Irene Balelli

According to our database, Irene Balelli authored at least 8 papers between 2021 and 2026.

Collaborative distances:

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

2026

Multi-channel causal variational autoencoder for multimodal biomedical causal disentanglement.

Safaa Al-Ali, Irene Balelli

J. Biomed. Informatics, 2026

2025

Cardiac Electromechanical Model Sensitivity Analysis Using Causal Discovery.

Safaa Al-Ali, Jesus Jairo Rodríguez Padilla, Maxime Sermesant, Irene Balelli

Proceedings of the Functional Imaging and Modeling of the Heart, 2025

2024

Parameter estimation in nonlinear mixed effect models based on ordinary differential equations: an optimal control approach.

Quentin Clairon, Chloé Pasin, Irene Balelli, Rodolphe Thiébaut, Mélanie Prague

Comput. Stat., September, 2024

2023

Fed-BioMed: Open, Transparent and Trusted Federated Learning for Real-world Healthcare Applications.

Francesco Cremonesi, Marc Vesin, Sergen Cansiz, Yannick Bouillard, Irene Balelli, Lucia Innocenti, Santiago Silva, Samy-Safwan Ayed, Riccardo Taiello, Laetitia Kameni, Richard Vidal, Fanny Orlhac, Christophe Nioche, Nathan Lapel, Bastien Houis, Romain Modzelewski, Olivier Humbert, Melek Önen, Marco Lorenzi

CoRR, 2023

Fed-MIWAE: Federated Imputation of Incomplete Data via Deep Generative Models.

Irene Balelli, Aude Sportisse, Francesco Cremonesi, Pierre-Alexandre Mattei, Marco Lorenzi

CoRR, 2023

A Causal Discovery Approach to Streamline Ionic Currents Selection to Improve Drug-Induced TdP Risk Assessment.

Safaa Al-Ali, Jordi Llopis-Lorente, Maria Teresa Mora, Maxime Sermesant, Beatriz Trénor, Irene Balelli

Proceedings of the Computing in Cardiology, 2023

2022

A Differentially Private Probabilistic Framework for Modeling the Variability Across Federated Datasets of Heterogeneous Multi-View Observations.

Irene Balelli, Santiago Silva, Marco Lorenzi

CoRR, 2022

2021

A Probabilistic Framework for Modeling the Variability Across Federated Datasets.

Irene Balelli, Santiago Silva, Marco Lorenzi

Proceedings of the Information Processing in Medical Imaging, 2021