Improved image quality and dose reduction in abdominal CT with deep-learning reconstruction algorithm: a phantom study

Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CT

Motonori Akagi, Yuko Nakamura, Toru Higaki et al. · European Radiology · 2019 · 339 citations

Computed Tomography, Image Reconstruction, Deep Learning Reconstruction +10

Image quality and dose reduction opportunity of deep learning image reconstruction algorithm for CT: a phantom study

Joël Greffier, Aymeric Hamard, Fabrício Pereira et al. · European Radiology · 2020 · 308 citations · Full text

Computed Tomography, Image Reconstruction, Phantom Study +12

Performance evaluation of computed tomography systems: Summary of AAPM Task Group 233

Ehsan Samei, Donovan Bakalyar, Kirsten Boedeker et al. · Medical Physics · 2019 · 269 citations

Deep learning–based image restoration algorithm for coronary CT angiography

Fuminari Tatsugami, Toru Higaki, Yuko Nakamura et al. · European Radiology · 2019 · 254 citations

Image Analysis, Engineering, Medical Imaging +10

Image Quality and Lesion Detection on Deep Learning Reconstruction and Iterative Reconstruction of Submillisievert Chest and Abdominal CT

Ramandeep Singh, Subba R. Digumarthy, Victorine V. Muse et al. · American Journal of Roentgenology · 2020 · 233 citations