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Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment, 2001-10, Vol.472 (1), p.30-36

Kwieciński, J.

2001

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Non-invasive characterization of pancoronary inflammation by computed tomography angiography in patients with recent spontaneous coronary dissection

European heart journal, 2022-10, Vol.43 (Supplement_2)

2022

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Unsupervised machine learning improves risk stratification of patients with visual normal SPECT myocardial perfusion imaging assessments

European heart journal, 2022-10, Vol.43 (Supplement_2)

2022

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Saturation model for two-photon interactions at high energies

The European physical journal. C, Particles and fields, 2002-04, Vol.23 (3), p.513-526

2002

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18F-sodium fluoride positron emission tomography and coronary plaque radiomics derived from computed tomography angiography for prediction of myocardial infarction

European heart journal, 2022-10, Vol.43 (Supplement_2)

2022

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Predicting left atrial appendage thrombus in patients with persistent atrial fibrillation or flutter and no oral anticoagulation using machine-learning models

Europace (London, England), 2024-05, Vol.26 (Supplement_1)

2024

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Coronary Plaque Radiomic Phenotypes Are Associated With Major Adverse Cardiac Events: Insights From The SCOT-HEART Trial

Journal of cardiovascular computed tomography, 2023-07, Vol.17 (4), p.S34-S34

2023

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Machine Learning To Predict High-Risk Coronary Artery Disease On Computed Tomography In The Scot-heart Trial

Journal of cardiovascular computed tomography, 2024-07, Vol.18 (4), p.S11-S11

2024

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18F-Sodium fluoride positron emission tomography, aortic disease activity and ischaemic stroke risk

European heart journal, 2021-10, Vol.42 (Supplement_1)

2021

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Biofilm formation by pathogenic Prototheca algae

Screening effects in the ultra-high energy neutrino interactions

The effect of molecular weight on hyaluronan’s cartilage boundary lubricating ability – alone and in combination with proteoglycan 4

Staphylococcus aureus Aggregation and Coagulation Mechanisms, and Their Function in Host–Pathogen Interactions

Chitosan–protein scaffolds loaded with lysostaphin as potential antistaphylococcal wound dressing materials

Rare morphological variants of the bones: epicondylar processes, metopic suture and Wormian bones in XVIII century skeleton

Unified BFKL and Gribov-Lipatov-Altarelli-Parisi description of F 2 data

Infarct-related artery and long-term mortality following recurrent ST-elevation myocardial infarction; insights from a Polish nationwide registry

Preprocedural computed tomography angiography for prediction of transcatheter aortic valve implantation outcomes. A machine learning study

Penetration of the Earth by ultrahigh energy neutrinos predicted by low x QCD

Unintegrated CCFM parton distributions and transverse momentum of gauge bosons

Quantification of aortic valve fibrosis and calcification by computed tomography angiography: a prospective head-to-head comparison with histology

Non-invasive quantitative characterization of aortic valve tissue composition from computed tomography angiography improves patient risk stratification in transcatheter aortic valve implantation

18F-sodium fluoride coronary uptake in patients with coronary artery bypass grafts

Probing the QCD pomeron in doubly tagged e+e− collisions

Geometric scaling for the total gamma()p cross section in the low x region

QCD at photon colliders

Non-invasive characterization of pancoronary inflammation by computed tomography angiography in patients with recent spontaneous coronary dissection

Unsupervised machine learning improves risk stratification of patients with visual normal SPECT myocardial perfusion imaging assessments

Saturation model for two-photon interactions at high energies

18F-sodium fluoride positron emission tomography and coronary plaque radiomics derived from computed tomography angiography for prediction of myocardial infarction

Predicting left atrial appendage thrombus in patients with persistent atrial fibrillation or flutter and no oral anticoagulation using machine-learning models

Coronary Plaque Radiomic Phenotypes Are Associated With Major Adverse Cardiac Events: Insights From The SCOT-HEART Trial

Machine Learning To Predict High-Risk Coronary Artery Disease On Computed Tomography In The Scot-heart Trial

18F-Sodium fluoride positron emission tomography, aortic disease activity and ischaemic stroke risk

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