European Radiology

Article	Citations
A deep learning algorithm using CT images to screen for Corona virus disease (COVID-19)	536
Chest CT score in COVID-19 patients: correlation with disease severity and short-term prognosis	497
Artificial intelligence in radiology: 100 commercially available products and their scientific evidence	207
Radiomics in predicting treatment response in non-small-cell lung cancer: current status, challenges and future perspectives	151
A deep learning approach to characterize 2019 coronavirus disease (COVID-19) pneumonia in chest CT images	137
The sensitivity and specificity of chest CT in the diagnosis of COVID-19	123
Multi-scale and multi-parametric radiomics of gadoxetate disodium–enhanced MRI predicts microvascular invasion and outcome in patients with solitary hepatocellular carcinoma ≤ 5 cm	113
How can we combat multicenter variability in MR radiomics? Validation of a correction procedure	102
To buy or not to buy—evaluating commercial AI solutions in radiology (the ECLAIR guidelines)	99
An international survey on AI in radiology in 1,041 radiologists and radiology residents part 1: fear of replacement, knowledge, and attitude	99
Minimizing acquisition-related radiomics variability by image resampling and batch effect correction to allow for large-scale data analysis	88
Initial chest radiographs and artificial intelligence (AI) predict clinical outcomes in COVID-19 patients: analysis of 697 Italian patients	82
Chest X-ray for predicting mortality and the need for ventilatory support in COVID-19 patients presenting to the emergency department	81
Preoperative prediction for pathological grade of hepatocellular carcinoma via machine learning–based radiomics	79
From community-acquired pneumonia to COVID-19: a deep learning–based method for quantitative analysis of COVID-19 on thick-section CT scans	78
CT iterative vs deep learning reconstruction: comparison of noise and sharpness	75
Utility of sonoelastography for the evaluation of rotator cuff tendon and pertinent disorders: a systematic review and meta-analysis	75
A decade of radiomics research: are images really data or just patterns in the noise?	75
Radiomics of MRI for pretreatment prediction of pathologic complete response, tumor regression grade, and neoadjuvant rectal score in patients with locally advanced rectal cancer undergoing neoadjuvan	74
Automated detection of pulmonary embolism in CT pulmonary angiograms using an AI-powered algorithm	74
Identifying normal mammograms in a large screening population using artificial intelligence	74
Comparison of O-RADS, GI-RADS, and IOTA simple rules regarding malignancy rate, validity, and reliability for diagnosis of adnexal masses	73
Staging, recurrence and follow-up of uterine cervical cancer using MRI: Updated Guidelines of the European Society of Urogenital Radiology after revised FIGO staging 2018	73
Accelerate gas diffusion-weighted MRI for lung morphometry with deep learning	72
Prediction of breast cancer molecular subtypes on DCE-MRI using convolutional neural network with transfer learning between two centers	71

Can machine learning radiomics provide pre-operative differentiation of combined hepatocellular cholangiocarcinoma from hepatocellular carcinoma and cholangiocarcinoma to inform optimal treatment plan	69
Ultra-low-dose chest CT imaging of COVID-19 patients using a deep residual neural network	63
Automated quantification of COVID-19 severity and progression using chest CT images	61
Chest CT practice and protocols for COVID-19 from radiation dose management perspective	61
Fully automated body composition analysis in routine CT imaging using 3D semantic segmentation convolutional neural networks	61
Long-term outcomes of radiofrequency ablation for unifocal low-risk papillary thyroid microcarcinoma: a large cohort study of 414 patients	61
Prediction of tumor response via a pretreatment MRI radiomics-based nomogram in HCC treated with TACE	61
Radiomic machine learning for predicting prognostic biomarkers and molecular subtypes of breast cancer using tumor heterogeneity and angiogenesis properties on MRI	60
Introducing the Node Reporting and Data System 1.0 (Node-RADS): a concept for standardized assessment of lymph nodes in cancer	60
Pancreas image mining: a systematic review of radiomics	60
Preoperative sarcopenia is associated with poor overall survival in pancreatic cancer patients following pancreaticoduodenectomy	59
Deep learning radiomics of ultrasonography can predict response to neoadjuvant chemotherapy in breast cancer at an early stage of treatment: a prospective study	59
Radiomics analysis of 18F-Choline PET/CT in the prediction of disease outcome in high-risk prostate cancer: an explorative study on machine learning feature classification in 94 patients	58
