Radiology Effectiveness of deep learning reconstruction on standard to ultra-low-dose high-definition chest CT images. July 27, 2023
Infectious Diseases | Pulmonology | Radiology Prediction of oxygen supplementation by a deep-learning model integrating clinical parameters and chest CT images in COVID-19. July 13, 2023
Radiology Use of a deep learning algorithm for non-mass enhancement on breast MRI: comparison with radiologists’ interpretations at various levels. April 18, 2023
Radiology Deep learning-based detection of patients with bone metastasis from Japanese radiology reports. March 29, 2023
Orthopedics | Radiology Deep learning reconstruction with single-energy metal artifact reduction in pelvic computed tomography for patients with metal hip prostheses. March 2, 2023
Radiology A multidomain fusion model of radiomics and deep learning to discriminate between PDAC and AIP based on F-FDG PET/CT images. November 21, 2022
Oncology | Radiology Artificial intelligence in lung cancer: current applications and perspectives. November 9, 2022
Neurology | Radiology Detection of intracranial aneurysms using deep learning-based CAD system: usefulness of the scores of CNN’s final layer for distinguishing between aneurysm and infundibular dilatation. September 29, 2022
Gastroenterology | Radiology Validation of a convolutional neural network for the automated creation of curved planar reconstruction images along the main pancreatic duct. September 19, 2022
Pulmonology | Radiology Validation of deep learning-based computer-aided detection software use for interpretation of pulmonary abnormalities on chest radiographs and examination of factors that influence readers’ performance and final diagnosis. September 19, 2022
Oncology | Radiology Comparison of the performances of machine learning and deep learning in improving the quality of low dose lung cancer PET images. July 9, 2022
Medical Imaging | Nuclear Medicine | Radiology Trends and hot topics in radiology, nuclear medicine and medical imaging from 2011-2021: a bibliometric analysis of highly cited papers. March 28, 2022