European Journal of Radiology

Papers
(The TQCC of European Journal of Radiology is 8. 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 2020-05-01 to 2024-05-01.)
ArticleCitations
Diagnosis of the Coronavirus disease (COVID-19): rRT-PCR or CT?659
Chest CT findings of COVID-19 pneumonia by duration of symptoms197
Deep learning-based multi-view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study193
CT manifestations of coronavirus disease-2019: A retrospective analysis of 73 cases by disease severity164
A review of original articles published in the emerging field of radiomics102
High-resolution computed tomography manifestations of COVID-19 infections in patients of different ages84
Artificial intelligence in ultrasound84
Prostate MRI radiomics: A systematic review and radiomic quality score assessment82
Early CT features and temporal lung changes in COVID-19 pneumonia in Wuhan, China81
The prognostic value of pneumonia severity score and pectoralis muscle Area on chest CT in adult COVID-19 patients78
Deep learning–accelerated T2-weighted imaging of the prostate: Reduction of acquisition time and improvement of image quality78
Differential Diagnosis of Benign and Malignant Thyroid Nodules Using Deep Learning Radiomics of Thyroid Ultrasound Images57
MRI radiomics-based machine-learning classification of bone chondrosarcoma54
Asymptomatic SARS-CoV-2 infected patients with persistent negative CT findings54
Pulmonary thromboembolic disease in COVID-19 patients on CT pulmonary angiography – Prevalence, pattern of disease and relationship to D-dimer52
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 cases52
Neuroimaging findings of brain MRI and CT in patients with COVID-19: A systematic review and meta-analysis49
Hierarchical fracture classification of proximal femur X-Ray images using a multistage Deep Learning approach47
Imaging of coronavirus disease 2019: A Chinese expert consensus statement47
Comparison of admission chest computed tomography and lung ultrasound performance for diagnosis of COVID-19 pneumonia in populations with different disease prevalence47
Compressed sensing and deep learning reconstruction for women’s pelvic MRI denoising: Utility for improving image quality and examination time in routine clinical practice47
Detection and localization of distal radius fractures: Deep learning system versus radiologists46
Multimodality imaging of COVID-19 pneumonia: from diagnosis to follow-up. A comprehensive review45
Thyroid cancer neck lymph nodes metastasis: Meta-analysis of US and CT diagnosis44
Computed tomography with a full FOV photon-counting detector in a clinical setting, the first experience42
Methodology, clinical applications, and future directions of body composition analysis using computed tomography (CT) images: A review42
Comparison of 68Ga-DOTA-FAPI and 18FDG PET/CT imaging modalities in the detection of liver metastases in patients with gastrointestinal system cancer42
Chest x-ray in the COVID-19 pandemic: Radiologists’ real-world reader performance41
Radiomic Machine Learning Classifiers in Spine Bone Tumors: A Multi-Software, Multi-Scanner Study41
Traction Bronchiectasis/Bronchiolectasis is Associated with Interstitial Lung Abnormality Mortality40
Post-discharge chest CT findings and pulmonary function tests in severe COVID-19 patients40
Ultrasound findings of lung ultrasonography in COVID-19: A systematic review40
Quality control and whole-gland, zonal and lesion annotations for the PROSTATEx challenge public dataset40
Trends in the application of deep learning networks in medical image analysis: Evolution between 2012 and 202039
Role of computed tomography in predicting critical disease in patients with covid-19 pneumonia: A retrospective study using a semiautomatic quantitative method39
COVID-19 pneumonia: Diagnostic and prognostic role of CT based on a retrospective analysis of 214 consecutive patients from Paris, France38
AI-enhanced breast imaging: Where are we and where are we heading?38
Radiomics nomogram for preoperative differentiation of lung tuberculoma from adenocarcinoma in solitary pulmonary solid nodule38
Machine learning-based radiomics analysis in predicting the meningioma grade using multiparametric MRI38
Artificial intelligence from A to Z: From neural network to legal framework37
Long-COVID diagnosis: From diagnostic to advanced AI-driven models37
WHO classification of soft tissue tumours 2020: An update and simplified approach for radiologists36
