Monthly Archives: July 2025

We developed a data-adaptive, self-supervised deep learning method combining sparse coding (SC) +  visual transformer (ViT) for denoising pediatric cardiac photon-counting CT. Preserves anatomy, adapts to noise, generalizes well—even to preclinical data. Clark, D. P., Cao, J. Y., & Badea, … Continue reading →

Our team developed a CT-visible bioprinted vascular patch using dual-contrast bioinks. Photon-counting CT enabled precise tracking of structure and perfusion, highlighting the role of imaging in cardiac repair. Gil, C. J., Allphin, A. J., Jin, L., Salar Amoli, M., Rezapourdamanab, … Continue reading →