Bassem Dahroug

Centre National de la Recherche Scientifique

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About

Bassem Dahroug is a pioneering researcher at the intersection of medical robotics, computer vision, and optical imaging. His work focuses on developing advanced algorithms for robotic-assisted microscopy and minimally invasive surgery, particularly using optical coherence tomography (OCT) and endomicroscopy. Dahroug’s major contributions include creating an online robust mosaicking algorithm that constructs large, high-resolution confocal images from endomicroscopy video, overcoming the classic trade-off between field-of-view and resolution. He also pioneered a PCA-based visual servoing control law for automatic six-degree-of-freedom positioning, enabling precise, non-invasive depth examination of biological samples under optical devices. Additionally, his research on unilaterally constrained motion of curved surgical tools provides generic formulations for constrained motion in minimally invasive interventions. With his most cited works each garnering 10 citations, Dahroug’s impact is evident in advancing the precision and autonomy of robotic surgical systems. His notable achievements include integrating robot priors for robust image mosaicking and developing vision-based control strategies that promise to enhance the accuracy of automated medical procedures, making him a key figure in the evolution of intelligent surgical robotics.