Radiology Pulmonary nodule volumetric accuracy of a deep learning-based reconstruction algorithm in low-dose computed tomography: A phantom study. November 8, 2022
Orthopedics | Radiology Contribution of an artificial intelligence deep-learning reconstruction algorithm for dose optimization in lumbar spine CT examination: A phantom study. September 13, 2022
Radiology A phantom study comparing low-dose CT physical image quality from five different CT scanners. January 7, 2022
Radiology Deep Learning-Based Image Conversion Improves the Reproducibility of Computed Tomography Radiomics Features: A Phantom Study. November 28, 2021
Radiology | Surgery [Object Detection Model Utilizing Deep Learning to Identify Retained Surgical Gauze in the Body on Postoperative Radiography: Phantom Study]. August 23, 2021
Radiology Dose reduction potential of vendor-agnostic deep learning model in comparison with deep learning-based image reconstruction algorithm on CT: a phantom study. August 14, 2021
Medical Physics | Radiology Addressing signal alterations induced in CT images by deep learning processing: A preliminary phantom study. March 19, 2021
Radiology Performance of clinically available deep learning image reconstruction in computed tomography: a phantom study. December 21, 2020
Radiology Task-based characterization of a deep learning image reconstruction and comparison with filtered back-projection and a partial model-based iterative reconstruction in abdominal CT: A phantom study. June 23, 2020
Radiology Influence of CT effective dose and convolution kernel on the detection of pulmonary nodules in different artificial intelligence software systems: A phantom study. March 8, 2020
Deep Learning | Medical Physics | Radiation Oncology Real-time markerless tumour tracking with patient-specific deep learning using a personalized data generation strategy: Proof of concept by phantom study. February 26, 2020
Radiology Image quality and dose reduction opportunity of deep learning image reconstruction algorithm for CT: a phantom study. February 26, 2020