Impact of adding breast density to breast cancer risk models: A systematic review35
Systematic review of sarcomas radiomics studies: Bridging the gap between concepts and clinical applications?35
CT-based deep learning radiomics analysis for evaluation of serosa invasion in advanced gastric cancer34
Advanced MRI assessment of non-enhancing peritumoral signal abnormality in brain lesions33
Pediatric chest x-ray in covid-19 infection33
Iodine contrast-to-noise ratio improvement at unit dose and contrast media volume reduction in whole-body photon-counting CT33
Predictive value of CT in the short-term mortality of Coronavirus Disease 2019 (COVID-19) pneumonia in nonelderly patients: A case-control study32
Automatic coronary calcium scoring in chest CT using a deep neural network in direct comparison with non-contrast cardiac CT: A validation study32
Validation of a fully automated liver segmentation algorithm using multi-scale deep reinforcement learning and comparison versus manual segmentation31
Diagnostic performance of LI-RADS for MRI and CT detection of HCC: A systematic review and diagnostic meta-analysis31
Low-dose CT of the abdomen: Initial experience on a novel photon-counting detector CT and comparison with energy-integrating detector CT31
Technological developments of X-ray computed tomography over half a century: User’s influence on protocol optimization31
Photon counting Detectors: Concept, technical Challenges, and clinical outlook31
MRI based radiomics in nasopharyngeal cancer: Systematic review and perspectives using radiomic quality score (RQS) assessment31
Artificial intelligence for breast ultrasound: An adjunct tool to reduce excessive lesion biopsy31
Can LI-RADS imaging features at gadoxetic acid-enhanced MRI predict aggressive features on pathology of single hepatocellular carcinoma?31
Evaluation of effects of aging on skeletal muscle elasticity using shear wave elastography30
Development and external validation of an MRI-based radiomics nomogram for pretreatment prediction for early relapse in osteosarcoma: A retrospective multicenter study30
Deep learning analysis provides accurate COVID-19 diagnosis on chest computed tomography29
A Radiomics nomogram for predicting bone metastasis in newly diagnosed prostate cancer patients29
Diagnostic impact of bedside chest X-ray features of 2019 novel coronavirus in the routine admission at the emergency department: case series from Lombardy region28
Artificial intelligence in computed tomography plaque characterization: A review28
2D and 3D texture analysis to predict lymphovascular invasion in lung adenocarcinoma28
Spectrum of chest computed tomographic (CT) findings in coronavirus disease-19 (COVID-19) patients in India28
Advanced diffusion weighted imaging of the prostate: Comparison of readout-segmented multi-shot, parallel-transmit and single-shot echo-planar imaging28
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 reference28
Imaging findings of immune checkpoint inhibitor associated pancreatitis27
FAP-specific PET signaling shows a moderately positive correlation with relative CBV and no correlation with ADC in 13 IDH wildtype glioblastomas27
A multi-center study of COVID-19 patient prognosis using deep learning-based CT image analysis and electronic health records27
Meta-analysis of brain gray matter changes in chronic smokers27
The use of metaverse in fetal medicine and gynecology27
3D MRI with CT-like bone contrast – An overview of current approaches and practical clinical implementation27
MRI-based synthetic CT of the lumbar spine: Geometric measurements for surgery planning in comparison with CT26
Image texture, low contrast liver lesion detectability and impact on dose: Deep learning algorithm compared to partial model-based iterative reconstruction26
An MRI-based decision tree to distinguish lipomas and lipoma variants from well-differentiated liposarcoma of the extremity and superficial trunk: Classification and regression tree (CART) analysis26
Mid-term response assessment in multiple myeloma using a texture analysis approach on dual energy-CT-derived bone marrow images — A proof of principle study26
Systematic review of reproductive outcomes after High Intensity Focused Ultrasound treatment of uterine fibroids26
Artificial intelligence assistance improves reporting efficiency of thoracic aortic aneurysm CT follow-up26
