Papers

5

Total Citations

101

H-Index

3

About

Armen Avetisyan is a pioneering researcher whose work spans two distinct and impactful domains: computer vision for visual localization and robot-assisted thoracic surgery. In computer vision, Avetisyan introduced **OrienterNet** (2023, 78 citations), the first deep neural network enabling visual localization using simple 2D public maps instead of expensive 3D point clouds. This breakthrough bridges a critical gap between human and machine spatial reasoning, allowing algorithms to orient themselves in 3D environments with unprecedented efficiency and accessibility. In the medical field, Avetisyan has made seminal contributions to **robot-assisted thoracoscopic surgery** for pulmonary tuberculosis and lung cancer. His research demonstrates that robotic systems can overcome the limitations of traditional video-assisted thoracoscopic surgery (VATS) in cases complicated by dense pleural adhesions and fibrotic changes. His studies on robot-assisted lobectomies (2015–2018) establish the safety, efficacy, and feasibility of minimally invasive approaches in these challenging patient populations, with cumulative citations reflecting growing clinical interest. Avetisyan’s work uniquely bridges cutting-edge AI and surgical innovation, advancing both fundamental computer vision and life-saving surgical techniques.

Research Focus

Key Achievements

3
H-Index
5
Papers
101
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
OrienterNet: Visual Localization in 2D Public Maps with Neural Matching
78 citations · 2023
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: META Health, Saint-Petersburg Research Institute of Phthisiopulmonology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago