journal articles

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.
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.

phd theses

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.