Image quality and dose exposure of contrast-enhanced abdominal CT on a 1st generation clinical dual-source photon-counting detector CT in obese patients vs. a 2nd generation dual-source dual energy in25
Texture analysis imaging “what a clinical radiologist needs to know”25
Radiology department strategies to protect radiologic technologists against COVID19: Experience from Wuhan25
Radiomic differentiation of breast cancer molecular subtypes using pre-operative breast imaging – A systematic review and meta-analysis25
A review of optical breast imaging: Multi-modality systems for breast cancer diagnosis25
Magnetic resonance imaging features for predicting axillary lymph node metastasis in patients with breast cancer25
Can CT performed in the early disease phase predict outcome of patients with COVID 19 pneumonia? Analysis of a cohort of 64 patients from Germany25
Artificial intelligence in medical imaging: Game over for radiologists?25
Body composition on low dose chest CT is a significant predictor of poor clinical outcome in COVID-19 disease - A multicenter feasibility study25
The role of APT imaging in gliomas grading: A systematic review and meta-analysis25
Imaging for detection of osteomyelitis in people with diabetic foot ulcers: A systematic review and meta-analysis25
Development and clinical implementation of tailored image analysis tools for COVID-19 in the midst of the pandemic: The synergetic effect of an open, clinically embedded software development platform 24
Post-Contrast 3D Inversion Recovery Magnetic Resonance Neurography for Evaluation of Branch Nerves of the Brachial Plexus24
Evaluation of penetrating abdominal and pelvic trauma24
Comparison of diagnostic accuracy of ACR-TIRADS, American Thyroid Association (ATA), and EU-TIRADS guidelines in detecting thyroid malignancy24
Contrast-enhanced mammography in breast cancer screening24
Multi-classifier-based identification of COVID-19 from chest computed tomography using generalizable and interpretable radiomics features24
Feasibility of automatic measurements of hip joints based on pelvic radiography and a deep learning algorithm24
Bosniak classification of cystic renal masses version 2019 does not increase the interobserver agreement or the proportion of masses categorized into lower Bosniak classes for non-subspecialized reade24
Application of artificial intelligence in cardiac CT: From basics to clinical practice24
Radiomics features based on automatic segmented MRI images: Prognostic biomarkers for triple-negative breast cancer treated with neoadjuvant chemotherapy23
How fast can we scan patients with modern (digital) PET/CT systems?23
The effect of deep convolutional neural networks on radiologists' performance in the detection of hip fractures on digital pelvic radiographs23
Mean apparent propagator-MRI: A new diffusion model which improves temporal lobe epilepsy lateralization23
Pituitary adenoma consistency: Direct correlation of ultrahigh field 7T MRI with histopathological analysis23
The role of imaging in the management of renal masses23
Diagnostic accuracy of MRI with metal artifact reduction for the detection of periprosthetic joint infection and aseptic loosening of total hip arthroplasty23
Diagnostic performance between MR amide proton transfer (APT) and diffusion kurtosis imaging (DKI) in glioma grading and IDH mutation status prediction at 3 T23
Comparison of reduced field-of-view diffusion-weighted imaging (DWI) and conventional DWI techniques in the assessment of Cervical carcinoma at 3.0T: Image quality and FIGO staging22
Can magnetic resonance imaging radiomics of the pancreas predict postoperative pancreatic fistula?22
Serial CT features in discharged COVID-19 patients with positive RT-PCR re-test22
Deep learning combined with radiomics may optimize the prediction in differentiating high-grade lung adenocarcinomas in ground glass opacity lesions on CT scans22
Inter-reader agreement of the Prostate Imaging Quality (PI-QUAL) score: A bicentric study22
Prostate cancer local staging using biparametric MRI: assessment and comparison with multiparametric MRI22
Diagnostic accuracy of axillary staging by ultrasound in early breast cancer patients22
Relaxation-compensated CEST (chemical exchange saturation transfer) imaging in breast cancer diagnostics at 7T22
Machine learning with magnetic resonance imaging for prediction of response to neoadjuvant chemotherapy in breast cancer: A systematic review and meta-analysis22
