European Radiology

Papers
(The H4-Index of European 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 2021-08-01 to 2025-08-01.)
ArticleCitations
Performance of radiomics models for tumour-infiltrating lymphocyte (TIL) prediction in breast cancer: the role of the dynamic contrast-enhanced (DCE) MRI phase89
Diagnostic accuracy of computed tomography angiography (CTA) for diagnosing blunt cerebrovascular injury in trauma patients: a systematic review and meta-analysis85
Sources of variation in multicenter rectal MRI data and their effect on radiomics feature reproducibility83
Correction to: Prediction for pathological and immunohistochemical characteristics of triple‑negative invasive breast carcinomas: the performance comparison between quantitative and qualitative sonogr77
Multimodality MRI-based radiomics approach to predict the posttreatment response of lung cancer brain metastases to gamma knife radiosurgery73
The added value of an artificial intelligence system in assisting radiologists on indeterminate BI-RADS 0 mammograms67
Tumor habitat analysis by magnetic resonance imaging distinguishes tumor progression from radiation necrosis in brain metastases after stereotactic radiosurgery65
Reproducible imaging-based prediction of molecular subtype and risk stratification of gliomas across different experience levels using a structured reporting system61
Spatial distribution of cerebral microbleeds reveals heterogeneous pathogenesis in CADASIL56
Editorial Comment: Radiomics analysis allows for precise prediction of silent corticotroph adenoma among non-functioning pituitary adenomas51
Improved value of whole-lesion histogram analysis on DCE parametric maps for diagnosing small breast cancer (≤ 1 cm)51
Radiomics analysis allows for precise prediction of silent corticotroph adenoma among non-functioning pituitary adenomas48
CT imaging-based approaches to cochlear duct length estimation—a human temporal bone study47
Diagnostic performance of the medial temporal lobe atrophy scale in patients with Alzheimer’s disease: a systematic review and meta-analysis44
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) Gr44
Transcholecystic management of extrahepatic duct stones in poor candidates for endoscopic or transhepatic approaches43
Prospective comparison of simultaneous [68Ga]Ga-PSMA-11 PET/MR versus PET/CT in patients with biochemically recurrent prostate cancer43
Editorial comment: advances in the evaluation of liver imaging and function with gadoxetic acid–enhanced MRI42
CT-derived fractional flow reserve (FFRct) for functional coronary artery evaluation in the follow-up of patients after heart transplantation42
Correction to: Intra-scan inter-tissue variability can help harmonize radiomics features in CT40
Editorial comment on “Diagnosing autism spectrum disorder in children using conventional MRI and apparent diffusion coefficient based deep learning algorithms”39
Prediction of recurrence after surgery based on preoperative MRI features in patients with pancreatic neuroendocrine tumors39
Effect of CT image acquisition parameters on diagnostic performance of radiomics in predicting malignancy of pulmonary nodules of different sizes38
Artificial intelligence for stepwise diagnosis and monitoring of COVID-1937
Difference in the joint space of the medial knee compartment between full extension and Rosenberg weight-bearing radiographs37
Development and validation of visual grading system for stenosis in intracranial atherosclerotic disease on time-of-flight magnetic resonance angiography37
Comparison of low-contrast detectability between uniform and anatomically realistic phantoms—influences on CT image quality assessment36
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
Association of iron rim lesions with brain and cervical cord volume in relapsing multiple sclerosis34
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
Deep learning radiomics of ultrasonography can predict response to neoadjuvant chemotherapy in breast cancer at an early stage of treatment: a prospective study33
Diffusion kurtosis imaging and dynamic contrast-enhanced MRI for the differentiation of parotid gland tumors33
Assessing the clinical performance of artificial intelligence software for prostate cancer detection on MRI33
Machine learning with multiparametric breast MRI for prediction of Ki-67 and histologic grade in early-stage luminal breast cancer33
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