3 papers
eess.IV2026
Tomo-center: an AI-based rotation-axis center finder for synchrotron micro- and nano-tomography
Songyuan Tang, Xiaoyang Liu, Viktor Nikitin +3
Accurate determination of the rotation-axis position is a prerequisite for artifact-free reconstruction in parallel-beam synchrotron micro-tomography. Traditional approaches such a…
cs.AI2026
CVEvolve: Autonomous Algorithm Discovery for Unstructured Scientific Data Processing
Ming Du, Xiangyu Yin, Yanqi Luo +4
Scientific data processing often requires task-specific algorithms or AI models, creating a barrier for domain scientists who need to analyze their data but may not have extensive…
eess.IV2024
Deep learning-based spatio-temporal fusion for high-fidelity ultra-high-speed x-ray radiography
Songyuan Tang, Tekin Bicer, Tao Sun +2
Full-field ultra-high-speed (UHS) x-ray imaging experiments have been well established to characterize various processes and phenomena. However, the potential of UHS experiments th…