Incorporating radiomics into clinical trials: expert consensus endorsed by the European Society of Radiology on considerations for data-driven compared to biologically driven quantitative biomarkers	58
Radiologists with MRI-based radiomics aids to predict the pelvic lymph node metastasis in endometrial cancer: a multicenter study	58
Opportunistic osteoporosis screening in multi-detector CT images using deep convolutional neural networks	58
The Lisbon Agreement on Femoroacetabular Impingement Imaging—part 1: overview	57
Applications of artificial intelligence (AI) in diagnostic radiology: a technography study	57
Deep learning–assisted prostate cancer detection on bi-parametric MRI: minimum training data size requirements and effect of prior knowledge	57
Volumetric assessment of the periablational safety margin after thermal ablation of colorectal liver metastases	56
Identification of high-risk carotid plaque with MRI-based radiomics and machine learning	56
Preoperative classification of primary and metastatic liver cancer via machine learning-based ultrasound radiomics	52
MR image-based radiomics to differentiate type Ι and type ΙΙ epithelial ovarian cancers	52
Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA	52
Which role for chest x-ray score in predicting the outcome in COVID-19 pneumonia?	51
A systematic review of radiomics in osteosarcoma: utilizing radiomics quality score as a tool promoting clinical translation	51
COVIDiag: a clinical CAD system to diagnose COVID-19 pneumonia based on CT findings	50
An international survey on AI in radiology in 1041 radiologists and radiology residents part 2: expectations, hurdles to implementation, and education	49
Radiomics signature of brain metastasis: prediction of EGFR mutation status	48
MRI-Based radiomics nomogram for differentiation of benign and malignant lesions of the parotid gland	48
Stakeholders’ perspectives on the future of artificial intelligence in radiology: a scoping review	48
Percutaneous microwave ablation of bone tumors: a systematic review	47
Identification of common and severe COVID-19: the value of CT texture analysis and correlation with clinical characteristics	46
MRI-derived PRECISE scores for predicting pathologically-confirmed radiological progression in prostate cancer patients on active surveillance	45
Clinical value of radiomics and machine learning in breast ultrasound: a multicenter study for differential diagnosis of benign and malignant lesions	45
Can artificial intelligence reduce the interval cancer rate in mammography screening?	45
Radiomics nomogram for the prediction of 2019 novel coronavirus pneumonia caused by SARS-CoV-2	45
Diagnostic accuracy of spleen stiffness to evaluate portal hypertension and esophageal varices in chronic liver disease: a systematic review and meta-analysis	45
Deep learning with convolutional neural network in the assessment of breast cancer molecular subtypes based on US images: a multicenter retrospective study	45
Prospective comparison of the diagnostic accuracy of 18F-FDG PET/MRI, MRI, CT, and bone scintigraphy for the detection of bone metastases in the initial staging of primary breast cancer patients	44
Artificial intelligence for prediction of COVID-19 progression using CT imaging and clinical data	44
Acute adrenal infarction as an incidental CT finding and a potential prognosis factor in severe SARS-CoV-2 infection: a retrospective cohort analysis on 219 patients	44
Preoperative prediction of axillary sentinel lymph node burden with multiparametric MRI-based radiomics nomogram in early-stage breast cancer	43
Deep learning–based reconstruction may improve non-contrast cerebral CT imaging compared to other current reconstruction algorithms	43
Impact of artificial intelligence support on accuracy and reading time in breast tomosynthesis image interpretation: a multi-reader multi-case study	43
MRI index lesion radiomics and machine learning for detection of extraprostatic extension of disease: a multicenter study	43
Pulmonary embolism in patients with COVID-19 and value of D-dimer assessment: a meta-analysis	43
A predictive model and scoring system combining clinical and CT characteristics for the diagnosis of COVID-19	43
Radiomics signature on dynamic contrast-enhanced MR images: a potential imaging biomarker for prediction of microvascular invasion in mass-forming intrahepatic cholangiocarcinoma	43
Lung and kidney perfusion deficits diagnosed by dual-energy computed tomography in patients with COVID-19-related systemic microangiopathy	43

Shape and texture-based radiomics signature on CT effectively discriminates benign from malignant renal masses	43
