Özyeğin University, Technical University of Munich

Papers

Total Citations

H-Index

About

Enes Senel is a researcher specializing in medical robotics and image-guided interventions, with a primary focus on enhancing the precision and safety of percutaneous needle procedures. His key research areas include real-time needle tip localization, visual tracking in 2D ultrasound (US) imaging, and robotic-assisted biopsy systems. Senel’s major contributions center on developing robust, image-based algorithms to overcome the inherent challenges of US-guided interventions—such as noise, low resolution, and the need for high-speed tracking. His most cited work (27 citations) introduces a method combining Gabor filter-based image processing with Kalman filtering for real-time needle tip estimation in robotic biopsies, significantly reducing estimation noise. He further advanced this field by proposing techniques for visual tracking of multiple moving targets in US-guided procedures, addressing the complexity of tracking both the needle and anatomical targets simultaneously. With a total of 48 citations across his top papers, Senel’s research has laid foundational groundwork for more reliable and automated robotic interventions, directly impacting clinical practices in minimally invasive diagnostics and therapeutics. His work is particularly notable for its practical emphasis on real-time performance and noise resilience, making it highly relevant for students and researchers in medical robotics and computer-assisted surgery.