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Diagnostics (Basel, Switzerland)|October 23, 2021
A Machine Learning Approach for Chronic Heart Failure DiagnosisDafni K Plati, Evanthia E Tripoliti, Aris Bechlioulis, et al.
Clinical and Experimental Rheumatology|October 23, 2020
A Training Tool to support the management and diagnosis of Sjögren's syndromeChariklia Chatzaki, Andreas Goules, Salvatore De Vita, et al.
Computers in Biology and Medicine|February 19, 2021
A machine learning-based pipeline for modeling medical, socio-demographic, lifestyle and self-reported psychological traits as predictors of mental health outcomes after breast cancer diagnosis: An initial effort to define resilience effectsKonstantina Kourou, Georgios Manikis, Paula Poikonen-Saksela, et al.
Computers in Biology and Medicine|June 12, 2021
A computational pipeline for data augmentation towards the improvement of disease classification and risk stratification models: A case study in two clinical domainsVasileios C Pezoulas, Grigoris I Grigoriadis, George Gkois, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Computational assessment of the fractional flow reserve from intravascular ultrasound and coronary angiography data: a pilot studyPanagiotis K Siogkas, Michail I Papafaklis, Antonis I Sakellarios, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Unveiling Predictors of Parkinson's Disease Progression: A Machine Learning Approach with Questionnaire and Wearable Device DataOrestis D Papagiannopoulos, Eleni I Georga, Eunate Arana Arri, et al.
Angiology|April 16, 2016
Natural History of Carotid Atherosclerosis in Relation to the Hemodynamic EnvironmentAntonis I Sakellarios, Paschalis Bizopoulos, Michail I Papafaklis, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Computational modeling of atherosclerotic plaque progression in carotid lesions with moderate degree of stenosis<sup></sup>Michalis D Mantzaris, Panagiotis K Siogkas, Vassilis D Tsakanikas, et al.
BMC Medical Imaging|January 21, 2016
Three-dimensional reconstruction of coronary arteries and plaque morphology using CT angiography--comparison and registration with IVUSLambros Athanasiou, George Rigas, Antonis I Sakellarios, et al.
Eurointervention : Journal of Europcr in Collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology|June 14, 2017
The effect of coronary bifurcation and haemodynamics in prediction of atherosclerotic plaque development: a serial computed tomographic coronary angiographic studyAntonis Sakellarios, Christos V Bourantas, Stella-Lida Papadopoulou, et al.
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