Prospective performance of clear cell likelihood scores (ccLS) in renal masses evaluated with multiparametric magnetic resonance imaging	42
COVID-19 classification of X-ray images using deep neural networks	42
Natural history of prostate cancer on active surveillance: stratification by MRI using the PRECISE recommendations in a UK cohort	42
Challenges and solutions for introducing artificial intelligence (AI) in daily clinical workflow	41
CT diagnostic reference levels based on clinical indications: results of a large-scale European survey	41
The validity, reliability, and reviewer acceptance of VI-RADS in assessing muscle invasion by bladder cancer: a multicenter prospective study	41
Diagnosis of left atrial appendage thrombus in patients with atrial fibrillation: delayed contrast-enhanced cardiac CT	41
Nomogram based on radiomics analysis of primary breast cancer ultrasound images: prediction of axillary lymph node tumor burden in patients	41
Deep learning–based metal artefact reduction in PET/CT imaging	40
Pre-treatment CT-based radiomics nomogram for predicting microsatellite instability status in colorectal cancer	40
Advanced gastric cancer: CT radiomics prediction and early detection of downstaging with neoadjuvant chemotherapy	39
Chest CT–derived pulmonary artery enlargement at the admission predicts overall survival in COVID-19 patients: insight from 1461 consecutive patients in Italy	39
CT-based radiomics stratification of tumor grade and TNM stage of clear cell renal cell carcinoma	39
T1 mapping and cardiac magnetic resonance feature tracking in mitral valve prolapse	39
Deep learning–assisted differentiation of pathologically proven atypical and typical hepatocellular carcinoma (HCC) versus non-HCC on contrast-enhanced MRI of the liver	39
Improved coronary calcification quantification using photon-counting-detector CT: an ex vivo study in cadaveric specimens	38
CT-like images based on T1 spoiled gradient-echo and ultra-short echo time MRI sequences for the assessment of vertebral fractures and degenerative bone changes of the spine	38
MRI-based radiomics signature for pretreatment prediction of pathological response to neoadjuvant chemotherapy in osteosarcoma: a multicenter study	38
Coronary calcium scoring potential of large field-of-view spectral photon-counting CT: a phantom study	38
COVID-19 pneumonia imaging follow-up: when and how? A proposition from ESTI and ESR	38
Deep learning shows good reliability for automatic segmentation and volume measurement of brain hemorrhage, intraventricular extension, and peripheral edema	37
Predicting the molecular subtype of breast cancer and identifying interpretable imaging features using machine learning algorithms	37
Fully automated prediction of liver fibrosis using deep learning analysis of gadoxetic acid–enhanced MRI	37
Diagnostic value of deep learning reconstruction for radiation dose reduction at abdominal ultra-high-resolution CT	37
Unnecessary thyroid nodule biopsy rates under four ultrasound risk stratification systems: a systematic review and meta-analysis	37
MRI radiomics features of mesorectal fat can predict response to neoadjuvant chemoradiation therapy and tumor recurrence in patients with locally advanced rectal cancer	37
Evaluation of a convolutional neural network for ovarian tumor differentiation based on magnetic resonance imaging	37
ESUR/ESUI position paper: developing artificial intelligence for precision diagnosis of prostate cancer using magnetic resonance imaging	37
Automated segmentation of kidney and renal mass and automated detection of renal mass in CT urography using 3D U-Net-based deep convolutional neural network	37
[18F]FDG uptake of axillary lymph nodes after COVID-19 vaccination in oncological PET/CT: frequency, intensity, and potential clinical impact	36
Hypoxia and perfusion in breast cancer: simultaneous assessment using PET/MR imaging	36
Performance of machine learning algorithms for glioma segmentation of brain MRI: a systematic literature review and meta-analysis	36
Imaging alternatives to colonoscopy: CT colonography and colon capsule. European Society of Gastrointestinal Endoscopy (ESGE) and European Society of Gastrointestinal and Abdominal Radiology (ESGAR) G	36
Quantitative CT radiomics-based models for prediction of haematoma expansion and poor functional outcome in primary intracerebral haemorrhage	36
Radiomics model based on shear-wave elastography in the assessment of axillary lymph node status in early-stage breast cancer	36
Improvement of late gadolinium enhancement image quality using a deep learning–based reconstruction algorithm and its influence on myocardial scar quantification	36
