Generation of virtual patient data for in-silico cardiomyopathies drug development using tree ensembles: a comparative study. - Vasileios C. Pezoulas; Grigorios I. Grigoriadis; Nikolaos S. Tachos; Fausto Barlocco; Iacopo Olivotto; Dimitrios I. Fotiadis (EMBC, 2020)

Variational Gaussian Mixture Models with robust Dirichlet concentration priors for virtual population generation in hypertrophic cardiomyopathy: a comparison study. - Vasileios C. Pezoulas; Grigorios I. Grigoriadis; Nikolaos S. Tachos; Fausto Barlocco; Iacopo Olivotto; Dimitrios I. Fotiadis (EMBC, 2021)

A computational pipeline for data augmentation towards the improvement of disease classification and risk stratification models: A case study in two clinical domains. - 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; et al. (Comput. Biol. Medicine, 2021)

A machine learning-based risk stratification model for ventricular tachycardia and heart failure in hypertrophic cardiomyopathy. - 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; et al. (Comput. Biol. Medicine, 2021)

A "smart" Imputation Approach for Effective Quality Control Across Complex Clinical Data Structures. - Vasileios C. Pezoulas; Nikolaos S. Tachos; Iacopo Olivotto; Fausto Barlocco; Dimitrios I. Fotiadis (EMBC, 2022)