Domagoj Marijanović

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About

Domagoj Marijanović is a researcher advancing the intersection of computer vision, robotics, and medical diagnostics, with a primary focus on chronic wound assessment. His work addresses the global healthcare burden of non-healing wounds, which are exacerbated by aging populations and rising rates of obesity and diabetes. Marijanović’s major contributions include developing an automatic robot-driven 3D reconstruction system for chronic wounds (2021, 16 citations), which enables precise, non-invasive wound measurement and monitoring. He also pioneered a simple feedforward neural network for wound detection (2022, 13 citations), streamlining tissue classification and healing prediction to assist medical personnel. By integrating robotics and deep learning, his research reduces manual assessment errors and enhances clinical efficiency. Marijanović’s work is notable for its practical focus on automating wound analysis, directly supporting healthcare providers in treatment planning. With cumulative citations reflecting growing interest, his contributions are shaping the future of telemedicine and automated wound care, offering scalable solutions for chronic wound management.