Deep learning in breast radiology: current progress and future directions	36
Towards reference values of pericoronary adipose tissue attenuation: impact of coronary artery and tube voltage in coronary computed tomography angiography	36
Multiparametric functional MRI and 18F-FDG-PET for survival prediction in patients with head and neck squamous cell carcinoma treated with (chemo)radiation	36
Diagnostic accuracy and interobserver variability of CO-RADS in patients with suspected coronavirus disease-2019: a multireader validation study	36
AI-based improvement in lung cancer detection on chest radiographs: results of a multi-reader study in NLST dataset	36
Cardiac CT and MRI radiomics: systematic review of the literature and radiomics quality score assessment	35
Smart chest X-ray worklist prioritization using artificial intelligence: a clinical workflow simulation	35
Radiomics-based differentiation between glioblastoma and primary central nervous system lymphoma: a comparison of diagnostic performance across different MRI sequences and machine learning techniques	35
A clinically practical radiomics-clinical combined model based on PET/CT data and nomogram predicts EGFR mutation in lung adenocarcinoma	35
Radiomics derived from dynamic contrast-enhanced MRI pharmacokinetic protocol features: the value of precision diagnosis ovarian neoplasms	35
4D flow MRI applications in congenital heart disease	35
Validation of the revised 2018 AAST-OIS classification and the CT severity index for prediction of operative management and survival in patients with blunt spleen and liver injuries	35
Inter-reader agreement of the PI-QUAL score for prostate MRI quality in the NeuroSAFE PROOF trial	35
Differential diagnosis of benign and malignant vertebral fracture on CT using deep learning	34
A comparative study of the value of amide proton transfer-weighted imaging and diffusion kurtosis imaging in the diagnosis and evaluation of breast cancer	34
Gd-EOB-DTPA-enhanced MRI radiomics to predict vessels encapsulating tumor clusters (VETC) and patient prognosis in hepatocellular carcinoma	34
Any unique image biomarkers associated with COVID-19?	33
MRI-based radiomics signature for localized prostate cancer: a new clinical tool for cancer aggressiveness prediction? Sub-study of prospective phase II trial on ultra-hypofractionated radiotherapy (A	33
Prediction of acute coronary syndrome within 3 years using radiomics signature of pericoronary adipose tissue based on coronary computed tomography angiography	33
Deep learning for the rapid automatic quantification and characterization of rotator cuff muscle degeneration from shoulder CT datasets	33
Bladder cancer: do we need contrast injection for MRI assessment of muscle invasion? A prospective multi-reader VI-RADS approach	33
How to read and review papers on machine learning and artificial intelligence in radiology: a survival guide to key methodological concepts	33
Comparison of machine learning algorithms to predict clinically significant prostate cancer of the peripheral zone with multiparametric MRI using clinical assessment categories and radiomic features	33
Deep learning reconstruction for contrast-enhanced CT of the upper abdomen: similar image quality with lower radiation dose in direct comparison with iterative reconstruction	33
Accelerated single-shot T2-weighted fat-suppressed (FS) MRI of the liver with deep learning–based image reconstruction: qualitative and quantitative comparison of image quality with conventional T2-we	33
Molecular subtyping of diffuse gliomas using magnetic resonance imaging: comparison and correlation between radiomics and deep learning	33
Radiomics using CT images for preoperative prediction of futile resection in intrahepatic cholangiocarcinoma	32
Quantitative evaluation of passive muscle stiffness by shear wave elastography in healthy individuals of different ages	32
The T2-FLAIR mismatch sign as a predictor of IDH-mutant, 1p/19q-noncodeleted lower-grade gliomas: a systematic review and diagnostic meta-analysis	32
Machine learning–based MRI texture analysis to predict occult lymph node metastasis in early-stage oral tongue squamous cell carcinoma	32
Overall survival and local recurrence following RFA, MWA, and cryoablation of very early and early HCC: a systematic review and Bayesian network meta-analysis	32
A fully automatic artificial intelligence–based CT image analysis system for accurate detection, diagnosis, and quantitative severity evaluation of pulmonary tuberculosis	32
Repeatability and reproducibility of ADC measurements: a prospective multicenter whole-body-MRI study	32
Five-year follow-up results of thermal ablation for low-risk papillary thyroid microcarcinomas: systematic review and meta-analysis	32
