European Journal of Radiology

Papers
(The median citation count of European Journal of Radiology is 3. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
Artificial intelligence in ultrasound108
Deep learning–accelerated T2-weighted imaging of the prostate: Reduction of acquisition time and improvement of image quality84
Methodology, clinical applications, and future directions of body composition analysis using computed tomography (CT) images: A review61
Hierarchical fracture classification of proximal femur X-Ray images using a multistage Deep Learning approach57
Compressed sensing and deep learning reconstruction for women’s pelvic MRI denoising: Utility for improving image quality and examination time in routine clinical practice53
Pulmonary thromboembolic disease in COVID-19 patients on CT pulmonary angiography – Prevalence, pattern of disease and relationship to D-dimer53
Comparison of admission chest computed tomography and lung ultrasound performance for diagnosis of COVID-19 pneumonia in populations with different disease prevalence51
Neuroimaging findings of brain MRI and CT in patients with COVID-19: A systematic review and meta-analysis51
Comparison of 68Ga-DOTA-FAPI and 18FDG PET/CT imaging modalities in the detection of liver metastases in patients with gastrointestinal system cancer50
Trends in the application of deep learning networks in medical image analysis: Evolution between 2012 and 202048
Ultrasound findings of lung ultrasonography in COVID-19: A systematic review48
Computed tomography with a full FOV photon-counting detector in a clinical setting, the first experience48
Low-dose CT of the abdomen: Initial experience on a novel photon-counting detector CT and comparison with energy-integrating detector CT46
Quality control and whole-gland, zonal and lesion annotations for the PROSTATEx challenge public dataset46
Radiomic Machine Learning Classifiers in Spine Bone Tumors: A Multi-Software, Multi-Scanner Study45
Photon-counting CT: Review of initial clinical results45
Post-discharge chest CT findings and pulmonary function tests in severe COVID-19 patients45
WHO classification of soft tissue tumours 2020: An update and simplified approach for radiologists44
Chest x-ray in the COVID-19 pandemic: Radiologists’ real-world reader performance43
Long-COVID diagnosis: From diagnostic to advanced AI-driven models42
AI-enhanced breast imaging: Where are we and where are we heading?40
Photon counting Detectors: Concept, technical Challenges, and clinical outlook39
Systematic review of sarcomas radiomics studies: Bridging the gap between concepts and clinical applications?38
CT-based deep learning radiomics analysis for evaluation of serosa invasion in advanced gastric cancer37
The use of metaverse in fetal medicine and gynecology37
Automatic coronary calcium scoring in chest CT using a deep neural network in direct comparison with non-contrast cardiac CT: A validation study37
Can LI-RADS imaging features at gadoxetic acid-enhanced MRI predict aggressive features on pathology of single hepatocellular carcinoma?36
Advanced MRI assessment of non-enhancing peritumoral signal abnormality in brain lesions36
Artificial intelligence in computed tomography plaque characterization: A review35
MRI based radiomics in nasopharyngeal cancer: Systematic review and perspectives using radiomic quality score (RQS) assessment34
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 reference34
Predictive value of CT in the short-term mortality of Coronavirus Disease 2019 (COVID-19) pneumonia in nonelderly patients: A case-control study33
Artificial intelligence for breast ultrasound: An adjunct tool to reduce excessive lesion biopsy33
MRI-based synthetic CT of the lumbar spine: Geometric measurements for surgery planning in comparison with CT33
3D MRI with CT-like bone contrast – An overview of current approaches and practical clinical implementation32
Diagnostic performance of LI-RADS for MRI and CT detection of HCC: A systematic review and diagnostic meta-analysis32
Diagnostic performance between MR amide proton transfer (APT) and diffusion kurtosis imaging (DKI) in glioma grading and IDH mutation status prediction at 3 T31
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 in30
A multi-center study of COVID-19 patient prognosis using deep learning-based CT image analysis and electronic health records30
