About
Oge Marques is a Professor in Computer Science with expertise in machine learning, image processing, and multimedia systems. Their research focuses on applying computer vision to medical diagnostics, biometric recognition, and healthcare data analysis.
Key research areas include:
- Deep learning for skin cancer and tuberculosis diagnosis
- Bias assessment in medical AI models
- Biometric systems for fingerprint and iris recognition
- Wearable healthcare technologies
- 3D video coding and autostereoscopic displays
Marques has contributed to 15+ journal articles and book chapters since 2002, collaborating with researchers in Austria, India, and the US. Their work appears in journals like Multimedia Tools and Applications and Journal of Digital Imaging, covering topics from spiking neural networks to compound figure separation in scientific publications.
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