Comparative performance of MRI-derived PRECISE scores and delta-radiomics models for the prediction of prostate cancer progression in patients on active surveillance	32
Noise reduction approach in pediatric abdominal CT combining deep learning and dual-energy technique	31
Quantification of myocardial strain assessed by cardiovascular magnetic resonance feature tracking in healthy subjects—influence of segmentation and analysis software	31
Reporting standards for primary sclerosing cholangitis using MRI and MR cholangiopancreatography: guidelines from MR Working Group of the International Primary Sclerosing Cholangitis Study Group	31
Structured reporting in radiology: a systematic review to explore its potential	31
Impact of coronavirus disease 2019 (COVID-19) emergency on Italian radiologists: a national survey	31
LI-RADS category 5 hepatocellular carcinoma: preoperative gadoxetic acid–enhanced MRI for early recurrence risk stratification after curative resection	31
Image quality of ultralow-dose chest CT using deep learning techniques: potential superiority of vendor-agnostic post-processing over vendor-specific techniques	31
Robust performance of deep learning for automatic detection and segmentation of brain metastases using three-dimensional black-blood and three-dimensional gradient echo imaging	31

Convolutional neural network for discriminating nasopharyngeal carcinoma and benign hyperplasia on MRI	31
An MRI-based radiomics signature as a pretreatment noninvasive predictor of overall survival and chemotherapeutic benefits in lower-grade gliomas	31
Use of dental MRI for radiation-free guided dental implant planning: a prospective, in vivo study of accuracy and reliability	31
Distinguishing pancreatic cancer and autoimmune pancreatitis with in vivo tomoelastography	31
Clinical and chest CT features as a predictive tool for COVID-19 clinical progress: introducing a novel semi-quantitative scoring system	31
Magnetic resonance imaging before breast cancer surgery: results of an observational multicenter international prospective analysis (MIPA)	31
Myocardial injury detected by T1 and T2 mapping on CMR predicts subsequent cancer therapy–related cardiac dysfunction in patients with breast cancer treated by epirubicin-based chemotherapy or left-si	31
Prognostic value of myocardial extracellular volume fraction evaluation based on cardiac magnetic resonance T1 mapping with T1 long and short in hypertrophic cardiomyopathy	30
Preoperative prediction of postsurgical outcomes in mass-forming intrahepatic cholangiocarcinoma based on clinical, radiologic, and radiomics features	30
Automatic detection and classification of rib fractures based on patients’ CT images and clinical information via convolutional neural network	30
Deep learning algorithm for detection of aortic dissection on non-contrast-enhanced CT	30
Small single perivascular hepatocellular carcinoma: comparisons of radiofrequency ablation and microwave ablation by using propensity score analysis	30
The diagnostic performance of CT and MRI for detecting extranodal extension in patients with head and neck squamous cell carcinoma: a systematic review and diagnostic meta-analysis	30
Clinical utility of the Vesical Imaging-Reporting and Data System for muscle-invasive bladder cancer between radiologists and urologists based on multiparametric MRI including 3D FSE T2-weighted acqui	30
Development and validation of a preoperative CT-based radiomic nomogram to predict pathology invasiveness in patients with a solitary pulmonary nodule: a machine learning approach, multicenter, diagno	29
The use of imaging in COVID-19—results of a global survey by the International Society of Radiology	29
CT-determined resectability of borderline resectable and unresectable pancreatic adenocarcinoma following FOLFIRINOX therapy	29
Peripheral nerve sheath tumor: differentiation of malignant from benign tumors with conventional and diffusion-weighted MRI	29
Dedicated breast CT: state of the art—Part II. Clinical application and future outlook	29
Training opportunities of artificial intelligence (AI) in radiology: a systematic review	29
Diagnostic value of diffusion-weighted imaging with synthetic b-values in breast tumors: comparison with dynamic contrast-enhanced and multiparametric MRI	29
Diffusion and perfusion MRI may predict EGFR amplification and the TERT promoter mutation status of IDH-wildtype lower-grade gliomas	29
Cumulative effective dose from recurrent CT examinations in Europe: proposal for clinical guidance based on an ESR EuroSafe Imaging survey	29
A deep learning model integrating mammography and clinical factors facilitates the malignancy prediction of BI-RADS 4 microcalcifications in breast cancer screening	29
