J. Sander, B. D. de Vos, S. Bruns, N. Planken, M. A. Viergever, T. Leiner, I. Išgum, "Reconstruction and completion of high-resolution 3D cardiac shapes using anisotropic CMRI segmentations and continuous implicit neural representations", Computers in Biology and Medicine, 2023; 164.
M. Bourfiss, J. Sander, B.D. de Vos, A.S.J.M. te Riele, F.W. Asselbergs, I. Išgum and B.K. Velthuis , "Towards automatic classification of cardiovascular magnetic resonance Task Force Criteria for diagnosis of arrhythmogenic right ventricular cardiomyopathy", Clinical Research in Cardiology, 2023; 112 (3): 363-378.
J. Sander, B.D. de Vos, I. Isgum, "Autoencoding low-resolution MRI for semantically smooth interpolation of anisotropic MRI", Medical Image Analysis, 2022; 78: 102393.
J. Sander, B. D. de Vos and I. Išgum, "Automatic segmentation with detection of local segmentation failures in cardiac MRI", Scientific Reports, 2020; 10 (21769).
L. Alvarez-Florez, J. Sander, M. Bourfiss, F. V. Y. Tjong, B. K. Velthuis, I. Išgum, "Deep Learning for Automatic Strain Quantification in Arrhythmogenic Right Ventricular Cardiomyopathy", Statistical Atlases and Computational Models of the Heart, 2023; 14507: 25-34.J. Sander, B. D. de Vos and I. Išgum, "Unsupervised super-resolution: creating high-resolution medical images from low-resolution anisotropic examples", SPIE Medical Imaging, Image Processing, 2021; 11596: 115960E.
B. D. de Vos, B. H. M. van der Velden, J. Sander, K. G. A. Gilhuijs, M. Staring and I. Išgum, "Mutual information for unsupervised deep learning image registration", SPIE Medical Imaging, Image Processing, 2020; 11313: 113130R.
J. Sander, B. D. de Vos, J. M. Wolterink and I. Išgum, "Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI", SPIE Medical Imaging, Image Processing, 2019; 10949: 1094919.
J. Sander, "Assessing anatomy and function of the heart using 4D cardiac MRI and deep learning", University of Amsterdam, The Netherlands, 2023, ISBN: 978-94-6419-911-6.