Mohammad H. Kayvanrad
Papers
1
Total Citations
37
H-Index
1
About
Mohammad H. Kayvanrad is a biomedical engineer whose research sits at the intersection of medical imaging, wound care, and bioprinting. His most cited work, "Segmentation and Measurement of Chronic Wounds for Bioprinting" (2017, 37 citations), provides a groundbreaking proof-of-concept tool that segments chronic wounds and translates their geometry into precise coordinates for a bioprinter robot. This innovation directly addresses a critical clinical need—automating the treatment of chronic, non-healing wounds. By comparing several segmentation methods to measure wound geometry accurately, Kayvanrad’s research bridges computer vision and regenerative medicine, offering a pathway toward personalized, robotic-assisted tissue repair. His contributions are notable for their translational potential, aiming to reduce manual intervention and improve outcomes for patients with chronic ulcers. With a focus on integrating imaging algorithms with bioprinting hardware, Kayvanrad’s work exemplifies how engineering can transform clinical practice, making him a key figure in the emerging field of automated wound therapy.
Research Focus
Key Achievements
Top Papers
- 1Segmentation and Measurement of Chronic Wounds for Bioprinting37 citations · 2017