Efficacy and safety of thermal ablation for autonomously functioning thyroid nodules: a systematic review and meta-analysis	28
Quantitation of bladder cancer for the prediction of muscle layer invasion as a complement to the vesical imaging-reporting and data system	28
Radiomics based on multisequence magnetic resonance imaging for the preoperative prediction of peritoneal metastasis in ovarian cancer	28
Deep learning–based automated detection algorithm for active pulmonary tuberculosis on chest radiographs: diagnostic performance in systematic screening of asymptomatic individuals	28
Skeletal muscle mass and sarcopenia can be determined with 1.5-T and 3-T neck MRI scans, in the event that no neck CT scan is performed	28
Clinical outcomes of radiofrequency ablation for multifocal papillary thyroid microcarcinoma versus unifocal papillary thyroid microcarcinoma: a propensity-matched cohort study	28
Why did European Radiology reject my radiomic biomarker paper? How to correctly evaluate imaging biomarkers in a clinical setting	28
Chest CT for rapid triage of patients in multiple emergency departments during COVID-19 epidemic: experience report from a large French university hospital	28
Efficacy and safety of prostatic artery embolization for benign prostatic hyperplasia: a systematic review and meta-analysis of randomized controlled trials	28
Prognostic relevance of temporal muscle thickness as a marker of sarcopenia in patients with glioblastoma at diagnosis	28
Radiation dose management systems—requirements and recommendations for users from the ESR EuroSafe Imaging initiative	28
Bosniak Classification version 2019: validation and comparison to original classification in pathologically confirmed cystic masses	28
A PET/CT nomogram incorporating SUVmax and CT radiomics for preoperative nodal staging in non-small cell lung cancer	28
Accuracy of CT in a cohort of symptomatic patients with suspected COVID-19 pneumonia during the outbreak peak in Italy	28
Deep learning radiomic nomogram to predict recurrence in soft tissue sarcoma: a multi-institutional study	28
Deep learning image reconstruction algorithm for pancreatic protocol dual-energy computed tomography: image quality and quantification of iodine concentration	28
Diagnostic value of ultrasonography in acute lateral and syndesmotic ligamentous ankle injuries	27
Static 18F-FET PET and DSC-PWI based on hybrid PET/MR for the prediction of gliomas defined by IDH and 1p/19q status	27
Bi- or multiparametric MRI in a sequential screening program for prostate cancer with PSA followed by MRI? Results from the Göteborg prostate cancer screening 2 trial	27
Survival outcomes for surgical resection versus CT-guided percutaneous ablation for stage I non-small cell lung cancer (NSCLC): a systematic review and meta-analysis	27
Diagnostic performance of adult-based ATA and ACR-TIRADS ultrasound risk stratification systems in pediatric thyroid nodules: a systematic review and meta-analysis	27
Feasibility and reproducibility of T2 mapping and DWI for identifying malignant lymph nodes in rectal cancer	26
Factors associated with missed and misinterpreted cases of pancreatic ductal adenocarcinoma	26
Radiomics may increase the prognostic value for survival in glioblastoma patients when combined with conventional clinical and genetic prognostic models	26
Three-dimension amide proton transfer MRI of rectal adenocarcinoma: correlation with pathologic prognostic factors and comparison with diffusion kurtosis imaging	26
Late recurrence of hepatocellular carcinoma after radiofrequency ablation: a multicenter study of risk factors, patterns, and survival	26
Performance of different Dixon-based methods for MR liver iron assessment in comparison to a biopsy-validated R2* relaxometry method	26
Combining radiomics with ultrasound-based risk stratification systems for thyroid nodules: an approach for improving performance	26
Contrast agent dose reduction in computed tomography with deep learning using a conditional generative adversarial network	26
A clinical-radiomics nomogram may provide a personalized 90-day functional outcome assessment for spontaneous intracerebral hemorrhage	26
Simulated clinical deployment of fully automatic deep learning for clinical prostate MRI assessment	26
Determining an energy threshold for optimal volume reduction of benign thyroid nodules treated by radiofrequency ablation	26
Characterization of parotid gland tumors: added value of permeability MR imaging to DWI and DCE-MRI	26
Pre-operative radiomics model for prognostication in resectable pancreatic adenocarcinoma with external validation	25