Deep learning analysis provides accurate COVID-19 diagnosis on chest computed tomography30
Impact of prostate imaging quality (PI-QUAL) score on the detection of clinically significant prostate cancer at biopsy30
Post-Contrast 3D Inversion Recovery Magnetic Resonance Neurography for Evaluation of Branch Nerves of the Brachial Plexus30
Radiomic differentiation of breast cancer molecular subtypes using pre-operative breast imaging – A systematic review and meta-analysis30
A systematic review on the use of explainability in deep learning systems for computer aided diagnosis in radiology: Limited use of explainable AI?30
The role of APT imaging in gliomas grading: A systematic review and meta-analysis29
Artificial intelligence assistance improves reporting efficiency of thoracic aortic aneurysm CT follow-up29
Comparison of diagnostic accuracy of ACR-TIRADS, American Thyroid Association (ATA), and EU-TIRADS guidelines in detecting thyroid malignancy29
Image texture, low contrast liver lesion detectability and impact on dose: Deep learning algorithm compared to partial model-based iterative reconstruction29
Systematic review of reproductive outcomes after High Intensity Focused Ultrasound treatment of uterine fibroids28
Meta-analysis of brain gray matter changes in chronic smokers28
Feasibility of automatic measurements of hip joints based on pelvic radiography and a deep learning algorithm28
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 m28
Contrast-enhanced mammography in breast cancer screening28
Body composition on low dose chest CT is a significant predictor of poor clinical outcome in COVID-19 disease - A multicenter feasibility study27
Geometric 3D analyses of the foot and ankle using weight-bearing and non weight-bearing cone-beam CT images: The new standard?27
Texture analysis imaging “what a clinical radiologist needs to know”27
Machine learning with magnetic resonance imaging for prediction of response to neoadjuvant chemotherapy in breast cancer: A systematic review and meta-analysis26
The role of imaging in the management of renal masses26
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 foot26
Application of the Kaiser score to increase diagnostic accuracy in equivocal lesions on diagnostic mammograms referred for MR mammography26
Artificial intelligence to assess body composition on routine abdominal CT scans and predict mortality in pancreatic cancer– A recipe for your local application26
Trend in radiologist workload compared to number of admissions in the emergency department26
Diagnosing uterine cervical cancer on a single T2-weighted image: Comparison between deep learning versus radiologists25
Inter-reader agreement of the Prostate Imaging Quality (PI-QUAL) score: A bicentric study25
Deep learning powered coronary CT angiography for detecting obstructive coronary artery disease: The effect of reader experience, calcification and image quality25
Patient communication in radiology: Moving up the agenda25
Prostate cancer local staging using biparametric MRI: assessment and comparison with multiparametric MRI25
Diagnostic accuracy of axillary staging by ultrasound in early breast cancer patients25
Photon-counting detector CT improves quality of arterial phase abdominal scans: A head-to-head comparison with energy-integrating CT25
MRI radiomics: A machine learning approach for the risk stratification of endometrial cancer patients25
Radiomics features based on automatic segmented MRI images: Prognostic biomarkers for triple-negative breast cancer treated with neoadjuvant chemotherapy24
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 experience24
A CT-based radiomics nomogram for predicting early recurrence in patients with high-grade serous ovarian cancer24
Measurement variations of MRI and CT in the assessment of tumor depth of invasion in oral cancer: A retrospective study24
Can magnetic resonance imaging radiomics of the pancreas predict postoperative pancreatic fistula?24
Detection and vascular territorial classification of stroke on diffusion-weighted MRI by deep learning24
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 staging24
Combined texture analysis and machine learning in suspicious calcifications detected by mammography: Potential to avoid unnecessary stereotactical biopsies24
Impact of PI-QUAL on PI-RADS and cancer yield in an MRI-TRUS fusion biopsy population24
Altered in vivo brain GABA and glutamate levels are associated with multiple sclerosis central fatigue23
