Philippe Akessoul

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 · 68 citations

Medicine, Biomedical Engineering, Radiology +17

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 · 56 citations

Veterinary Medicine, Radiology, Biomedical Imaging +16

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 · 54 citations · Full text

Medicine, Radiology, Biomedical Imaging +16

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 · 36 citations

Veterinary Medicine, Biomedical Engineering, Radiology +17

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 · 23 citations · Full text

Medicine, Biomedical Engineering, Radiology +17