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Showing 6 of 26 academic articles

Influence of a Deep Learning Noise Reduction on the CT Values, Image Noise and Characterization of Kidney and Ureter Stones

Andrea Steuwe, Birte Valentin, Oliver T. Bethge, Alexandra Ljimani et al. • Diagnostics (2022)

Deep-learning (DL) noise reduction techniques in computed tomography (CT) are expected to reduce the image noise while maintaining the clinically relevant information in reduced dose acquisitions. This study aimed to assess the size, attenu...

DOAJ Open Access (DOAJ) DOI: 10.3390/diagnostics12071627

Deep learning for denoising

Siwei Yu, Jianwei Ma, Wenlong Wang • Geophysics (2019)

ABSTRACT Compared with traditional seismic noise attenuation algorithms that depend on signal models and their corresponding prior assumptions, removing noise with a deep neural network is trained based on a large training set in which the ...

OPENALEX Open Access DOI: https://doi.org/10.1190/geo2018-0668.1

Biomaterial Engineering for Spatiotemporal Regulation of Exosome Functions: From Design Principles to Key Applications in Regenerative Medicine

Shan Long, Bo Wang, Shaodong Tian, Honglan Tang et al. • Pharmaceuticals (2026)

As natural nanoscale intercellular messengers, exosomes exhibit considerable potential in modulating inflammation, angiogenesis, immunoregulation, and tissue remodeling, making them attractive candidates for regenerative medicine. However, ...

DOAJ Open Access (DOAJ) DOI: 10.3390/ph19050672