Measurement variations of MRI and CT in the assessment of tumor depth of invasion in oral cancer: A retrospective study22
Combined texture analysis and machine learning in suspicious calcifications detected by mammography: Potential to avoid unnecessary stereotactical biopsies22
Application of the Kaiser score to increase diagnostic accuracy in equivocal lesions on diagnostic mammograms referred for MR mammography22
Impact of PI-QUAL on PI-RADS and cancer yield in an MRI-TRUS fusion biopsy population22
Deep learning-based automated detection of pulmonary embolism on CT pulmonary angiograms: No significant effects on report communication times and patient turnaround in the emergency department nine m21
Evaluation of average glandular dose and investigation of the relationship with compressed breast thickness in dual energy contrast enhanced digital mammography and digital breast tomosynthesis21
Predicting local tumour progression after ablation for colorectal liver metastases: CT-based radiomics of the ablation zone21
Artificial intelligence to assess body composition on routine abdominal CT scans and predict mortality in pancreatic cancer– A recipe for your local application21
Deep learning evaluation of pelvic radiographs for position, hardware presence, and fracture detection21
A radiomics-based model for prediction of lymph node metastasis in gastric cancer21
Comparison of the diagnostic accuracy of diffusion-weighted and dynamic contrast-enhanced MRI with 18F-FDG PET/CT to differentiate osteomyelitis from Charcot neuro-osteoarthropathy in diabetic foot21
Geometric 3D analyses of the foot and ankle using weight-bearing and non weight-bearing cone-beam CT images: The new standard?21
A systematic review on the use of explainability in deep learning systems for computer aided diagnosis in radiology: Limited use of explainable AI?21
IDH1 mutation prediction using MR-based radiomics in glioblastoma: comparison between manual and fully automated deep learning-based approach of tumor segmentation21
Early diagnosis of chemotherapy-induced cardiotoxicity by cardiac MRI21
Quality assessment of meningioma radiomics studies: Bridging the gap between exploratory research and clinical applications21
Socio-economic and psychological impact of the COVID-19 outbreak on private practice and public hospital radiologists21
A CT-based radiomics nomogram for predicting early recurrence in patients with high-grade serous ovarian cancer21
Altered in vivo brain GABA and glutamate levels are associated with multiple sclerosis central fatigue20
Preoperative ultrasound-based radiomics score can improve the accuracy of the Memorial Sloan Kettering Cancer Center nomogram for predicting sentinel lymph node metastasis in breast cancer20
Trend in radiologist workload compared to number of admissions in the emergency department20
Multicentre prospective study of drug-eluting bead chemoembolisation safety using tightly calibrated small microspheres in non-resectable hepatocellular carcinoma20
Cost-effectiveness of MR-mammography vs. conventional mammography in screening patients at intermediate risk of breast cancer - A model-based economic evaluation20
Machine learning for lung CT texture analysis: Improvement of inter-observer agreement for radiological finding classification in patients with pulmonary diseases20
Deep learning powered coronary CT angiography for detecting obstructive coronary artery disease: The effect of reader experience, calcification and image quality20
Diagnosing uterine cervical cancer on a single T2-weighted image: Comparison between deep learning versus radiologists20
Correlation between lung ultrasound and chest CT patterns with estimation of pulmonary burden in COVID-19 patients20
Detection and PI-RADS classification of focal lesions in prostate MRI: Performance comparison between a deep learning-based algorithm (DLA) and radiologists with various levels of experience20
Histogram analysis of quantitative parameters from synthetic MRI: Correlations with prognostic factors and molecular subtypes in invasive ductal breast cancer20
Ultra-low-dose CT combined with noise reduction techniques for quantification of emphysema in COPD patients: An intra-individual comparison study with standard-dose CT19
Radiomic features of magnetic resonance images as novel preoperative predictive factors of bone invasion in meningiomas19
