Jörg Sander

According to our database, Jörg Sander authored at least 9 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Reconstruction and completion of high-resolution 3D cardiac shapes using anisotropic CMRI segmentations and continuous implicit neural representations.

Jörg Sander, Bob D. de Vos, Steffen Bruns, Nils Planken, Max A. Viergever, Tim Leiner, Ivana Isgum

Comput. Biol. Medicine, September, 2023

Deep Learning for Automatic Strain Quantification in Arrhythmogenic Right Ventricular Cardiomyopathy.

Laura Alvarez-Florez, Jörg Sander, Mimount Bourfiss, Fleur V. Y. Tjong, Birgitta K. Velthuis, Ivana Isgum

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023

2022

Autoencoding low-resolution MRI for semantically smooth interpolation of anisotropic MRI.

Jörg Sander, Bob D. de Vos, Ivana Isgum

Medical Image Anal., 2022

2021

Biological data annotation via a human-augmenting AI-based labeling system.

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

npj Digit. Medicine, 2021

Unsupervised super-resolution: creating high-resolution medical images from low-resolution anisotropic examples.

Jörg Sander, Bob D. de Vos, Ivana Isgum

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

2020

Automatic segmentation with detection of local segmentation failures in cardiac MRI.

Jörg Sander, Bob D. de Vos, Ivana Isgum

CoRR, 2020

Mutual information for unsupervised deep learning image registration.

Bob D. de Vos, Bas H. M. van der Velden, Jörg Sander, Kenneth G. A. Gilhuijs, Marius Staring, Ivana Isgum

Proceedings of the Medical Imaging 2020: Image Processing, 2020

2019

Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI.

Jörg Sander, Bob D. de Vos, Jelmer M. Wolterink, Ivana Isgum

Proceedings of the Medical Imaging 2019: Image Processing, 2019

2017

Detecting delays in motor skill development of children through data analysis of a smart play device.

Jörg Sander, Antoine de Schipper, Annette Brons, Svetlana Mironcika, Huub Toussaint, Ben A. M. Schouten, Ben J. A. Kröse

Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2017