European Radiology

Papers
(The H4-Index of European Radiology is 32. 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 2021-09-01 to 2025-09-01.)
ArticleCitations
Sources of variation in multicenter rectal MRI data and their effect on radiomics feature reproducibility90
Correction to: Prediction for pathological and immunohistochemical characteristics of triple‑negative invasive breast carcinomas: the performance comparison between quantitative and qualitative sonogr88
Diagnostic accuracy of computed tomography angiography (CTA) for diagnosing blunt cerebrovascular injury in trauma patients: a systematic review and meta-analysis84
The added value of an artificial intelligence system in assisting radiologists on indeterminate BI-RADS 0 mammograms79
Multimodality MRI-based radiomics approach to predict the posttreatment response of lung cancer brain metastases to gamma knife radiosurgery73
Improved value of whole-lesion histogram analysis on DCE parametric maps for diagnosing small breast cancer (≤ 1 cm)68
Editorial Comment: Radiomics analysis allows for precise prediction of silent corticotroph adenoma among non-functioning pituitary adenomas67
Diagnostic performance of the medial temporal lobe atrophy scale in patients with Alzheimer’s disease: a systematic review and meta-analysis65
Image-guided thermal ablation in autonomously functioning thyroid nodules. A retrospective multicenter three-year follow-up study from the Italian Minimally Invasive Treatment of the Thyroid (MITT) Gr52
Radiomics analysis allows for precise prediction of silent corticotroph adenoma among non-functioning pituitary adenomas48
Spatial distribution of cerebral microbleeds reveals heterogeneous pathogenesis in CADASIL47
Transcholecystic management of extrahepatic duct stones in poor candidates for endoscopic or transhepatic approaches45
CT-derived fractional flow reserve (FFRct) for functional coronary artery evaluation in the follow-up of patients after heart transplantation44
Prediction of recurrence after surgery based on preoperative MRI features in patients with pancreatic neuroendocrine tumors43
Correction to: Intra-scan inter-tissue variability can help harmonize radiomics features in CT43
Editorial comment on “Diagnosing autism spectrum disorder in children using conventional MRI and apparent diffusion coefficient based deep learning algorithms”42
Difference in the joint space of the medial knee compartment between full extension and Rosenberg weight-bearing radiographs40
Effect of CT image acquisition parameters on diagnostic performance of radiomics in predicting malignancy of pulmonary nodules of different sizes39
Artificial intelligence for stepwise diagnosis and monitoring of COVID-1938
Development and validation of visual grading system for stenosis in intracranial atherosclerotic disease on time-of-flight magnetic resonance angiography38
Comparison of low-contrast detectability between uniform and anatomically realistic phantoms—influences on CT image quality assessment35
Dual-energy CT may predict post-operative recurrence in early-stage glottic laryngeal cancer: a novel nomogram and risk stratification system35
Radiation dose reduction with deep-learning image reconstruction for coronary computed tomography angiography34
Deep learning radiomics of ultrasonography can predict response to neoadjuvant chemotherapy in breast cancer at an early stage of treatment: a prospective study34
Assessing the clinical performance of artificial intelligence software for prostate cancer detection on MRI33
Radiomics for detecting prostate cancer bone metastases invisible in CT: a proof-of-concept study33
Association of iron rim lesions with brain and cervical cord volume in relapsing multiple sclerosis33
Reduced magnetic resonance angiography signal intensity in the middle cerebral artery ipsilateral to severe carotid stenosis may be a practical index of high oxygen extraction fraction33
Diffusion kurtosis imaging and dynamic contrast-enhanced MRI for the differentiation of parotid gland tumors33
Accuracy of fractal analysis and PI-RADS assessment of prostate magnetic resonance imaging for prediction of cancer grade groups: a clinical validation study33
Application of diffusion-weighted whole-body MRI for response monitoring in multiple myeloma after chemotherapy: a systematic review and meta-analysis32
Do plaque-related factors affect the diagnostic performance of an artificial intelligence coronary-assisted diagnosis system? Comparison with invasive coronary angiography32
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