| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
Accuracy of CT in a cohort of symptomatic patients with suspected COVID-19 pneumonia during the outbreak peak in Italy
|
Besutti, Giulia
|
|
|
30 |
12 |
p. 6818-6827
|
article
|
| 2 |
A deep learning approach to characterize 2019 coronavirus disease (COVID-19) pneumonia in chest CT images
|
Ni, Qianqian
|
|
|
30 |
12 |
p. 6517-6527
|
article
|
| 3 |
A fully automated software platform for structural mitral valve analysis
|
Steinbach, Robert
|
|
|
30 |
12 |
p. 6528-6536
|
article
|
| 4 |
Application of DynaCT angiographic reconstruction in balloon pulmonary angioplasty
|
Lin, Jie-Long
|
|
|
30 |
12 |
p. 6950-6957
|
article
|
| 5 |
A predictive model and scoring system combining clinical and CT characteristics for the diagnosis of COVID-19
|
Qin, Le
|
|
|
30 |
12 |
p. 6797-6807
|
article
|
| 6 |
Automated detection of pulmonary embolism in CT pulmonary angiograms using an AI-powered algorithm
|
Weikert, Thomas
|
|
|
30 |
12 |
p. 6545-6553
|
article
|
| 7 |
Automated identification of chest radiographs with referable abnormality with deep learning: need for recalibration
|
Hwang, Eui Jin
|
|
|
30 |
12 |
p. 6902-6912
|
article
|
| 8 |
Bifascicular nature of the flexor digitorum profundus and flexor pollicis longus tendons: forgotten anatomical characteristics rediscovered with US imaging
|
Lapegue, Franck
|
|
|
30 |
12 |
p. 6653-6662
|
article
|
| 9 |
Characterization of parotid gland tumors: added value of permeability MR imaging to DWI and DCE-MRI
|
Yabuuchi, Hidetake
|
|
|
30 |
12 |
p. 6402-6412
|
article
|
| 10 |
Chest CT practice and protocols for COVID-19 from radiation dose management perspective
|
Kalra, Mannudeep K.
|
|
|
30 |
12 |
p. 6554-6560
|
article
|
| 11 |
Chest CT score in COVID-19 patients: correlation with disease severity and short-term prognosis
|
Francone, Marco
|
|
|
30 |
12 |
p. 6808-6817
|
article
|
| 12 |
Clinically significant prostate cancer detection and segmentation in low-risk patients using a convolutional neural network on multi-parametric MRI
|
Arif, Muhammad
|
|
|
30 |
12 |
p. 6582-6592
|
article
|
| 13 |
Combined aortic valve and coronary artery calcifications in lung cancer screening as predictors of death from cardiovascular disease
|
Zhu, Yeqing
|
|
|
30 |
12 |
p. 6847-6857
|
article
|
| 14 |
Comparison of a coaxial versus non-coaxial liver biopsy technique in an oncological setting: diagnostic yield, complications and seeding risk
|
Fotiadis, Nicos
|
|
|
30 |
12 |
p. 6702-6708
|
article
|
| 15 |
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
|
Bernatz, Simon
|
|
|
30 |
12 |
p. 6757-6769
|
article
|
| 16 |
Comparison of the computed tomography findings in COVID-19 and other viral pneumonia in immunocompetent adults: a systematic review and meta-analysis
|
Altmayer, Stephan
|
|
|
30 |
12 |
p. 6485-6496
|
article
|
| 17 |
Contralateral parenchymal enhancement on breast MRI before and during neoadjuvant endocrine therapy in relation to the preoperative endocrine prognostic index
|
Ragusi, Max A. A.
|
|
|
30 |
12 |
p. 6740-6748
|
article
|
| 18 |
Correction to: A quantitative imaging biomarker for predicting disease-free-survival-associated histologic subgroups in lung adenocarcinoma
|
Lu, Lin
|
|
|
30 |
12 |
p. 6969
|
article
|
| 19 |
Correction to: Assessment of knee pain from MR imaging using a convolutional Siamese network
|
Chang, Gary H.
|
|
|
30 |
12 |
p. 6968
|
article
|
| 20 |
Correction to: No evidence of improved efficacy of covered stents over uncovered stents in percutaneous palliation of malignant hilar biliary obstruction: results of a prospective randomized trial
|
Dhondt, Elisabeth
|
|
|
30 |
12 |
p. 6965
|
article
|
| 21 |
Correction to: The Lisbon Agreement on Femoroacetabular Impingement Imaging—part 1: overview
|
Mascarenhas, Vasco V.
