Radiology Low-contrast lesion detection in neck CT: a multireader study comparing deep learning, iterative, and filtered back projection reconstructions using realistic phantoms. July 24, 2024
Medical Imaging | Radiology Sinogram upsampling using Primal-Dual UNet for undersampled CT and radial MRI reconstruction. August 21, 2023
Radiology Coronary artery calcium quantification: comparison between filtered-back projection, hybrid iterative reconstruction, and deep learning reconstruction techniques. May 21, 2023
Radiology Image quality comparison of lower extremity CTA between CT routine reconstruction algorithms and deep learning reconstruction. February 21, 2023
Radiology Deep Learning Image Reconstruction for CT: Technical Principles and Clinical Prospects. January 31, 2023
Cardiology | Radiology Performance of high-resolution CT for detection and discrimination tasks related to stenotic lesions – A phantom study using model observers. January 13, 2023
Cardiology | Radiology Systematic assessment of coronary calcium detectability and quantification on four generations of CT reconstruction techniques: a patient and phantom study. January 4, 2023
Radiology Comparative Assessment of Noise Properties for Two Deep Learning CT Image Reconstruction Techniques and Filtered Back Projection. September 1, 2022
Radiology Deep learning reconstruction allows for usage of contrast agent of lower concentration for coronary CTA than filtered back projection and hybrid iterative reconstruction. August 18, 2022
Radiology Comparison of lung CT number and airway dimension evaluation capabilities of ultra-high-resolution CT, using different scan modes and reconstruction methods including deep learning reconstruction, with those of multi-detector CT in a QIBA phantom study. July 16, 2022
Pediatrics | Radiology Comparison of a Deep Learning-Based Reconstruction Algorithm with Filtered Back Projection and Iterative Reconstruction Algorithms for Pediatric Abdominopelvic CT. June 13, 2022
Radiology A phantom study comparing low-dose CT physical image quality from five different CT scanners. January 7, 2022