Contrast enhanced mammography (CEM) versus magnetic resonance imaging (MRI) for staging of breast cancer: The pro CEM perspective19
T2-FLAIR mismatch sign in dysembryoplasticneuroepithelial tumor19
Photon-counting CT: Review of initial clinical results19
Patient communication in radiology: Moving up the agenda19
Machine-learning-based computed tomography radiomic analysis for histologic subtype classification of thymic epithelial tumours19
Classification of renal tumour using convolutional neural networks to detect oncocytoma19
Assessment of hepatic steatosis based on virtual non-contrast computed tomography: Initial experiences with a photon counting scanner approved for clinical use19
Impact of 18F-FDG PET/MR on therapeutic management in high risk primary breast cancer patients – A prospective evaluation of staging algorithms19
CT protocols and radiation doses for hematuria and urinary stones: Comparing practices in 20 countries18
CT calcification patterns of peripheral arteries in patients without known peripheral arterial disease18
Visualization of the morphology and pathology of the peripheral branches of the cranial nerves using three-dimensional high-resolution high-contrast magnetic resonance neurography18
Improved outcome prediction of oropharyngeal cancer by combining clinical and MRI features in machine learning models18
MRI radiomics: A machine learning approach for the risk stratification of endometrial cancer patients18
Radiomics nomogram for preoperative prediction of progression-free survival using diffusion-weighted imaging in patients with muscle-invasive bladder cancer18
A meta-analysis of MRI-based radiomic features for predicting lymph node metastasis in patients with cervical cancer18
Effect of deep learning image reconstruction in the prediction of resectability of pancreatic cancer: Diagnostic performance and reader confidence18
Fully automatic framework for comprehensive coronary artery calcium scores analysis on non-contrast cardiac-gated CT scan: Total and vessel-specific quantifications18
Prediction of post-hepatectomy liver failure using gadoxetic acid-enhanced magnetic resonance imaging for hepatocellular carcinoma with portal vein invasion18
Radiological response to nivolumab in patients with hepatocellular carcinoma: A multicenter analysis of real-life practice18
Colorectal liver metastases: ADC as an imaging biomarker of tumor behavior and therapeutic response18
Magnetic resonance elastography vs. point shear wave ultrasound elastography for the assessment of renal allograft dysfunction18
Convolutional neural network performance compared to radiologists in detecting intracranial hemorrhage from brain computed tomography: A systematic review and meta-analysis18
Evaluating body composition by combining quantitative spectral detector computed tomography and deep learning-based image segmentation18
Preoperative MR imaging for predicting early recurrence of solitary hepatocellular carcinoma without microvascular invasion18
Heterogeneity of bone metastases as an important prognostic factor in patients affected by oestrogen receptor-positive breast cancer. The role of combined [18F]Fluoroestradiol PET/CT and [18F]Fluorode18
Prognostic value of CT integrated with clinical and laboratory data during the first peak of the COVID-19 pandemic in Northern Italy: A nomogram to predict unfavorable outcome18
A CT-based deep learning model for predicting the nuclear grade of clear cell renal cell carcinoma18
A new approach to breast cancer terminology based on the anatomic site of tumour origin: The importance of radiologic imaging biomarkers17
Performance of artificial intelligence-based coronary artery calcium scoring in non-gated chest CT17
Opportunistic screening for osteoporosis and osteopenia by routine computed tomography scan: A heterogeneous, multiethnic, middle-eastern population validation study17
Automatic detection of brain metastases on contrast-enhanced CT with deep-learning feature-fused single-shot detectors17
Differentiating high-grade glioma recurrence from pseudoprogression: Comparing diffusion kurtosis imaging and diffusion tensor imaging17
Rectal preparation significantly improves prostate imaging quality: Assessment of the PI-QUAL score with visual grading characteristics17
Primary application of mean apparent propagator-MRI diffusion model in the grading of diffuse glioma17
Hepatic fibrosis grading with extracellular volume fraction from iodine mapping in spectral liver CT17
