Farnoosh Dadashi

University of Minnesota

Papers

2

Total Citations

6

H-Index

2

About

Farnoosh Dadashi is pioneering the intersection of computer vision and neurosurgery with her groundbreaking work in automated cranial microsurgery for rodents. Her research focuses on developing computer vision–guided robotic systems that can perform precise, rapid craniotomies—critical procedures for implanting neural interfaces and cranial windows in mice. Dadashi’s major contribution lies in replacing manual, error-prone surgical techniques with automated, image-guided precision, significantly reducing variability and improving reproducibility in neuroscience experiments. Her 2025 paper on this topic has already garnered 4 citations, while her 2024 foundational study in rodents has received 2 citations, reflecting growing interest in this emerging field. By integrating real-time visual feedback with robotic control, Dadashi’s work enables high-throughput, standardized cranial surgeries that are essential for long-term neural recording and imaging studies. Her achievements represent a significant leap toward making complex neurosurgical procedures accessible to more laboratories, accelerating research into brain function and neurological disorders.

Research Focus

Key Achievements

2
H-Index
2
Papers
6
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Computer vision–guided rapid and precise automated cranial microsurgeries in mice
4 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: University of Minnesota

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago