Automated Comprehensive Interpretation of 12-lead Electrocardiograms Using Pre-trained Exponentially Dilated Causal Convolutional Neural Networks. - Max N. Bos; Rutger R. van de Leur; Jeroen F. Vranken; Deepak K. Gupta; Pim van der Harst; Pieter A. F. M. Doevendans; René van Es (CinC, 2020)

Automated Diagnosis of Reduced-Lead Electrocardiograms Using a Shared Classifier. - H. T. Jessen; Rutger R. van de Leur; Pieter A. F. M. Doevendans; René van Es (CinC, 2021)

Interpretable ECG classification via a query-based latent space traversal (qLST). - Melle B. Vessies; Sharvaree P. Vadgama; Rutger R. van de Leur; Pieter A. F. M. Doevendans; Rutger J. Hassink; Erik J. Bekkers; René van Es (CoRR, 2021)

Learning to Automatically Generate Accurate ECG Captions. - Mathieu G. G. Bartels; Ivona Najdenkoska; Rutger R. van de Leur; Arjan Sammani; Karim Taha; David M. Knigge; Pieter A. F. M. Doevendans; Marcel Worring; René van Es (MIDL, 2022)

On the design and development of a handheld electrocardiogram device in a clinical setting. - Alejandra Zepeda-Echavarria; Niek C. M. Ratering Arntz; Albert H. Westra; Leonard J. van Schelven; Froukje E. Euwe; Herke Jan Noordmans; Melle Vessies; Rutger R. van de Leur; Rutger J. Hassink; Thierry X. Wildbergh; Rien van der Zee; Pieter A. Doevendans; et al. (Frontiers Digit. Health, 2024)