S. Illarionova

Burst Super-Resolution for Intraoperative Image Analysis Without High-Resolution Ground Truth

Intraoperative imaging, despite advances in high-resolution sensors, often suffers from effective resolution loss due to motion blur, suboptimal illumination, acquisition distance, and real-time compression, reducing image clarity and limiting reliable computer-aided analysis during minimally invasive surgery (MIS). Su...

AI and Digital Health in the Diagnosis, Prediction, and Treatment of Migraine: Current Applications and Future Perspectives

Joint Cloud-Resilient Super-Resolution and Restoration Using AlphaEarth Foundation Embeddings

This study investigates whether geospatial priors derived from AlphaEarth Foundation model embeddings can simultaneously enhance SR reconstruction and facilitate cloud-affected region recovery and shows that AEF conditioning provides an implicit cloud-inpainting effect within the MISR framework, enabling simultaneous s...

Large scale cross-regional remote sensing flood monitoring framework for operative mapping and impact analysis

Effective flood monitoring is critical for minimizing the impacts of flood disasters on populations and infrastructure. Yet reliable remote sensing across extensive and environmentally diverse regions remains challenging, as most segmentation algorithms lack the generalisation capacity required for large-scale applicat...