Assessment of image quality in photon-counting detector computed tomography of the wrist – An ex vivo study17
Decreased tissue stiffness in glioblastoma by MR elastography is associated with increased cerebral blood flow17
Magnetic resonance imaging of salivary gland tumours: Key findings for imaging characterisation17
Deep learning reconstruction of equilibrium phase CT images in obese patients17
Pre-treatment intravoxel incoherent motion diffusion-weighted imaging predicts treatment outcome in nasopharyngeal carcinoma17
Feasibility of MRI-based radiomics features for predicting lymph node metastases and VEGF expression in cervical cancer17
Detection and vascular territorial classification of stroke on diffusion-weighted MRI by deep learning17
Development and external validation of a non-invasive molecular status predictor of chromosome 1p/19q co-deletion based on MRI radiomics analysis of Low Grade Glioma patients17
Diagnostic accuracy of color-coded virtual noncalcium dual-energy CT for the assessment of bone marrow edema in sacral insufficiency fracture in comparison to MRI17
Effect of CT reconstruction settings on the performance of a deep learning based lung nodule CAD system17
Radiation dose reduction, improved isocenter accuracy and CT scan time savings with automatic patient positioning by a 3D camera17
Imaging the facial nerve: A contemporary review of anatomy and pathology17
Chest computed tomography improvement in patients with cystic fibrosis treated with elexacaftor-tezacaftor-ivacaftor: Early report17
Breast imaging: Beyond the detection17
Comparison of metal artifact reduction using single-energy CT and dual-energy CT with various metallic implants in cadavers17
Prediction of pathological prognostic factors of rectal cancer by relaxation maps from synthetic magnetic resonance imaging16
Impact of CT-based body composition parameters at baseline, their early changes and response in metastatic cancer patients treated with immune checkpoint inhibitors16
Overview and recent advances in PET/CT imaging in lymphoma and multiple myeloma16
Impact of prostate imaging quality (PI-QUAL) score on the detection of clinically significant prostate cancer at biopsy16
Ultra-high resolution photon-counting coronary CT angiography improves coronary stenosis quantification over a wide range of heart rates – A dynamic phantom study16
Deep learning-accelerated T2-weighted imaging of the prostate: Impact of further acceleration with lower spatial resolution on image quality16
Arterial calcification and long-term outcome in chronic limb-threatening ischemia patients16
Aberrant dynamic functional network connectivity in cirrhotic patients without overt hepatic encephalopathy16
PSMA PET/CT vs. CT alone in newly diagnosed biochemical recurrence of prostate cancer after radical prostatectomy: Comparison of detection rates and therapeutic implications16
Radiomics diagnosed histopathological growth pattern in prediction of response and 1-year progression free survival for colorectal liver metastases patients treated with bevacizumab containing chemoth16
Application value of conventional ultrasound and real-time shear wave elastography in patients with type 2 diabetic polyneuropathy16
Imaging and treatment of brain tumors through molecular targeting: Recent clinical advances16
Texture feature-based machine learning classifier could assist in the diagnosis of COVID-1916
Diffusion-weighted imaging of the abdomen using echo planar imaging with compressed SENSE: Feasibility, image quality, and ADC value evaluation16
Photon-counting detector CT improves quality of arterial phase abdominal scans: A head-to-head comparison with energy-integrating CT16
Noninvasive assessment of liver fibrosis by dual-layer spectral detector CT16
A systematic review and data synthesis of longitudinal changes in white matter integrity after mild traumatic brain injury assessed by diffusion tensor imaging in adults16
Tumor segmentation analysis at different post-contrast time points: A possible source of variability of quantitative DCE-MRI parameters in locally advanced breast cancer16
Application of deep learning as a noninvasive tool to differentiate muscle-invasive bladder cancer and non–muscle-invasive bladder cancer with CT16
Use of CT radiomics to differentiate minimally invasive adenocarcinomas and invasive adenocarcinomas presenting as pure ground-glass nodules larger than 10 mm16
