Advancing Preclinical and AI-Driven Imaging with our Work presented at SPIE Medical Imaging 2025:
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Development of a virtual photon-counting micro-CT imaging platform for preclinical cancer studies
Nadkarni R, Clark D, Allphin A, Qi Y, Mowery Y, Segars W, Badea CT.
Presented on April 8, 2025.
https://doi.org/10.1117/12.3047047 -
A deep-learning reconstruction framework for low-dose, dynamic x-ray CT
Clark D, Badea CT.
Presented on April 8, 2025.
https://doi.org/10.1117/12.3047120 -
Deep-learning micro-CT perfusion quantification
Allphin A, Nadkarni R, Clark D, Badea CT.
Presented on April 8, 2025.
https://doi.org/10.1117/12.3047483 -
A perfusion phantom for dynamic micro-CT imaging
Allphin A, Badea A, Clark D, Badea CT.
Presented on April 8, 2025.
https://doi.org/10.1117/12.3047282 -
High-resolution micro-CT imaging protocols for studies of intracranial aneurysms in murine models
Badea CT, Chaparro E, Mace B, Allphin A, Nadkarni R, Han Z, Qi Y, Clark D, Hasan D.
Presented on April 2, 2025.
https://doi.org/10.1117/12.3046744 -
Quantitative comparison of femurs in apolipoprotein E mouse models using high-resolution photon-counting micro-CT
Nadkarni R, Han Z, Allphin A, Clark D, Badea A, Badea CT.
Presented on April 2, 2025.
https://doi.org/10.1117/12.3047137 -
Exploring VivoVist™ for ex vivo micro-CT imaging of mouse vasculature
Badea CT, Nadkarni R, Allphin A, Qi Y, Clark D, Hainfeld J.
Presented on April 2, 2025.
https://doi.org/10.1117/12.3046768
