Asmaa Belaouni

Comparison of two deep learning image reconstruction algorithms in chest CT images: A task-based image quality assessment on phantom data

Joël Greffier, Julien Frandon, Salim Si‐Mohamed et al. · Diagnostic and Interventional Imaging · 2021 · 67 citations

Computed Tomography, Image Reconstruction, Image Analysis +13

Comparison of two versions of a deep learning image reconstruction algorithm on CT image quality and dose reduction: A phantom study

Joël Greffier, Djamel Dabli, Julien Frandon et al. · Medical Physics · 2021 · 55 citations

Effect of a new deep learning image reconstruction algorithm for abdominal computed tomography imaging on image quality and dose reduction compared with two iterative reconstruction algorithms: a phantom study

Joël Greffier, Djamel Dabli, Aymeric Hamard et al. · Quantitative Imaging in Medicine and Surgery · 2021 · 52 citations · Full text

Impact of dose reduction and the use of an advanced model-based iterative reconstruction algorithm on spectral performance of a dual-source CT system: A task-based image quality assessment

Joël Greffier, Djamel Dabli, Aymeric Hamard et al. · Diagnostic and Interventional Imaging · 2021 · 34 citations

Computed Tomography, Image Reconstruction, Image Analysis +13

Optimization of image quality and accuracy of low iodine concentration quantification as function of dose level and reconstruction algorithm for abdominal imaging using dual-source CT: A phantom study

Djamel Dabli, Julien Frandon, Asmaa Belaouni et al. · Diagnostic and Interventional Imaging · 2021 · 22 citations · Full text

Computed Tomography, Dose Level, Engineering +11