|
|
|
30 |
12 |
p. 6966-6967
|
article
|
| 22 |
COVID-19 impact assessment on the French radiological centers: a nationwide survey
|
Herpe, Guillaume
|
|
|
30 |
12 |
p. 6537-6544
|
article
|
| 23 |
CT-based radiomics to predict the pathological grade of bladder cancer
|
Zhang, Gumuyang
|
|
|
30 |
12 |
p. 6749-6756
|
article
|
| 24 |
Dental MRI: a road beyond CBCT
|
Nakamura, Takashi
|
|
|
30 |
12 |
p. 6389-6391
|
article
|
| 25 |
Diagnostic reliability of elastography in thyroid nodules reported as indeterminate at prior fine-needle aspiration cytology (FNAC): a systematic review and Bayesian meta-analysis
|
Qiu, Yuxuan
|
|
|
30 |
12 |
p. 6624-6634
|
article
|
| 26 |
Diffusion and perfusion MRI may predict EGFR amplification and the TERT promoter mutation status of IDH-wildtype lower-grade gliomas
|
Park, Yae Won
|
|
|
30 |
12 |
p. 6475-6484
|
article
|
| 27 |
Diffusion tensor imaging of the anterior cruciate ligament graft following reconstruction: a longitudinal study
|
Van Dyck, Pieter
|
|
|
30 |
12 |
p. 6673-6684
|
article
|
| 28 |
Discrimination between transient and persistent subsolid pulmonary nodules on baseline CT using deep transfer learning
|
Huang, Chuxi
|
|
|
30 |
12 |
p. 6913-6923
|
article
|
| 29 |
Does the change in volumetric functional MR metrics post-TACE predict histopathologic grading of hepatocellular carcinoma?
|
Ameli, Sanaz
|
|
|
30 |
12 |
p. 6709-6720
|
article
|
| 30 |
Does transient arterial-phase respiratory-motion-related artifact impact on diagnostic performance? An intra-patient comparison of extracellular gadolinium versus gadoxetic acid
|
Rimola, Jordi
|
|
|
30 |
12 |
p. 6694-6701
|
article
|
| 31 |
Emphysema quantification using low-dose computed tomography with deep learning–based kernel conversion comparison
|
Bak, So Hyeon
|
|
|
30 |
12 |
p. 6779-6787
|
article
|
| 32 |
Feed-forward neural networks using cerebral MR spectroscopy and DTI might predict neurodevelopmental outcome in preterm neonates
|
Janjic, T.
|
|
|
30 |
12 |
p. 6441-6451
|
article
|
| 33 |
Forensic age estimation in living adolescents with CT imaging of the clavicula—impact of low-dose scanning on readers’ confidence
|
Gassenmaier, Sebastian
|
|
|
30 |
12 |
p. 6645-6652
|
article
|
| 34 |
From community-acquired pneumonia to COVID-19: a deep learning–based method for quantitative analysis of COVID-19 on thick-section CT scans
|
Li, Zhang
|
|
|
30 |
12 |
p. 6828-6837
|
article
|
| 35 |
From deep learning to dark fields—medical imaging physics in ECR 2020
|
Kortesniemi, Mika
|
|
|
30 |
12 |
p. 6937-6939
|
article
|
| 36 |
Identification of common and severe COVID-19: the value of CT texture analysis and correlation with clinical characteristics
|
Wei, Wei
|
|
|
30 |
12 |
p. 6788-6796
|
article
|
| 37 |
Impact of coronavirus disease 2019 (COVID-19) emergency on Italian radiologists: a national survey
|
Albano, Domenico
|
|
|
30 |
12 |
p. 6635-6644
|
article
|
| 38 |
Improved characterization of sub-centimeter enhancing breast masses on MRI with radiomics and machine learning in BRCA mutation carriers
|
Lo Gullo, Roberto
|
|
|
30 |
12 |
p. 6721-6731
|
article
|
| 39 |
Infarct growth patterns may vary in acute stroke due to large vessel occlusion and recanalization with endovascular therapy
|
Gwak, Dong-Seok
|
|
|
30 |
12 |
p. 6432-6440
|
article
|
| 40 |
Intimate partner violence crisis in the COVID-19 pandemic: how can radiologists make a difference?
|
Matoori, Simon
|
|
|
30 |
12 |
p. 6933-6936
|
article
|
| 41 |
Longitudinal study of interventional radiology activity in a large metropolitan Italian tertiary care hospital: how the COVID-19 pandemic emergency has changed our activity
|
Iezzi, Roberto
|
|
|
30 |
12 |
p. 6940-6949
|
article
|
| 42 |
Lung base CT findings in COVID-19 adult patients presenting with acute abdominal complaints: case series from a major New York City health system
|
King, Michael J.
