Scholar
Leonid Mill
Google Scholar ID: Ng1jBCEAAAAJ
MIRA Vision
Citations & Impact
Citations
650
H-index
6
i10-index
5
Publications
20
Co-authors
0
Publications
Resume
Academic Achievements
- Addressed six core problems faced by traditional AI training data: expensive data generation, massive data volumes, domain shift, privacy and regulation restrictions, high costs for annotations, etc.
Research Experience
- Developed fully parametric synthetic AI systems that can automatically analyze pathological image data without the need for real patient data training.
Background
- Focused on revolutionizing medical diagnostics through artificial intelligence, particularly using synthetic data for pathology image analysis.
Miscellany
- Aims to make medical diagnostics more sustainable, accessible, and efficient; reduces costs and resource consumption through synthetic training data, eliminates privacy concerns, and enhances the speed and precision of analysis.