Synopsis of recent research by authors named "Parmida Beigi"
- Parmida Beigi's research primarily focuses on improving needle visualization and localization techniques in ultrasound imaging, addressing challenges with detecting needles that are often imperceptible in standard images.
- Her work explores various innovative methodologies, including machine learning, motion analysis, and advanced image processing, to enhance needle detection and tracking, significantly contributing to precision in medical interventions.
- Beigi has also studied the interface between technology and healthcare by evaluating the feasibility of advanced ultrasound techniques for real-time procedures, as well as exploring the potential of breath analysis with electronic noses for early lung cancer detection among high-risk smokers.