Socio-economic and psychological impact of the COVID-19 outbreak on private practice and public hospital radiologists23
Assessment of image quality in photon-counting detector computed tomography of the wrist – An ex vivo study23
Predicting local tumour progression after ablation for colorectal liver metastases: CT-based radiomics of the ablation zone23
Convolutional neural network performance compared to radiologists in detecting intracranial hemorrhage from brain computed tomography: A systematic review and meta-analysis23
Assessment of visibility of bone structures in the wrist using normal and half of the radiation dose with photon-counting detector CT23
Multi-classifier-based identification of COVID-19 from chest computed tomography using generalizable and interpretable radiomics features23
Assessment of hepatic steatosis based on virtual non-contrast computed tomography: Initial experiences with a photon counting scanner approved for clinical use22
Preoperative MR imaging for predicting early recurrence of solitary hepatocellular carcinoma without microvascular invasion22
Ultra-high resolution photon-counting coronary CT angiography improves coronary stenosis quantification over a wide range of heart rates – A dynamic phantom study22
Deep learning-accelerated T2-weighted imaging of the prostate: Impact of further acceleration with lower spatial resolution on image quality22
Contrast enhanced mammography (CEM) versus magnetic resonance imaging (MRI) for staging of breast cancer: The pro CEM perspective22
Opportunistic screening for osteoporosis and osteopenia by routine computed tomography scan: A heterogeneous, multiethnic, middle-eastern population validation study22
Chest computed tomography improvement in patients with cystic fibrosis treated with elexacaftor-tezacaftor-ivacaftor: Early report22
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 cancer22
Classification of renal tumour using convolutional neural networks to detect oncocytoma22
Histogram analysis of quantitative parameters from synthetic MRI: Correlations with prognostic factors and molecular subtypes in invasive ductal breast cancer22
Machine learning for lung CT texture analysis: Improvement of inter-observer agreement for radiological finding classification in patients with pulmonary diseases21
Ultra-low-dose CT combined with noise reduction techniques for quantification of emphysema in COPD patients: An intra-individual comparison study with standard-dose CT21
Performance of a deep learning-based lung nodule detection system as an alternative reader in a Chinese lung cancer screening program21
Accurate automated diagnosis of carpal tunnel syndrome using radiomics features with ultrasound images: A comparison with radiologists’ assessment21
Effect of deep learning image reconstruction in the prediction of resectability of pancreatic cancer: Diagnostic performance and reader confidence21
A systematic review and data synthesis of longitudinal changes in white matter integrity after mild traumatic brain injury assessed by diffusion tensor imaging in adults21
Metal artifact reduction using iterative CBCT reconstruction algorithm for head and neck radiation therapy: A phantom and clinical study21
Radiomic features of magnetic resonance images as novel preoperative predictive factors of bone invasion in meningiomas21
A meta-analysis of MRI-based radiomic features for predicting lymph node metastasis in patients with cervical cancer21
Cost-effectiveness of MR-mammography vs. conventional mammography in screening patients at intermediate risk of breast cancer - A model-based economic evaluation21
Explainable AI in medical imaging: An overview for clinical practitioners – Beyond saliency-based XAI approaches21
Quality assessment of meningioma radiomics studies: Bridging the gap between exploratory research and clinical applications21
Scatter radiation reduction with a radiation-absorbing pad in interventional radiology examinations21
Visualization of the morphology and pathology of the peripheral branches of the cranial nerves using three-dimensional high-resolution high-contrast magnetic resonance neurography20
Radiation dose reduction, improved isocenter accuracy and CT scan time savings with automatic patient positioning by a 3D camera20
Deep learning-based classification of lower extremity arterial stenosis in computed tomography angiography20
