Jörg Sander

发表

Towards automatic classification of cardiovascular magnetic resonance Task Force Criteria for diagnosis of arrhythmogenic right ventricular cardiomyopathy

I. Išgum, F. Asselbergs, B. Velthuis, 2022, Clinical Research in Cardiology.

Towards automatic classification of cardiovascular magnetic resonance Task Force Criteria for diagnosis of arrhythmogenic right ventricular cardiomyopathy

I. Išgum, F. Asselbergs, B. Velthuis, 2022, Clinical Research in Cardiology.

Automatic segmentation with detection of local segmentation failures in cardiac MRI

Ivana Isgum, Jörg Sander, Bob D. de Vos, 2020, Scientific Reports.

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

R. Socher, S. Savarese, Rebecca Rojansky, 2021, npj Digital Medicine.

Biological data annotation via a human-augmenting AI-based labeling interface

Richard Socher, Andre Esteva, Douwe van der Wal, 2021 .

On the evaluation of outlier detection and one-class classification: a comparative study of algorithms, model selection, and ensembles

Henrique O. Marques, A. Zimek, Jörg Sander, 2023, Data Mining and Knowledge Discovery.

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

Ivana Isgum, Jörg Sander, Bob D. de Vos, 2020, Medical Imaging.

Autoencoding Low-Resolution MRI for Semantically Smooth Interpolation of Anisotropic MRI

B. D. Vos, Ivana Ivsgum, Jörg Sander, 2022, Medical Image Anal..

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

M. Viergever, I. Išgum, T. Leiner, 2023, Comput. Biol. Medicine.

Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI

Jelmer M. Wolterink, Ivana Išgum, Bob D. de Vos, 2018, Medical Imaging: Image Processing.