Mohammadreza Ramezanifard

Papers

Total Citations

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About

Mohammadreza Ramezanifard is a researcher focused on advancing robotic-assisted minimally invasive surgery (MIS), particularly through innovations in tactile sensing and haptic feedback. His work addresses a critical limitation in laparoscopic procedures: the loss of tactile information for surgeons. His most cited paper, “3D Graphical Rendering of Localized Lumps and Arteries for Robotic Assisted MIS” (2011, 7 citations), tackles the challenge of detecting hard inclusions within soft tissue—a vital capability for tumor localization and safe dissection. He developed methods to graphically render these subsurface features, enhancing surgical precision. In another key contribution, “An endoscopic grasper with corrugated plate-shaped tactile sensors” (2009, 5 citations), Ramezanifard designed, modeled, and tested a miniaturized tactile sensor integrated into a grasper. This sensor restores a sense of touch during endoscopic surgery by measuring contact forces, helping surgeons differentiate tissue types and avoid excessive force. Though his citation counts are modest, his work represents foundational steps toward restoring haptic feedback in robotic surgery—a long-standing challenge in the field. His research bridges mechanical design, finite element modeling, and clinical application, offering practical solutions for safer, more intuitive surgical tools.