Rectal preparation significantly improves prostate imaging quality: Assessment of the PI-QUAL score with visual grading characteristics20
Correlation between lung ultrasound and chest CT patterns with estimation of pulmonary burden in COVID-19 patients20
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]Fluorode20
Differentiating high-grade glioma recurrence from pseudoprogression: Comparing diffusion kurtosis imaging and diffusion tensor imaging20
Primary application of mean apparent propagator-MRI diffusion model in the grading of diffuse glioma20
Hepatic fibrosis grading with extracellular volume fraction from iodine mapping in spectral liver CT20
PSMA PET/CT vs. CT alone in newly diagnosed biochemical recurrence of prostate cancer after radical prostatectomy: Comparison of detection rates and therapeutic implications20
Radiological response to nivolumab in patients with hepatocellular carcinoma: A multicenter analysis of real-life practice20
Deep learning reconstruction of equilibrium phase CT images in obese patients20
Feasibility of MRI-based radiomics features for predicting lymph node metastases and VEGF expression in cervical cancer20
Organ doses and cancer risk assessment in patients exposed to high doses from recurrent CT exams20
Management of breast lesions seen on US images: dual-model radiomics including shear-wave elastography may match performance of expert radiologists19
Performance of artificial intelligence-based coronary artery calcium scoring in non-gated chest CT19
Accelerated MRI of the knee. Quality and efficiency of compressed sensing19
Clinical feasibility of accelerated diffusion weighted imaging of the abdomen with deep learning reconstruction: Comparison with conventional diffusion weighted imaging19
Application of deep learning as a noninvasive tool to differentiate muscle-invasive bladder cancer and non–muscle-invasive bladder cancer with CT19
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 outcome19
Impact of CT-based body composition parameters at baseline, their early changes and response in metastatic cancer patients treated with immune checkpoint inhibitors19
Development of a deep learning-based algorithm for the automatic detection and quantification of aortic valve calcium19
Magnetic resonance imaging of salivary gland tumours: Key findings for imaging characterisation19
Dual energy computed tomography evaluation of skeletal traumas19
Artificial intelligence for body composition and sarcopenia evaluation on computed tomography: A systematic review and meta-analysis19
Interstitial lung abnormalities (ILA) on routine chest CT: Comparison of radiologists’ visual evaluation and automated quantification19
Feasibility of assessment of skeletal muscle mass on a single cross-sectional image at the level of the fourth thoracic vertebra19
Decreased tissue stiffness in glioblastoma by MR elastography is associated with increased cerebral blood flow19
Fully automatic framework for comprehensive coronary artery calcium scores analysis on non-contrast cardiac-gated CT scan: Total and vessel-specific quantifications19
Improved outcome prediction of oropharyngeal cancer by combining clinical and MRI features in machine learning models19
Diagnostic performance of the Kaiser score for characterizing lesions on breast MRI with comparison to a multiparametric classification system19
Colorectal liver metastases: ADC as an imaging biomarker of tumor behavior and therapeutic response19
A model combining pretreatment MRI radiomic features and tumor-infiltrating lymphocytes to predict response to neoadjuvant systemic therapy in triple-negative breast cancer19
A new approach to breast cancer terminology based on the anatomic site of tumour origin: The importance of radiologic imaging biomarkers18
Overview and recent advances in PET/CT imaging in lymphoma and multiple myeloma18
Application of bi-planar reduced field-of-view DWI (rFOV DWI) in the assessment of muscle-invasiveness of bladder cancer18
Explainable AI in medical imaging: An overview for clinical practitioners – Saliency-based XAI approaches18
Bone visualization of the cervical spine with deep learning-based synthetic CT compared to conventional CT: A single-center noninferiority study on image quality18
Imaging and treatment of brain tumors through molecular targeting: Recent clinical advances18
