Anton Fomenko
Health Sciences Centre, University of Toronto, University of Manitoba
Papers
3
Total Citations
105
H-Index
3
About
Anton Fomenko is a leading researcher at the intersection of neurosurgery and advanced engineering, specializing in robotic stereotaxy, focused ultrasound neuromodulation, and the history of automation in cranial procedures. His seminal work, the 2017 qualitative systematic review on robotic stereotaxy in cranial neurosurgery (81 citations), provides a foundational analysis of how automated systems enhance accuracy and reproducibility in accessing deep brain targets, establishing a critical framework for modern surgical robotics. Fomenko further pushes the boundaries of non-invasive brain intervention with his 2022 study on transcranial ultrasound (TUS) neuromodulation in patients with deep brain stimulators (20 citations), where he demonstrated ex-vivo thermal, kinetic, and targeting feasibility—a pivotal step toward safe, focused ultrasound therapies for implanted populations. His historical perspective on robotics in neurosurgery (2022) contextualizes these innovations within decades of technological evolution. Through rigorous systematic review and translational feasibility studies, Fomenko has shaped the trajectory of minimally invasive neurosurgery, bridging engineering precision with clinical application. His work continues to inspire researchers seeking to harmonize robotic assistance and ultrasound technology for safer, more effective brain interventions.
Research Focus
Key Achievements
Top Papers
- 1Robotic Stereotaxy in Cranial Neurosurgery: A Qualitative Systematic Review81 citations · 2017
- 2
- 3Introduction and History of Robotics in Neurosurgery4 citations · 2022