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2020 – today
- 2024
[j3]James A. Coleman
, Rubén Doste, Matteo Beltrami, Raffaele Coppini, Iacopo Olivotto, Betty Raman, Alfonso Bueno-Orovio:
Electrophysiological mechanisms underlying T wave pseudonormalisation on stress ECGs in hypertrophic cardiomyopathy. Comput. Biol. Medicine 169: 107829 (2024)- 2022
- [c3]Vasileios C. Pezoulas, Nikolaos S. Tachos, Iacopo Olivotto, Fausto Barlocco, Dimitrios I. Fotiadis:
A "smart" Imputation Approach for Effective Quality Control Across Complex Clinical Data Structures. EMBC 2022: 1049-1052 - 2021
- [j2]Vasileios C. Pezoulas, Grigoris I. Grigoriadis, George Gkois, Nikolaos S. Tachos, Tim Smole, Zoran Bosnic, Matej Piculin, Iacopo Olivotto, Fausto Barlocco, Marko Robnik-Sikonja, Djordje G. Jakovljevic, Andreas Goules, Athanasios G. Tzioufas, Dimitrios I. Fotiadis:
A computational pipeline for data augmentation towards the improvement of disease classification and risk stratification models: A case study in two clinical domains. Comput. Biol. Medicine 134: 104520 (2021) - [j1]Tim Smole, Bojan Zunkovic, Matej Piculin, Enja Kokalj, Marko Robnik-Sikonja, Matjaz Kukar, Dimitrios I. Fotiadis, Vasileios C. Pezoulas, Nikolaos S. Tachos, Fausto Barlocco, Francesco Mazzarotto, Dejana Popovic, Lars Maier, Lazar U. Velicki, Guy A. MacGowan, Iacopo Olivotto, Nenad Filipovic, Djordje G. Jakovljevic, Zoran Bosnic:
A machine learning-based risk stratification model for ventricular tachycardia and heart failure in hypertrophic cardiomyopathy. Comput. Biol. Medicine 135: 104648 (2021) - [c2]Vasileios C. Pezoulas, Grigorios I. Grigoriadis, Nikolaos S. Tachos, Fausto Barlocco, Iacopo Olivotto, Dimitrios I. Fotiadis:
Variational Gaussian Mixture Models with robust Dirichlet concentration priors for virtual population generation in hypertrophic cardiomyopathy: a comparison study. EMBC 2021: 1674-1677 - 2020
- [c1]Vasileios C. Pezoulas, Grigorios I. Grigoriadis, Nikolaos S. Tachos, Fausto Barlocco, Iacopo Olivotto, Dimitrios I. Fotiadis:
Generation of virtual patient data for in-silico cardiomyopathies drug development using tree ensembles: a comparative study. EMBC 2020: 5343-5346
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