Aberrant dynamic functional network connectivity in cirrhotic patients without overt hepatic encephalopathy18
Treatment of symptomatic postoperative pelvic lymphoceles: A systematic review18
Comparison of biparametric versus multiparametric prostate MRI for the detection of extracapsular extension and seminal vesicle invasion in biopsy naïve patients18
CT radiomics-based prediction of anaplastic lymphoma kinase and epidermal growth factor receptor mutations in lung adenocarcinoma18
Integrated Positron Emission Tomography/Magnetic Resonance Imaging in clinical diagnosis of Alzheimer’s disease18
The combination of endoluminal radiofrequency ablation and metal stent implantation for the treatment of malignant biliary stenosis – Randomized study18
Diffusion-weighted imaging of the abdomen using echo planar imaging with compressed SENSE: Feasibility, image quality, and ADC value evaluation18
Selection of patients with rectal cancer for neoadjuvant therapy using pre-therapeutic MRI – Results from OCUM trial18
Comparison of metal artifact reduction using single-energy CT and dual-energy CT with various metallic implants in cadavers18
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 patients18
Radiomics diagnosed histopathological growth pattern in prediction of response and 1-year progression free survival for colorectal liver metastases patients treated with bevacizumab containing chemoth18
Noninvasive assessment of liver fibrosis by dual-layer spectral detector CT18
Automatic detection of brain metastases on contrast-enhanced CT with deep-learning feature-fused single-shot detectors18
CT-based radiomics for predicting brain metastases as the first failure in patients with curatively resected locally advanced non-small cell lung cancer18
Breast imaging: Beyond the detection18
Effect of CT reconstruction settings on the performance of a deep learning based lung nodule CAD system18
Complications of transjugular intrahepatic portosystemic shunt (TIPS) in the era of the stent graft – What the interventionists need to know?17
Texture analysis and machine learning to predict water T2 and fat fraction from non-quantitative MRI of thigh muscles in Facioscapulohumeral muscular dystrophy17
Novel flat-panel cone-beam CT compared to multi-detector CT for assessment of acute ischemic stroke: A prospective study17
Enhancement patterns of small hepatocellular carcinoma (≤ 30 mm) on contrast-enhanced ultrasound: Correlation with clinicopathologic characteristics17
A deep-learning reconstruction algorithm that improves the image quality of low-tube-voltage coronary CT angiography17
Distinguishing brain inflammation from grade II glioma in population without contrast enhancement: a radiomics analysis based on conventional MRI17
Assessment of prognostic value and interreader agreement of ANALI scores in patients with primary sclerosing cholangitis17
Use of CT radiomics to differentiate minimally invasive adenocarcinomas and invasive adenocarcinomas presenting as pure ground-glass nodules larger than 10 mm17
Vesical Imaging Reporting and Data System (VI-RADS): Are the individual MRI sequences equivalent in diagnostic performance of high grade NMIBC and MIBC?17
Shortage of iodinated contrast media: Status and possible chances – A systematic review17
Assessment of deep learning-based reconstruction on T2-weighted and diffusion-weighted prostate MRI image quality17
Arterial calcification and long-term outcome in chronic limb-threatening ischemia patients17
How does the radiology community discuss the benefits and limitations of artificial intelligence for their work? A systematic discourse analysis17
Preoperative prediction of pathological grading of hepatocellular carcinoma using machine learning-based ultrasomics: A multicenter study17
USPIO-enhanced MRI of lymph nodes in rectal cancer: A node-to-node comparison with histopathology17
Association between pulmonary embolism and COVID-19 severe pneumonia: Experience from two centers in the core of the infection Italian peak16
Iron deposition in Parkinsonisms: A Quantitative Susceptibility Mapping study in the deep grey matter16
Current status and quality of radiomic studies for predicting KRAS mutations in colorectal cancer patients: A systematic review and meta‑analysis16
Machine learning for the prediction of osteopenia/osteoporosis using the CT attenuation of multiple osseous sites from chest CT16
