OOIR: Observatory of International Research

Papers

(The H4-Index of European Journal of Radiology is 33. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)

Article	Citations
Artificial intelligence in ultrasound	108
Deep learning–accelerated T2-weighted imaging of the prostate: Reduction of acquisition time and improvement of image quality	84
Methodology, clinical applications, and future directions of body composition analysis using computed tomography (CT) images: A review	61
Hierarchical fracture classification of proximal femur X-Ray images using a multistage Deep Learning approach	57
Compressed sensing and deep learning reconstruction for women’s pelvic MRI denoising: Utility for improving image quality and examination time in routine clinical practice	53
Pulmonary thromboembolic disease in COVID-19 patients on CT pulmonary angiography – Prevalence, pattern of disease and relationship to D-dimer	53
Neuroimaging findings of brain MRI and CT in patients with COVID-19: A systematic review and meta-analysis	51
Comparison of admission chest computed tomography and lung ultrasound performance for diagnosis of COVID-19 pneumonia in populations with different disease prevalence	51
Comparison of 68Ga-DOTA-FAPI and 18FDG PET/CT imaging modalities in the detection of liver metastases in patients with gastrointestinal system cancer	50
Computed tomography with a full FOV photon-counting detector in a clinical setting, the first experience	48
Trends in the application of deep learning networks in medical image analysis: Evolution between 2012 and 2020	48
Ultrasound findings of lung ultrasonography in COVID-19: A systematic review	48
Quality control and whole-gland, zonal and lesion annotations for the PROSTATEx challenge public dataset	46
Low-dose CT of the abdomen: Initial experience on a novel photon-counting detector CT and comparison with energy-integrating detector CT	46
Post-discharge chest CT findings and pulmonary function tests in severe COVID-19 patients	45
Radiomic Machine Learning Classifiers in Spine Bone Tumors: A Multi-Software, Multi-Scanner Study	45
Photon-counting CT: Review of initial clinical results	45
WHO classification of soft tissue tumours 2020: An update and simplified approach for radiologists	44
Chest x-ray in the COVID-19 pandemic: Radiologists’ real-world reader performance	43
Long-COVID diagnosis: From diagnostic to advanced AI-driven models	42
AI-enhanced breast imaging: Where are we and where are we heading?	40
Photon counting Detectors: Concept, technical Challenges, and clinical outlook	39
Systematic review of sarcomas radiomics studies: Bridging the gap between concepts and clinical applications?	38
CT-based deep learning radiomics analysis for evaluation of serosa invasion in advanced gastric cancer	37
The use of metaverse in fetal medicine and gynecology	37

Automatic coronary calcium scoring in chest CT using a deep neural network in direct comparison with non-contrast cardiac CT: A validation study	37
Can LI-RADS imaging features at gadoxetic acid-enhanced MRI predict aggressive features on pathology of single hepatocellular carcinoma?	36
Advanced MRI assessment of non-enhancing peritumoral signal abnormality in brain lesions	36
Artificial intelligence in computed tomography plaque characterization: A review	35
MRI based radiomics in nasopharyngeal cancer: Systematic review and perspectives using radiomic quality score (RQS) assessment	34
Diagnostic accuracy of quantitative dual-energy CT-based bone mineral density assessment in comparison to Hounsfield unit measurements using dual x-ray absorptiometry as standard of reference	34
Predictive value of CT in the short-term mortality of Coronavirus Disease 2019 (COVID-19) pneumonia in nonelderly patients: A case-control study	33
Artificial intelligence for breast ultrasound: An adjunct tool to reduce excessive lesion biopsy	33
MRI-based synthetic CT of the lumbar spine: Geometric measurements for surgery planning in comparison with CT	33