Pelvic bone CT: can tin-filtered ultra-low-dose CT and virtual radiographs be used as alternative for standard CT and digital radiographs?	25
Comparison of image quality between spectral photon-counting CT and dual-layer CT for the evaluation of lung nodules: a phantom study	25
The relevance of CT-based geometric and radiomics analysis of whole liver tumor burden to predict survival of patients with metastatic colorectal cancer	25
Multiparameter MRI-based radiomics for preoperative prediction of extramural venous invasion in rectal cancer	25
Diffusion and perfusion MRI radiomics obtained from deep learning segmentation provides reproducible and comparable diagnostic model to human in post-treatment glioblastoma	25
Radiogenomics of neuroblastoma in pediatric patients: CT-based radiomics signature in predicting MYCN amplification	25
A preliminary investigation of radiomics differences between ruptured and unruptured intracranial aneurysms	25
Reduced-iodine-dose dual-energy coronary CT angiography: qualitative and quantitative comparison between virtual monochromatic and polychromatic CT images	25
Calcium scoring using virtual non-contrast images from a dual-layer spectral detector CT: comparison to true non-contrast data and evaluation of proportionality factor in a large patient collective	25
Real-life assessment of standardized contrast-enhanced ultrasound (CEUS) and CEUS algorithms (CEUS LI-RADS®/ESCULAP) in hepatic nodules in cirrhotic patients—a prospective multicenter study	25
MRI-based radiomics nomogram for predicting temporal lobe injury after radiotherapy in nasopharyngeal carcinoma	25
Assessment of tumor depth in oral tongue squamous cell carcinoma with multiparametric MRI: correlation with pathology	25
Deep learning algorithm to improve hypertrophic cardiomyopathy mutation prediction using cardiac cine images	25
Performance of PET imaging for the localization of epileptogenic zone in patients with epilepsy: a meta-analysis	25
Sinogram-based deep learning image reconstruction technique in abdominal CT: image quality considerations	25
MR 4D flow-based mean pulmonary arterial pressure tracking in pulmonary hypertension	25
A deep-learning model for identifying fresh vertebral compression fractures on digital radiography	24
Precision of MRI radiomics features in the liver and hepatocellular carcinoma	24
Radiomics model of dual-time 2-[18F]FDG PET/CT imaging to distinguish between pancreatic ductal adenocarcinoma and autoimmune pancreatitis	24
High-intensity focused ultrasound (HIFU) ablation versus surgical interventions for the treatment of symptomatic uterine fibroids: a meta-analysis	24
Digital breast tomosynthesis (DBT) plus synthesised two-dimensional mammography (s2D) in breast cancer screening is associated with higher cancer detection and lower recalls compared to digital mammog	24
A comparison between manual and artificial intelligence–based automatic positioning in CT imaging for COVID-19 patients	24
MRI grading for the prediction of prostate cancer aggressiveness	24
Radiologic-pathologic correlation of interstitial lung abnormalities and predictors for progression and survival	24
Interdisciplinary consensus statements on imaging of scapholunate joint instability	24
One step further into the blackbox: a pilot study of how to build more confidence around an AI-based decision system of breast nodule assessment in 2D ultrasound	24
MRI radiomics-based nomogram for individualised prediction of synchronous distant metastasis in patients with clear cell renal cell carcinoma	24
MRI in acute muscle tears in athletes: can quantitative T2 and DTI predict return to play better than visual assessment?	24
A machine learning approach to distinguish between knees without and with osteoarthritis using MRI-based radiomic features from tibial bone	24
Immune checkpoint inhibitor therapy may increase the incidence of treatment-related necrosis after stereotactic radiosurgery for brain metastases: a systematic review and meta-analysis	24
O-RADS MRI score: analysis of misclassified cases in a prospective multicentric European cohort	24
Applicability of radiomics in interstitial lung disease associated with systemic sclerosis: proof of concept	24
Deep learning to automate the labelling of head MRI datasets for computer vision applications	23
Radiomics for detecting prostate cancer bone metastases invisible in CT: a proof-of-concept study	23
A 2-year investigation of the impact of the computed tomography–derived fractional flow reserve calculated using a deep learning algorithm on routine decision-making for coronary artery disease manage	23
Combined radiomics-clinical model to predict malignancy of vertebral compression fractures on CT	23
Deep learning–based methods may minimize GBCA dosage in brain MRI	23