Predictors and patterns of recurrence after radiofrequency ablation for hepatocellular carcinoma within up-to-seven criteria: A multicenter retrospective study16
Preoperative prediction of clinically relevant postoperative pancreatic fistula after pancreaticoduodenectomy16
CT-derived epicardial adipose tissue density: Systematic review and meta-analysis16
Synthetic MRI with quantitative mappings for identifying receptor status, proliferation rate, and molecular subtypes of breast cancer16
A radiomics model based on DCE-MRI and DWI may improve the prediction of estimating IDH1 mutation and angiogenesis in gliomas16
Prostate MRI and image Quality: It is time to take stock16
Image quality assessment of artificial intelligence iterative reconstruction for low dose aortic CTA: A feasibility study of 70 kVp and reduced contrast medium volume16
Pericoronary adipose tissue CT attenuation and volume: Diagnostic performance for hemodynamically significant stenosis in patients with suspected coronary artery disease16
Texture feature-based machine learning classifier could assist in the diagnosis of COVID-1916
Oral hydration compared to intravenous hydration in the prevention of post-contrast acute kidney injury in patients with chronic kidney disease stage IIIb: A phase III non-inferiority study (NICIR stu16
Correct determination of the enhancement curve is critical to ensure accurate diagnosis using the Kaiser score as a clinical decision rule for breast MRI16
Endometriosis: A multimodal imaging review16
Artificial intelligence and multidisciplinary team meetings; a communication challenge for radiologists' sense of agency and position as spider in a web?16
Deep convolutional neural network for classification of thyroid nodules on ultrasound: Comparison of the diagnostic performance with that of radiologists16
Comparison of respiratory-triggered 3D MR cholangiopancreatography and breath-hold compressed-sensing 3D MR cholangiopancreatography at 1.5 T and 3 T and impact of individual factors on image quality16
Prediction of pathological prognostic factors of rectal cancer by relaxation maps from synthetic magnetic resonance imaging16
The role of Artificial intelligence in the assessment of the spine and spinal cord15
External validation of an artificial intelligence tool for radiographic knee osteoarthritis severity classification15
Axillary lymph node characteristics in breast cancer patients versus post-COVID-19 vaccination: Overview of current evidence per imaging modality15
Follow-up study of pulmonary sequelae in discharged COVID-19 patients with diabetes or secondary hyperglycemia15
Comparison and prediction of artefact severity due to total hip replacement in 1.5 T versus 3 T MRI of the prostate15
Safety of percutaneous versus transjugular liver biopsy: A propensity score matched analysis15
Incomplete circle of Willis variants and stroke outcome15
3-D Res-CapsNet convolutional neural network on automated breast ultrasound tumor diagnosis15
Comparison of multiplexed sensitivity encoding and single-shot echo-planar imaging for diffusion-weighted imaging of the liver15
Texture analysis in the characterization of parotid salivary gland lesions: A study on MR diffusion weighted imaging15
Deep learning trained algorithm maintains the quality of half-dose contrast-enhanced liver computed tomography images: Comparison with hybrid iterative reconstruction15
Compressed sensing and parallel imaging accelerated T2 FSE sequence for head and neck MR imaging: Comparison of its utility in routine clinical practice15
Low dose ionizing radiation exposure and risk of thyroid functional alterations in healthcare workers15
Value of spectral detector CT for pretherapeutic, locoregional assessment of esophageal cancer15
Detecting the muscle invasiveness of bladder cancer: An application of diffusion kurtosis imaging and tumor contact length15
The value of intravoxel incoherent motion and diffusion kurtosis imaging in the assessment of tumor regression grade and T stages after neoadjuvant chemoradiotherapy in patients with locally advanced 15
MR elastography as a biomarker for prediction of early and late recurrence in HBV-related hepatocellular carcinoma patients before hepatectomy15
Validation of a standardized CT protocol for the evaluation of varices and porto-systemic shunts in cirrhotic patients15
The diagnostic performance of diffusion-weighted imaging and dynamic contrast-enhanced magnetic resonance imaging in evaluating the pathological response of breast cancer to neoadjuvant chemotherapy: 15
