Farzad Fereidouni

University of California, Davis

Papers

1

Total Citations

17

H-Index

1

About

Farzad Fereidouni is a leading figure in biomedical optics and intraoperative imaging, with a primary focus on advancing fluorescence lifetime imaging (FLIm) for surgical guidance. His most notable contribution is the development of an anatomy-specific classification model using label-free FLIm to aid in the real-time identification of head and neck cancer tissue during surgery. This work, published in 2023 and already cited 17 times, addresses the critical challenge of achieving complete tumor resection while minimizing recurrence. By leveraging intrinsic tissue fluorophores, Fereidouni’s approach enables precise demarcation of tumor margins without the need for exogenous contrast agents, offering a transformative tool for surgeons. His research bridges the gap between advanced optical imaging and clinical practice, with significant implications for improving patient outcomes in oncology. With a growing citation impact, Fereidouni’s work is recognized for its innovation in non-invasive, real-time tissue characterization, positioning him as a key contributor to the future of precision surgery and cancer diagnostics.

Research Focus

Key Achievements

1
H-Index
1
Papers
17
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Anatomy-Specific Classification Model Using Label-Free FLIm to Aid Intraoperative Surgical Guidance of Head and Neck Cancer
17 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: University of California, Davis

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago