S. Hosseinian

Papers

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About

S. Hosseinian is a researcher whose work sits at the critical intersection of medical imaging, photogrammetry, and computer-assisted surgery. Their key research areas focus on the restoration and enhancement of X-ray images, with a particular emphasis on improving the quality and utility of medical photogrammetric data. Hosseinian’s major contribution lies in systematically assessing and comparing various restoration methods for X-ray images, addressing the fundamental challenge of extracting reliable, high-fidelity information from modalities like digital radiography, computed tomography, and fluoroscopy. This work is especially vital for the precision required in computer and robotic-assisted surgical procedures, where image clarity directly impacts diagnostic accuracy and operative success. Their most-cited paper, "Assessment of Restoration Methods of X-ray Images with Emphasis on Medical Photogrammetric Usage" (2016), has garnered 5 citations, establishing a foundational reference for researchers seeking to improve image quality in medical contexts. By tackling the noise and degradation inherent in X-ray imaging, Hosseinian has contributed to the foundational infrastructure that enables safer, more effective image-guided interventions, making their research a valuable resource for students and professionals working at the nexus of medical physics, computer vision, and surgical robotics.