OOIR: Observatory of International Research

Papers

(The H4-Index of European Journal of Radiology is 36. 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 2020-04-01 to 2024-04-01.)

Article	Citations
Diagnosis of the Coronavirus disease (COVID-19): rRT-PCR or CT?	656
Chest CT findings of COVID-19 pneumonia by duration of symptoms	196
Deep learning-based multi-view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study	190
CT manifestations of coronavirus disease-2019: A retrospective analysis of 73 cases by disease severity	161
A review of original articles published in the emerging field of radiomics	101
High-resolution computed tomography manifestations of COVID-19 infections in patients of different ages	83
Early CT features and temporal lung changes in COVID-19 pneumonia in Wuhan, China	80
Prostate MRI radiomics: A systematic review and radiomic quality score assessment	80
The prognostic value of pneumonia severity score and pectoralis muscle Area on chest CT in adult COVID-19 patients	77
Artificial intelligence in ultrasound	76
Deep learning–accelerated T2-weighted imaging of the prostate: Reduction of acquisition time and improvement of image quality	75
Differential Diagnosis of Benign and Malignant Thyroid Nodules Using Deep Learning Radiomics of Thyroid Ultrasound Images	56
Asymptomatic SARS-CoV-2 infected patients with persistent negative CT findings	54
MRI radiomics-based machine-learning classification of bone chondrosarcoma	53
Pulmonary thromboembolic disease in COVID-19 patients on CT pulmonary angiography – Prevalence, pattern of disease and relationship to D-dimer	52
Chest CT accuracy in diagnosing COVID-19 during the peak of the Italian epidemic: A retrospective correlation with RT-PCR testing and analysis of discordant cases	50
Neuroimaging findings of brain MRI and CT in patients with COVID-19: A systematic review and meta-analysis	47
Comparison of admission chest computed tomography and lung ultrasound performance for diagnosis of COVID-19 pneumonia in populations with different disease prevalence	47
Imaging of coronavirus disease 2019: A Chinese expert consensus statement	46
Detection and localization of distal radius fractures: Deep learning system versus radiologists	45
Hierarchical fracture classification of proximal femur X-Ray images using a multistage Deep Learning approach	45
Multimodality imaging of COVID-19 pneumonia: from diagnosis to follow-up. A comprehensive review	45
Compressed sensing and deep learning reconstruction for women’s pelvic MRI denoising: Utility for improving image quality and examination time in routine clinical practice	43
Thyroid cancer neck lymph nodes metastasis: Meta-analysis of US and CT diagnosis	42
Computed tomography with a full FOV photon-counting detector in a clinical setting, the first experience	41

Chest x-ray in the COVID-19 pandemic: Radiologists’ real-world reader performance	41
Ultrasound findings of lung ultrasonography in COVID-19: A systematic review	40
Radiomic Machine Learning Classifiers in Spine Bone Tumors: A Multi-Software, Multi-Scanner Study	40
Methodology, clinical applications, and future directions of body composition analysis using computed tomography (CT) images: A review	39
Comparison of 68Ga-DOTA-FAPI and 18FDG PET/CT imaging modalities in the detection of liver metastases in patients with gastrointestinal system cancer	39
Quality control and whole-gland, zonal and lesion annotations for the PROSTATEx challenge public dataset	39
Traction Bronchiectasis/Bronchiolectasis is Associated with Interstitial Lung Abnormality Mortality	39
Role of computed tomography in predicting critical disease in patients with covid-19 pneumonia: A retrospective study using a semiautomatic quantitative method	39
Radiomics nomogram for preoperative differentiation of lung tuberculoma from adenocarcinoma in solitary pulmonary solid nodule	38
COVID-19 pneumonia: Diagnostic and prognostic role of CT based on a retrospective analysis of 214 consecutive patients from Paris, France	38
Post-discharge chest CT findings and pulmonary function tests in severe COVID-19 patients	37