Weakly-Supervised Deep Learning for Left Ventricle Fibrosis Segmentation in Cardiac MRI Using Image-Level Labels. - Roel C. Klein; Florence E. van Lieshout; Maarten Z. Kolk; Kylian van Geijtenbeek; Romy Vos; Samuel Ruipérez-Campillo; Ruibin Feng; Brototo Deb; Prasanth Ganesan; Reinoud Knops; Ivana Isgum; Sanjiv M. Narayan; et al. (CinC, 2022)

Deep Learning for Ventricular Arrhythmia Prediction Using Fibrosis Segmentations on Cardiac MRI Data. - Florence E. van Lieshout; Roel C. Klein; Maarten Z. Kolk; Kylian van Geijtenbeek; Romy Vos; Samuel Ruipérez-Campillo; Ruibin Feng; Brototo Deb; Prasanth Ganesan; Reinoud Knops; Ivana Isgum; Sanjiv M. Narayan; et al. (CinC, 2022)

Deep Learning for Automatic Strain Quantification in Arrhythmogenic Right Ventricular Cardiomyopathy. - Laura Alvarez-Florez; Jörg Sander 003; Mimount Bourfiss; Fleur V. Y. Tjong; Birgitta K. Velthuis; Ivana Isgum (STACOM@MICCAI, 2023)

Can Generative AI Learn Physiological Waveform Morphologies? A Study on Denoising Intracardiac Signals in Ischemic Cardiomyopathy. - Samuel Ruipérez-Campillo; Alain Ryser; Thomas M. Sutter; Ruibin Feng; Prasanth Ganesan; Brototo Deb; Kelly A. Brennan; Maarten Z. Kolk; Fleur V. Y. Tjong; Albert J. Rogers; Sanjiv M. Narayan; Julia E. Vogt (EMBC, 2024)

Deep behavioural representation learning reveals risk profiles for malignant ventricular arrhythmias. - Maarten Z. Kolk; Diana My Frodi; Joss Langford; Tariq O. Andersen; Peter Karl Jacobsen; Niels Risum; Hanno L. Tan; Jesper Hastrup Svendsen; Reinoud Knops; Søren Zöga Diederichsen; Fleur V. Y. Tjong (npj Digit. Medicine, 2024)

A Denoising VAE for Intracardiac Time Series in Ischemic Cardiomyopathy. - Samuel Ruipérez-Campillo; Alain Ryser; Thomas M. Sutter; Ruibin Feng; Prasanth Ganesan; Brototo Deb; Kelly A. Brennan; Maxime Pedron; Albert J. Rogers; Maarten Z. Kolk; Fleur V. Y. Tjong; Sanjiv M. Narayan; et al. (CoRR, 2025)