| The gender-congruency effect in picture-word tasks W La Heij, P Mak, J Sander, E Willeboordse Psychological Research 61 (3), 209-219, 1998 | 186 | 1998 |
| Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI J Sander, BD de Vos, JM Wolterink, I Išgum Medical imaging 2019: image Processing 10949, 324-330, 2019 | 60 | 2019 |
| Automatic segmentation with detection of local segmentation failures in cardiac MRI J Sander, BD de Vos, I Išgum Scientific Reports 10 (1), 21769, 2020 | 41 | 2020 |
| Mutual information for unsupervised deep learning image registration BD de Vos, BHM van der Velden, J Sander, KGA Gilhuijs, M Staring, ... Medical Imaging 2020: Image Processing 11313, 155-161, 2020 | 28 | 2020 |
| Biological data annotation via a human-augmenting AI-based labeling system D van der Wal, I Jhun, I Laklouk, J Nirschl, L Richer, R Rojansky, ... NPJ digital medicine 4 (1), 145, 2021 | 22 | 2021 |
| Unsupervised super-resolution: creating high-resolution medical images from low-resolution anisotropic examples J Sander, BD de Vos, I Išgum Medical Imaging 2021: Image Processing 11596, 82-88, 2021 | 17 | 2021 |
| Detecting delays in motor skill development of children through data analysis of a smart play device J Sander, A de Schipper, A Brons, S Mironcika, H Toussaint, B Schouten, ... Proceedings of the 11th EAI International Conference on Pervasive Computing …, 2017 | 9 | 2017 |
| Autoencoding low-resolution MRI for semantically smooth interpolation of anisotropic MRI J Sander, BD de Vos, I Išgum Medical image analysis 78, 102393, 2022 | 7 | 2022 |
| Medical Imaging 2019: Image Processing J Sander, BD de Vos, JM Wolterink, I Išgum | 6 | 2019 |
| Reconstruction and completion of high-resolution 3D cardiac shapes using anisotropic CMRI segmentations and continuous implicit neural representations J Sander, BD de Vos, S Bruns, N Planken, MA Viergever, T Leiner, ... Computers in Biology and Medicine 164, 107266, 2023 | 4 | 2023 |
| Towards automatic classification of cardiovascular magnetic resonance Task Force Criteria for diagnosis of arrhythmogenic right ventricular cardiomyopathy M Bourfiss, J Sander, BD de Vos, ASJM Te Riele, FW Asselbergs, I Išgum, ... Clinical Research in Cardiology 112 (3), 363-378, 2023 | 1 | 2023 |
| Deep Learning for Automatic Strain Quantification in Arrhythmogenic Right Ventricular Cardiomyopathy L Alvarez-Florez, J Sander, M Bourfiss, FVY Tjong, BK Velthuis, I Išgum International Workshop on Statistical Atlases and Computational Models of …, 2023 | | 2023 |
| Assessing anatomy and function of the heart using 4D cardiac MRI and deep learning J Sander J. Sander, 2023 | | 2023 |
| Combining adaptive-computation-time and learning-to-learn approaches for optimizing loss functions of base-learners J Sander | | 2017 |
Ivana IsgumUniversity Professor of AI and Medical Imaging, Amsterdam University Medical CenterGeverifieerd e-mailadres voor amsterdamumc.nl
