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1.
Diagnostic accuracy of automated ACR BI-RADS breast density classification using deep convolutional neural networks.
Eur Radiol
; 33(7): 4589-4596, 2023 Jul.
Artículo
en Inglés
| MEDLINE | ID: mdl-36856841
2.
State-of-the-art CT and MR imaging and assessment of atherosclerotic carotid artery disease: the reporting-a consensus document by the European Society of Cardiovascular Radiology (ESCR).
Eur Radiol
; 33(2): 1088-1101, 2023 Feb.
Artículo
en Inglés
| MEDLINE | ID: mdl-36194266
3.
State-of-the-art CT and MR imaging and assessment of atherosclerotic carotid artery disease: standardization of scanning protocols and measurements-a consensus document by the European Society of Cardiovascular Radiology (ESCR).
Eur Radiol
; 33(2): 1063-1087, 2023 Feb.
Artículo
en Inglés
| MEDLINE | ID: mdl-36194267
4.
MRI lung lobe segmentation in pediatric cystic fibrosis patients using a recurrent neural network trained with publicly accessible CT datasets.
Magn Reson Med
; 88(1): 391-405, 2022 07.
Artículo
en Inglés
| MEDLINE | ID: mdl-35348244
5.
Machine learning in cardiovascular radiology: ESCR position statement on design requirements, quality assessment, current applications, opportunities, and challenges.
Eur Radiol
; 31(6): 3909-3922, 2021 Jun.
Artículo
en Inglés
| MEDLINE | ID: mdl-33211147
6.
Building Large-Scale Quantitative Imaging Databases with Multi-Scale Deep Reinforcement Learning: Initial Experience with Whole-Body Organ Volumetric Analyses.
J Digit Imaging
; 34(1): 124-133, 2021 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-33469724
7.
Automated detection of pulmonary embolism in CT pulmonary angiograms using an AI-powered algorithm.
Eur Radiol
; 30(12): 6545-6553, 2020 Dec.
Artículo
en Inglés
| MEDLINE | ID: mdl-32621243
8.
Correction to: State-of-the-art CT and MR imaging and assessment of atherosclerotic carotid artery disease: the reporting-a consensus document by the European Society of Cardiovascular Radiology (ESCR).
Eur Radiol
; 33(2): 1499-1500, 2023 Feb.
Artículo
en Inglés
| MEDLINE | ID: mdl-36445481
9.
Correction to: State-of-the-art CT and MR imaging and assessment of atherosclerotic carotid artery disease: standardization of scanning protocols and measurements-a consensus document by the European Society of Cardiovascular Radiology (ESCR).
Eur Radiol
; 33(2): 1497-1498, 2023 Feb.
Artículo
en Inglés
| MEDLINE | ID: mdl-36443436
10.
The impact of a CACNA1C gene polymorphism on learning and hippocampal formation in healthy individuals: a diffusion tensor imaging study.
Neuroimage
; 89: 256-61, 2014 Apr 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-24269271
11.
Visual and quantitative assessment of hip implant-related metal artifacts at low field MRI: a phantom study comparing a 0.55-T system with 1.5-T and 3-T systems.
Eur Radiol Exp
; 7(1): 5, 2023 02 08.
Artículo
en Inglés
| MEDLINE | ID: mdl-36750494
12.
Reduction in Radiologist Interpretation Time of Serial CT and MR Imaging Findings with Deep Learning Identification of Relevant Priors, Series and Finding Locations.
Acad Radiol
; 30(10): 2269-2279, 2023 10.
Artículo
en Inglés
| MEDLINE | ID: mdl-37210268
13.
Utilization of Artificial Intelligence-based Intracranial Hemorrhage Detection on Emergent Noncontrast CT Images in Clinical Workflow.
Radiol Artif Intell
; 4(2): e210168, 2022 Mar.
Artículo
en Inglés
| MEDLINE | ID: mdl-35391777
14.
Natural Language Processing and Graph Theory: Making Sense of Imaging Records in a Novel Representation Frame.
JMIR Med Inform
; 10(12): e40534, 2022 Dec 21.
Artículo
en Inglés
| MEDLINE | ID: mdl-36542426
15.
Automated Detection, Segmentation, and Classification of Pericardial Effusions on Chest CT Using a Deep Convolutional Neural Network.
Diagnostics (Basel)
; 12(5)2022 Apr 21.
Artículo
en Inglés
| MEDLINE | ID: mdl-35626201
16.
Automated Detection, Segmentation, and Classification of Pleural Effusion From Computed Tomography Scans Using Machine Learning.
Invest Radiol
; 57(8): 552-559, 2022 08 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-35797580
17.
Automated lung vessel segmentation reveals blood vessel volume redistribution in viral pneumonia.
Eur J Radiol
; 150: 110259, 2022 May.
Artículo
en Inglés
| MEDLINE | ID: mdl-35334245
18.
Automated quantification of airway wall thickness on chest CT using retina U-Nets - Performance evaluation and application to a large cohort of chest CTs of COPD patients.
Eur J Radiol
; 155: 110460, 2022 Oct.
Artículo
en Inglés
| MEDLINE | ID: mdl-35963191
19.
Automated CT Lung Density Analysis of Viral Pneumonia and Healthy Lungs Using Deep Learning-Based Segmentation, Histograms and HU Thresholds.
Diagnostics (Basel)
; 11(5)2021 Apr 21.
Artículo
en Inglés
| MEDLINE | ID: mdl-33919094
20.
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 months after technical implementation.
Eur J Radiol
; 141: 109816, 2021 Aug.
Artículo
en Inglés
| MEDLINE | ID: mdl-34157638