Chafiaa Hamitouche

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About

Chafiaa Hamitouche is a leading researcher in medical image processing and computer-assisted surgery, with a focus on orthopedic interventions. Her key research areas include image-guided surgery, 3D bone surface modeling, and segmentation and registration techniques for surgical planning. Her most cited work, "Recognition-based segmentation and registration method for image guided shoulder surgery" (2011, 19 citations), addresses a critical challenge in any image-guided surgical system—whether navigation, templates, or robotics—by developing a method to generate accurate 3D bone surface models from CT or MR images. This contribution enables precise planning, registration, and visualization for shoulder surgery, enhancing surgical outcomes. Hamitouche’s work is notable for its practical impact on improving the reliability of patient-specific models, a cornerstone of modern minimally invasive procedures. Her research has influenced the field of computer-assisted orthopedics, providing foundational techniques that support safer and more effective surgeries. With a career dedicated to bridging imaging science and clinical application, Hamitouche continues to advance the integration of computational methods into surgical practice, making her a key figure in the evolution of image-guided medicine.