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1.
Inflammatory risk and cardiovascular events in patients without obstructive coronary artery disease: the ORFAN multicentre, longitudinal cohort study.
Lancet
; 2024 May 29.
Artículo
en Inglés
| MEDLINE | ID: mdl-38823406
2.
A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography.
Eur Heart J
; 40(43): 3529-3543, 2019 11 14.
Artículo
en Inglés
| MEDLINE | ID: mdl-31504423
3.
Synergistic application of pulmonary 18F-FDG PET/HRCT and computer-based CT analysis with conventional severity measures to refine current risk stratification in idiopathic pulmonary fibrosis (IPF).
Eur J Nucl Med Mol Imaging
; 46(10): 2023-2031, 2019 Sep.
Artículo
en Inglés
| MEDLINE | ID: mdl-31286201
4.
Deep-Learning for Epicardial Adipose Tissue Assessment With Computed Tomography: Implications for Cardiovascular Risk Prediction.
JACC Cardiovasc Imaging
; 16(6): 800-816, 2023 06.
Artículo
en Inglés
| MEDLINE | ID: mdl-36881425
5.
Predicting Survival in Patients with Brain Tumors: Current State-of-the-Art of AI Methods Applied to MRI.
Diagnostics (Basel)
; 12(9)2022 Sep 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-36140526
6.
Filtration-histogram based texture analysis and CALIPER based pattern analysis as quantitative CT techniques in idiopathic pulmonary fibrosis: head-to-head comparison.
Br J Radiol
; 95(1134): 20210957, 2022 Jun.
Artículo
en Inglés
| MEDLINE | ID: mdl-35191759
7.
Constructing custom-made radiotranscriptomic signatures of vascular inflammation from routine CT angiograms: a prospective outcomes validation study in COVID-19.
Lancet Digit Health
; 4(10): e705-e716, 2022 10.
Artículo
en Inglés
| MEDLINE | ID: mdl-36038496
8.
The use of multiparametric 18F-fluoro-L-3,4-dihydroxy-phenylalanine PET/MRI in post-therapy assessment of patients with gliomas.
Nucl Med Commun
; 41(6): 517-525, 2020 Jun.
Artículo
en Inglés
| MEDLINE | ID: mdl-32282634
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