A machine learning approach for real-time modelling of tissue deformation in image-guided neurosurgery. - Michele Tonutti; Gauthier Gras; Guang-Zhong Yang (Artif. Intell. Medicine, 2017)

Bayesian Modelling in Practice: Using Uncertainty to Improve Trustworthiness in Medical Applications. - David Ruhe; Giovanni Ciná; Michele Tonutti; Daan P. de Bruin; Paul W. G. Elbers (CoRR, 2019)

Robust and subject-independent driving manoeuvre anticipation through Domain-Adversarial Recurrent Neural Networks. - Michele Tonutti; Emanuele Ruffaldi; Alessandro Cattaneo; Carlo Alberto Avizzano (Robotics Auton. Syst., 2019)

Uncertainty estimation for classification and risk prediction in medical settings. - Lotta Meijerink; Giovanni Ciná; Michele Tonutti (CoRR, 2020)

Assess and validate predictive performance of models for in-hospital mortality in COVID-19 patients: A retrospective cohort study in the Netherlands comparing the value of registry data with high-granular electronic health records. - Iacopo Vagliano; Martijn C. Schut; Ameen Abu-Hanna; Dave A. Dongelmans; Dylan W. De Lange; Diederik Gommers; Olaf L. Cremer; Rob J. Bosman; Sander Rigter; Evert-Jan Wils; Tim Frenzel; Remko de Jong; et al. (Int. J. Medical Informatics, 2022)