Reem Shaban
Papers
1
Total Citations
2
H-Index
1
About
Reem Shaban is a pioneering researcher at the intersection of robotics, medical imaging, and computer vision, with a primary focus on advancing ultrasound-guided spinal interventions. Her key contributions lie in developing intelligent systems that enhance real-time visualization and shape completion for robotic ultrasound acquisitions, directly addressing the critical challenge of shadowing artifacts that obscure deep tissue structures during spinal procedures. Her most cited work, "Shape Completion and Real-Time Visualization in Robotic Ultrasound Spine Acquisitions" (2025), has already garnered 2 citations, signaling early impact in this emerging field. By integrating robotic control with advanced computational methods, Shaban's research bridges the gap between traditional CT-based registration and the practical limitations of ultrasound, offering radiation-free, real-time solutions for safer and more accurate spinal interventions. Her work represents a significant step toward making robotic ultrasound a reliable tool in clinical settings, with potential to transform how surgeons navigate complex spinal anatomy. As a rising voice in medical robotics, Shaban is poised to shape the future of image-guided therapy.
Research Focus
Key Achievements
Top Papers
- 1