Development and validation of a deep learning model for survival prognosis of transcatheter arterial chemoembolization in patients with intermediate-stage hepatocellular carcinoma15
Deep Learning-based calculation of patient size and attenuation surrogates from localizer Image: Toward personalized chest CT protocol optimization15
The utility of ADC value in diffusion-weighted whole-body MRI in the follow-up of patients with multiple myeloma. Correlation study with 18F-FDG PET-CT15
Sources of error in bone mineral density estimates from quantitative CT15
Velocity quantification in 44 healthy volunteers using accelerated multi-VENC 4D flow CMR15
Reproducibility of CT texture features of pancreatic neuroendocrine neoplasms15
MRI-based radiomics model for distinguishing endometrial carcinoma from benign mimics: A multicenter study15
Which one is better for predicting extraprostatic extension on multiparametric MRI: ESUR score, Likert scale, tumor contact length, or EPE grade?15
Quantitative analysis of three-dimensional left ventricular global strain using coronary computed tomography angiography in patients with heart failure: Comparison with 3T cardiac MR14
Contrast-enhanced CT based radiomics in the preoperative prediction of perineural invasion for patients with gastric cancer14
Association of body composition parameters measured on CT with risk of hospitalization in patients with Covid-1914
Reasons for missing clinically significant prostate cancer by targeted magnetic resonance imaging/ultrasound fusion-guided biopsy14
Breath-hold 3D magnetic resonance cholangiopancreatography at 1.5 T using a deep learning-based noise-reduction approach: Comparison with the conventional respiratory-triggered technique14
MR imaging findings for differentiating cutaneous malignant melanoma from squamous cell carcinoma14
Internal iliac artery balloon occlusion in the management of placenta accreta: A systematic review and meta-analysis14
Clinicopathological and computed tomographic features associated with occult lymph node metastasis in patients with peripheral solid non-small cell lung cancer14
Solitary fibrous tumors: Clinical and imaging features from head to toe14
Development and assessment of an educational application for the proper use of ceiling-suspended radiation shielding screens in angiography rooms using augmented reality technology14
Evaluation of liver fibrosis and cirrhosis on the basis of quantitative T1 mapping: Are acute inflammation, age and liver volume confounding factors?14
Moderate-severe coronary calcification predicts long-term cardiovascular death in CT lung cancer screening: The ITALUNG trial14
Radiologist burnout: Trends in medical imaging utilization under the national health insurance system with the universal code bundling strategy in an academic tertiary medical centre14
Artificial intelligence for imaging-based COVID-19 detection: Systematic review comparing added value of AI versus human readers14
The role of volumetric ADC histogram analysis in preoperatively evaluating the tumour subtype and grade of endometrial cancer13
Artificial intelligence applications for oncological positron emission tomography imaging13
Prediction of treatment response to intravenous glucocorticoid in patients with thyroid-associated ophthalmopathy using T2 mapping and T2 IDEAL13
Magnetic resonance imaging and diffusion-weighted imaging-based histogram analyses in predicting glypican 3-positive hepatocellular carcinoma13
Ultrahigh-resolution computed tomography of the cervical spine without dose penalty employing a cadmium-telluride photon-counting detector13
Differentiating EGFR from ALK mutation status using radiomics signature based on MR sequences of brain metastasis13
Metastases or benign adrenal lesions in patients with histopathological verification of lung cancer: Can CT texture analysis distinguish?13
Differentiating Cytokeratin 19 expression of hepatocellular carcinoma by using multi-b-value diffusion-weighted MR imaging with mono-exponential, stretched exponential, intravoxel incoherent motion, d13
CT texture analysis of vulnerable plaques on optical coherence tomography13
Effects of BPA on right ventricular mechanical dysfunction in patients with inoperable CTEPH – A cardiac magnetic resonance study13
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