Iacopo Olivotto

According to our database, Iacopo Olivotto authored at least 8 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Improving Risk Stratification in Hypertrophic Cardiomyopathy: A Novel Score Combining Echocardiography, Clinical, and Medication Data.

Marion Taconné, Valentina D. A. Corino, Annamaria Del Franco, Sara Giovani, Iacopo Olivotto, Adrien Al Wazzan, Erwan Donal, Pietro Cerveri, Luca T. Mainardi

CoRR, March, 2026

2025

A Multidimensional Framework for Data Quality Assessment in Heart Failure: Integrating IEEE 2801-2022 and Fairness Metrics.

Marina Georgoula, Grigorios G. Kotoulas, Konstantina-Helen Tsarapatsani, Dimitrios G. Boucharas, Ioannis Kyprakis, Dimitrios Manousos, Andrej Preveden, Lazar U. Velicki, Amy Groenewegen, Frans Rutten, Borut Flis, Matej Piculin, Peter Vracar, Zoran Bosnic, Maria Tafelmeier, Lars S. Maier, Fausto Barlocco, Iacopo Olivotto, Marta Jimenez-Blanco, Jose Luis Zamorano, Duncan Edwards, Prithwish Banerjee, Nduka C. Okwose, Sarah Charman, Djordje G. Jakovljevic, Manolis Tsiknakis, Dimitrios I. Fotiadis

Proceedings of the 25th IEEE International Conference on Bioinformatics and Bioengineering, 2025

2024

Electrophysiological mechanisms underlying T wave pseudonormalisation on stress ECGs in hypertrophic cardiomyopathy.

James A. Coleman, Rubén Doste, Matteo Beltrami, Raffaele Coppini, Iacopo Olivotto, Betty Raman, Alfonso Bueno-Orovio

Comput. Biol. Medicine, February, 2024

2022

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

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

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, Lars Maier, Lazar U. Velicki, Guy A. MacGowan, Iacopo Olivotto, Nenad Filipovic, Djordje G. Jakovljevic, Zoran Bosnic

Comput. Biol. Medicine, 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, Athanasios G. Tzioufas, Dimitrios I. Fotiadis

Comput. Biol. Medicine, 2021

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

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

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

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020