Repairing dynamic models: a method to obtain identifiable and observable reparameterizations with mechanistic insights. - Gemma Massonis; Julio R. Banga; Alejandro Fernández Villaverde (CoRR, 2020)

Finding and Breaking Lie Symmetries: Implications for Structural Identifiability and Observability in Biological Modelling. - Gemma Massonis; Alejandro Fernández Villaverde (Symmetry, 2020)

Structural identifiability and observability of compartmental models of the COVID-19 pandemic. - Gemma Massonis; Julio R. Banga; Alejandro Fernández Villaverde (Annu. Rev. Control., 2021)

On testing structural identifiability by a simple scaling method: Relying on scaling symmetries can be misleading. - Alejandro Fernández Villaverde; Gemma Massonis (PLoS Comput. Biol., 2021)

Optimal Coronary Artery Segmentation Based on Transfer Learning and UNet Architecture. - Belén Serrano-Antón; Alberto Otero-Cacho; Diego López-Otero; Brais Díaz-Fernández; María Bastos-Fernández; Gemma Massonis; Santiago Pendón; Vicente Pérez-Muñuzuri; José Ramón González-Juanatey; Alberto P. Muñuzuri (ShapeMI@MICCAI, 2023)

Improving dynamic predictions with ensembles of observable models. - Gemma Massonis; Alejandro F. Villaverde; Julio R. Banga (Bioinform., 2023)

Distilling identifiable and interpretable dynamic models from biological data. - Gemma Massonis; Alejandro F. Villaverde; Julio R. Banga (PLoS Comput. Biol., 2023)