Predictors and patterns of recurrence after radiofrequency ablation for hepatocellular carcinoma within up-to-seven criteria: A multicenter retrospective study15
Clinical feasibility of accelerated diffusion weighted imaging of the abdomen with deep learning reconstruction: Comparison with conventional diffusion weighted imaging15
Diagnostic performance of the Kaiser score for characterizing lesions on breast MRI with comparison to a multiparametric classification system15
Influence of CT effective dose and convolution kernel on the detection of pulmonary nodules in different artificial intelligence software systems: A phantom study15
Texture analysis in the characterization of parotid salivary gland lesions: A study on MR diffusion weighted imaging15
Prediction of the human papillomavirus status in patients with oropharyngeal squamous cell carcinoma by FDG-PET imaging dataset using deep learning analysis: A hypothesis-generating study15
Iron deposition in Parkinsonisms: A Quantitative Susceptibility Mapping study in the deep grey matter15
Management of breast lesions seen on US images: dual-model radiomics including shear-wave elastography may match performance of expert radiologists15
Application of bi-planar reduced field-of-view DWI (rFOV DWI) in the assessment of muscle-invasiveness of bladder cancer15
Pericoronary adipose tissue CT attenuation and volume: Diagnostic performance for hemodynamically significant stenosis in patients with suspected coronary artery disease15
Complications of transjugular intrahepatic portosystemic shunt (TIPS) in the era of the stent graft – What the interventionists need to know?15
68Ga-PSMA PET/MRI for the diagnosis of primary and biochemically recurrent prostate cancer: A meta-analysis15
Preoperative prediction of clinically relevant postoperative pancreatic fistula after pancreaticoduodenectomy15
Texture analysis and machine learning to predict water T2 and fat fraction from non-quantitative MRI of thigh muscles in Facioscapulohumeral muscular dystrophy15
Accurate automated diagnosis of carpal tunnel syndrome using radiomics features with ultrasound images: A comparison with radiologists’ assessment15
Compressed sensing and parallel imaging accelerated T2 FSE sequence for head and neck MR imaging: Comparison of its utility in routine clinical practice15
Deep Learning-based calculation of patient size and attenuation surrogates from localizer Image: Toward personalized chest CT protocol optimization15
Accelerated MRI of the knee. Quality and efficiency of compressed sensing15
Preoperative prediction of pathological grading of hepatocellular carcinoma using machine learning-based ultrasomics: A multicenter study15
Deep learning for automated exclusion of cardiac CT examinations negative for coronary artery calcium15
Deep learning-based classification of lower extremity arterial stenosis in computed tomography angiography15
Interstitial lung abnormalities (ILA) on routine chest CT: Comparison of radiologists’ visual evaluation and automated quantification15
CT-based radiomics for predicting brain metastases as the first failure in patients with curatively resected locally advanced non-small cell lung cancer15
Multiple mathematical models of diffusion-weighted imaging for endometrial cancer characterization: Correlation with prognosis-related risk factors15
Diffusion kurtosis imaging in the prediction of poor responses of locally advanced gastric cancer to neoadjuvant chemotherapy15
Vesical Imaging Reporting and Data System (VI-RADS): Are the individual MRI sequences equivalent in diagnostic performance of high grade NMIBC and MIBC?15
Treatment of symptomatic postoperative pelvic lymphoceles: A systematic review15
Comparison of biparametric versus multiparametric prostate MRI for the detection of extracapsular extension and seminal vesicle invasion in biopsy naïve patients15
Distinguishing brain inflammation from grade II glioma in population without contrast enhancement: a radiomics analysis based on conventional MRI15
How does the radiology community discuss the benefits and limitations of artificial intelligence for their work? A systematic discourse analysis14
Identification of benign and malignant pulmonary nodules on chest CT using improved 3D U-Net deep learning framework14
Organ doses and cancer risk assessment in patients exposed to high doses from recurrent CT exams14
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