Nedia Nouri
Papers
1
Total Citations
22
H-Index
1
About
Nedia Nouri is a researcher at the forefront of medical video quality assessment, with a focused expertise in applying subjective quality metrics to compressed video streams for tele-surgery applications. Her most-cited work, "Subjective MPEG2 compressed video quality assessment: Application to Tele-surgery" (2010, 22 citations), addresses a critical challenge in the digital revolution of remote Robotic-Assisted Surgery: the need to transmit high-quality medical video over bandwidth-constrained networks. Nouri’s major contribution lies in systematically evaluating how MPEG2 compression affects the perceptual quality of surgical video, establishing benchmarks that ensure surgeons can rely on clear, artifact-free visuals during remote procedures. This work bridges the gap between video compression engineering and clinical safety, highlighting the trade-offs between data reduction and diagnostic accuracy. By quantifying subjective video quality in a medical context, Nouri has provided foundational insights for developing more robust tele-surgery systems. Her research is particularly valuable for students and engineers working on telemedicine, video compression, and human-computer interaction, demonstrating how rigorous quality assessment can directly impact patient outcomes and the reliability of remote surgical interventions.
Research Focus
Key Achievements
Top Papers
- 1