Inter-Center Cross-Validation and Finetuning without Patient Data Sharing for Predicting Transcatheter Aortic Valve Implantation Outcome. - Ricardo R. Lopes; Marco Mamprin; Jo M. Zelis; Pim A. L. Tonino; Martijn S. van Mourik; Marije M. Vis; Sveta Zinger; Bas A. J. M. de Mol; Peter H. N. de With; Henk A. Marquering (CBMS, 2020)

Gradient Boosting on Decision Trees for Mortality Prediction in Transcatheter Aortic Valve Implantation. - Marco Mamprin; Svitlana Zinger; Peter H. N. de With; Jo M. Zelis; Pim A. L. Tonino (ICBET, 2020)

Wearable devices can predict the outcome of standardized 6-minute walk tests in heart disease. - Charlotte Schubert; Gareth Archer; Jo M. Zelis; Sarah Nordmeyer; Kilian Runte; Anja Hennemuth; Felix Berger; Volkmar Falk; Pim A. L. Tonino; Rod Hose; Herman J. ter Horst; Titus Kühne; et al. (npj Digit. Medicine, 2020)

Identification of patients at risk of cardiac conduction diseases requiring a permanent pacemaker following TAVI procedure: a deep-learning approach on ECG signals. - Marco Mamprin; Jo M. Zelis; Pim A. L. Tonino; Svitlana Zinger; Peter H. N. de With (ICBET, 2022)

Evaluation of models of sequestration flow in coronary arteries - Physiology versus anatomy? - Daniel J. Taylor; Harry Saxton; Ian Halliday; Tom Newman; Jeroen Feher; Rebecca Gosling; Andrew J. Narracott; Denise van Kemenade; Marcel van 't Veer; Pim A. L. Tonino; Michel Rochette; D. Rodney Hose; et al. (Comput. Biol. Medicine, 2024)