Publications by authors named "Maria Lyasheva"

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Cost-effectiveness of a novel AI technology to quantify coronary inflammation and cardiovascular risk in patients undergoing routine coronary computed tomography angiography.
Apostolos Tsiachristas, Kenneth Chan, Elizabeth Wahome, Ben Kearns, Parijat Patel, Maria Lyasheva

Eur Heart J Qual Care Clin Outcomes· June 2025

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Inflammatory risk and cardiovascular events in patients without obstructive coronary artery disease: the ORFAN multicentre, longitudinal cohort study.
Kenneth Chan, Elizabeth Wahome, Apostolos Tsiachristas, Alexios S Antonopoulos, Parijat Patel, Maria Lyasheva

Lancet· June 2024

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Deep-Learning for Epicardial Adipose Tissue Assessment With Computed Tomography: Implications for Cardiovascular Risk Prediction.
Henry W West, Muhammad Siddique, Michelle C Williams, Lucrezia Volpe, Ria Desai, Maria Lyasheva

JACC Cardiovasc Imaging· June 2023

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Constructing custom-made radiotranscriptomic signatures of vascular inflammation from routine CT angiograms: a prospective outcomes validation study in COVID-19.
Christos P Kotanidis, Cheng Xie, Donna Alexander, Jonathan C L Rodrigues, Katie Burnham, Maria Lyasheva

Lancet Digit Health· October 2022

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Predicting Survival in Patients with Brain Tumors: Current State-of-the-Art of AI Methods Applied to MRI.
Christian di Noia, James T Grist, Frank Riemer, Maria Lyasheva, Miriana Fabozzi

Diagnostics (Basel)· September 2022

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Filtration-histogram based texture analysis and CALIPER based pattern analysis as quantitative CT techniques in idiopathic pulmonary fibrosis: head-to-head comparison.
Yazeed AlDalilah, Balaji Ganeshan, Raymond Endozo, Jamshed Bomanji, Joanna C Porter, Maria Lyasheva

Br J Radiol· June 2022

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The use of multiparametric 18F-fluoro-L-3,4-dihydroxy-phenylalanine PET/MRI in post-therapy assessment of patients with gliomas.
Francesco Fraioli, Ananth Shankar, Harpreet Hyare, Valentina Ferrazzoli, Vincenzo Militano, Maria Lyasheva

Nucl Med Commun· June 2020

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A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography.
Evangelos K Oikonomou, Michelle C Williams, Christos P Kotanidis, Milind Y Desai, Mohamed Marwan, Maria Lyasheva

Eur Heart J· November 2019

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Synergistic application of pulmonary F-FDG PET/HRCT and computer-based CT analysis with conventional severity measures to refine current risk stratification in idiopathic pulmonary fibrosis (IPF).
Francesco Fraioli, Maria Lyasheva, Joanna C Porter, Jamshed Bomanji, Robert I Shortman

Eur J Nucl Med Mol Imaging· September 2019

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