|
|
|
30 |
12 |
p. 6685-6693
|
article
|
| 43 |
Machine learning–based CT texture analysis to predict HPV status in oropharyngeal squamous cell carcinoma: comparison of 2D and 3D segmentation
|
Ren, Jiliang
|
|
|
30 |
12 |
p. 6858-6866
|
article
|
| 44 |
Machine learning for the identification of clinically significant prostate cancer on MRI: a meta-analysis
|
Cuocolo, Renato
|
|
|
30 |
12 |
p. 6877-6887
|
article
|
| 45 |
MR elastography frequency–dependent and independent parameters demonstrate accelerated decrease of brain stiffness in elder subjects
|
Lv, Han
|
|
|
30 |
12 |
p. 6614-6623
|
article
|
| 46 |
MRI in acute muscle tears in athletes: can quantitative T2 and DTI predict return to play better than visual assessment?
|
Biglands, J. D.
|
|
|
30 |
12 |
p. 6603-6613
|
article
|
| 47 |
Oligometastatic adrenocortical carcinoma: the role of image-guided thermal ablation
|
Veltri, Andrea
|
|
|
30 |
12 |
p. 6958-6964
|
article
|
| 48 |
Perfusion recovery on TTP maps after endovascular stroke treatment might predict favorable neurological outcomes
|
Shin, Jaewon
|
|
|
30 |
12 |
p. 6421-6431
|
article
|
| 49 |
Post-processing of computed tomography perfusion in patients with acute cerebral ischemia: variability of inter-reader, inter-region of interest, inter-input model, and inter-software
|
Chen, Zhong-Ping
|
|
|
30 |
12 |
p. 6561-6569
|
article
|
| 50 |
Preoperative prediction for pathological grade of hepatocellular carcinoma via machine learning–based radiomics
|
Mao, Bing
|
|
|
30 |
12 |
p. 6924-6932
|
article
|
| 51 |
Quality of same-day CT colonography following incomplete optical colonoscopy
|
O’Shea, Aileen
|
|
|
30 |
12 |
p. 6508-6516
|
article
|
| 52 |
Quantitative chest CT analysis in COVID-19 to predict the need for oxygenation support and intubation
|
Lanza, Ezio
|
|
|
30 |
12 |
p. 6770-6778
|
article
|
| 53 |
Radiomics nomogram for the prediction of 2019 novel coronavirus pneumonia caused by SARS-CoV-2
|
Fang, Xu
|
|
|
30 |
12 |
p. 6888-6901
|
article
|
| 54 |
Radiomics nomogram of contrast-enhanced spectral mammography for prediction of axillary lymph node metastasis in breast cancer: a multicenter study
|
Mao, Ning
|
|
|
30 |
12 |
p. 6732-6739
|
article
|
| 55 |
Radiomics risk score may be a potential imaging biomarker for predicting survival in isocitrate dehydrogenase wild-type lower-grade gliomas
|
Park, Chae Jung
|
|
|
30 |
12 |
p. 6464-6474
|
article
|
| 56 |
Solitary solid pulmonary nodules: a CT-based deep learning nomogram helps differentiate tuberculosis granulomas from lung adenocarcinomas
|
Feng, Bao
|
|
|
30 |
12 |
p. 6497-6507
|
article
|
| 57 |
The combination of hepatobiliary phase with Gd-EOB-DTPA and DWI is highly accurate for the detection and characterization of liver metastases from neuroendocrine tumor
|
Hayoz, Roschan
|
|
|
30 |
12 |
p. 6593-6602
|
article
|
| 58 |
Towards reference values of pericoronary adipose tissue attenuation: impact of coronary artery and tube voltage in coronary computed tomography angiography
|
Ma, Runlei
|
|
|
30 |
12 |
p. 6838-6846
|
article
|
| 59 |
Use of dental MRI for radiation-free guided dental implant planning: a prospective, in vivo study of accuracy and reliability
|
Hilgenfeld, Tim
|
|
|
30 |
12 |
p. 6392-6401
|
article
|
| 60 |
Using decision curve analysis to benchmark performance of a magnetic resonance imaging–based deep learning model for prostate cancer risk assessment
|
Deniffel, Dominik
|
|
|
30 |
12 |
p. 6867-6876
|
article
|
| 61 |
Utility of sonoelastography for the evaluation of rotator cuff tendon and pertinent disorders: a systematic review and meta-analysis
|
Chiu, Yi-Hsiang
|
|
|
30 |
12 |
p. 6663-6672
|
article
|
| 62 |
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
|
Morell-Hofert, Dagmar
|
|
|
30 |
12 |
p. 6570-6581
|
article
|
| 63 |
Vessel-selective 4D-MR angiography using super-selective pseudo-continuous arterial spin labeling may be a useful tool for assessing brain AVM hemodynamics
|
Togao, Osamu
|
|
|
30 |
12 |
p. 6452-6463
|
article
|
| 64 |
Wall enhancement on black-blood MRI is independently associated with symptomatic status of unruptured intracranial saccular aneurysm
|
Zhu, Chengcheng
|
|
|
30 |
12 |
p. 6413-6420
|
article
|
Journal description