1 citations · 1 across the 5 of their papers we have counts for
Showing eess.SPShow all
2 papers · 1 filter
eess.SP2025
Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography
Harshit Agrawal, Ari Hietanen, Simo Särkkä
Purpose: Scatter artifacts drastically degrade the image quality of cone-beam computed tomography (CBCT) scans. Although deep learning-based methods show promise in estimating scat…
eess.SP2025
Statistical Linear Regression Approach to Kalman Filtering and Smoothing under Cyber-Attacks
Kundan Kumar, Muhammad Iqbal, Simo Särkkä
Remote state estimation in cyber-physical systems is often vulnerable to cyber-attacks due to wireless connections between sensors and computing units. In such scenarios, adversari…