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ORCIDJörg Sander 0003
Person information
- affiliation: University of Amsterdam, The Netherlands
- affiliation (former): University Medical Center Utrecht, The Netherlands
Other persons with the same name
- Jörg Sander 0001
![[0000-0003-4068-7268]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-4068-7268")
(aka: Joerg Sander 0001) — University of Alberta, Edmonton, Canada - Jörg Sander 0002 — Saarland University, Saarbrücken, Germany
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Journal Articles
- 2023
[j3]Jörg Sander, Bob D. de Vos, Steffen Bruns, Nils Planken, Max A. Viergever, Tim Leiner, Ivana Isgum:
Reconstruction and completion of high-resolution 3D cardiac shapes using anisotropic CMRI segmentations and continuous implicit neural representations. Comput. Biol. Medicine 164: 107266 (2023)- 2022
- [j2]Jörg Sander, Bob D. de Vos, Ivana Isgum:
Autoencoding low-resolution MRI for semantically smooth interpolation of anisotropic MRI. Medical Image Anal. 78: 102393 (2022) - 2021
- [j1]Douwe van der Wal, Iny Jhun, Israa Laklouk, Jeffrey J. Nirschl, Lara Richer, Rebecca Rojansky, Talent Theparee, Joshua Wheeler, Jörg Sander, Felix Y. Feng, Osama Mohamad, Silvio Savarese, Richard Socher, Andre Esteva:
Biological data annotation via a human-augmenting AI-based labeling system. npj Digit. Medicine 4 (2021)
Conference and Workshop Papers
- 2023
- [c5]Laura Alvarez-Florez, Jörg Sander, Mimount Bourfiss, Fleur V. Y. Tjong, Birgitta K. Velthuis, Ivana Isgum:
Deep Learning for Automatic Strain Quantification in Arrhythmogenic Right Ventricular Cardiomyopathy. STACOM@MICCAI 2023: 25-34 - 2021
- [c4]Jörg Sander, Bob D. de Vos, Ivana Isgum:
Unsupervised super-resolution: creating high-resolution medical images from low-resolution anisotropic examples. Image Processing 2021 - 2020
- [c3]Bob D. de Vos, Bas H. M. van der Velden, Jörg Sander, Kenneth G. A. Gilhuijs, Marius Staring, Ivana Isgum:
Mutual information for unsupervised deep learning image registration. Image Processing 2020: 113130R - 2019
- [c2]Jörg Sander, Bob D. de Vos, Jelmer M. Wolterink, Ivana Isgum:
Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI. Image Processing 2019: 1094919 - 2017
- [c1]Jörg Sander, Antoine de Schipper, Annette Brons, Svetlana Mironcika, Huub Toussaint, Ben A. M. Schouten, Ben J. A. Kröse:
Detecting delays in motor skill development of children through data analysis of a smart play device. PervasiveHealth 2017: 88-91
Informal and Other Publications
- 2023
- [i5]Laura Alvarez-Florez, Jörg Sander, Mimount Bourfiss, Fleur V. Y. Tjong, Birgitta K. Velthuis, Ivana Isgum:
Deep Learning for Automatic Strain Quantification in Arrhythmogenic Right Ventricular Cardiomyopathy. CoRR abs/2311.14448 (2023) - 2022
- [i4]Jörg Sander, Bob D. de Vos, Ivana Isgum:
Autoencoding Low-Resolution MRI for Semantically Smooth Interpolation of Anisotropic MRI. CoRR abs/2202.09258 (2022) - 2020
- [i3]Jörg Sander, Bob D. de Vos, Ivana Isgum:
Unsupervised Super-Resolution: Creating High-Resolution Medical Images from Low-Resolution Anisotropic Examples. CoRR abs/2010.13172 (2020) - [i2]Jörg Sander, Bob D. de Vos, Ivana Isgum:
Automatic segmentation with detection of local segmentation failures in cardiac MRI. CoRR abs/2011.07025 (2020) - 2018
- [i1]Jörg Sander, Bob D. de Vos, Jelmer M. Wolterink, Ivana Isgum:
Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI. CoRR abs/1809.10430 (2018)
Coauthor Index
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