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Table representation of search results timeline featuring number of search results per year.
Year | Number of Results |
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2019 | 2 |
2020 | 1 |
2022 | 3 |
2023 | 1 |
2024 | 0 |
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Page 1
Deep-Learning for Epicardial Adipose Tissue Assessment With Computed Tomography: Implications for Cardiovascular Risk Prediction.
JACC Cardiovasc Imaging. 2023 Jun;16(6):800-816. doi: 10.1016/j.jcmg.2022.11.018. Epub 2023 Feb 8.
JACC Cardiovasc Imaging. 2023.
PMID: 36881425
Free PMC article.
A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography.
Oikonomou EK, Williams MC, Kotanidis CP, Desai MY, Marwan M, Antonopoulos AS, Thomas KE, Thomas S, Akoumianakis I, Fan LM, Kesavan S, Herdman L, Alashi A, Centeno EH, Lyasheva M, Griffin BP, Flamm SD, Shirodaria C, Sabharwal N, Kelion A, Dweck MR, Van Beek EJR, Deanfield J, Hopewell JC, Neubauer S, Channon KM, Achenbach S, Newby DE, Antoniades C.
Oikonomou EK, et al. Among authors: lyasheva m.
Eur Heart J. 2019 Nov 14;40(43):3529-3543. doi: 10.1093/eurheartj/ehz592.
Eur Heart J. 2019.
PMID: 31504423
Free PMC article.
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Constructing custom-made radiotranscriptomic signatures of vascular inflammation from routine CT angiograms: a prospective outcomes validation study in COVID-19.
Kotanidis CP, Xie C, Alexander D, Rodrigues JCL, Burnham K, Mentzer A, O'Connor D, Knight J, Siddique M, Lockstone H, Thomas S, Kotronias R, Oikonomou EK, Badi I, Lyasheva M, Shirodaria C, Lumley SF, Constantinides B, Sanderson N, Rodger G, Chau KK, Lodge A, Tsakok M, Gleeson F, Adlam D, Rao P, Indrajeet D, Deshpande A, Bajaj A, Hudson BJ, Srivastava V, Farid S, Krasopoulos G, Sayeed R, Ho LP, Neubauer S, Newby DE, Channon KM, Deanfield J, Antoniades C; COMBAT Consortium; ORFAN investigators.
Kotanidis CP, et al. Among authors: lyasheva m.
Lancet Digit Health. 2022 Oct;4(10):e705-e716. doi: 10.1016/S2589-7500(22)00132-7. Epub 2022 Aug 26.
Lancet Digit Health. 2022.
PMID: 36038496
Free PMC article.
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Predicting Survival in Patients with Brain Tumors: Current State-of-the-Art of AI Methods Applied to MRI.
di Noia C, Grist JT, Riemer F, Lyasheva M, Fabozzi M, Castelli M, Lodi R, Tonon C, Rundo L, Zaccagna F.
di Noia C, et al. Among authors: lyasheva m.
Diagnostics (Basel). 2022 Sep 1;12(9):2125. doi: 10.3390/diagnostics12092125.
Diagnostics (Basel). 2022.
PMID: 36140526
Free PMC article.
Review.
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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.
AlDalilah Y, Ganeshan B, Endozo R, Bomanji J, Porter JC, Machado M, Bertoletti L, Lilburn D, Lyasheva M, Groves AM, Fraioli F.
AlDalilah Y, et al. Among authors: lyasheva m.
Br J Radiol. 2022 Jun;95(1134):20210957. doi: 10.1259/bjr.20210957. Epub 2022 Feb 22.
Br J Radiol. 2022.
PMID: 35191759
Free PMC article.
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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.
Fraioli F, Shankar A, Hyare H, Ferrazzoli V, Militano V, Samandouras G, Mankad K, Solda F, Zaccagna F, Mehdi E, Lyasheva M, Bomanji J, Novruzov F.
Fraioli F, et al. Among authors: lyasheva m.
Nucl Med Commun. 2020 Jun;41(6):517-525. doi: 10.1097/MNM.0000000000001184.
Nucl Med Commun. 2020.
PMID: 32282634
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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).
Fraioli F, Lyasheva M, Porter JC, Bomanji J, Shortman RI, Endozo R, Wan S, Bertoletti L, Machado M, Ganeshan B, Win T, Groves AM.
Fraioli F, et al. Among authors: lyasheva m.
Eur J Nucl Med Mol Imaging. 2019 Sep;46(10):2023-2031. doi: 10.1007/s00259-019-04386-5. Epub 2019 Jul 8.
Eur J Nucl Med Mol Imaging. 2019.
PMID: 31286201
Free PMC article.
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