3 papers
eess.IV2020
Automatic segmentation with detection of local segmentation failures in cardiac MRI
Jörg Sander, Bob D. de Vos, Ivana Išgum
Segmentation of cardiac anatomical structures in cardiac magnetic resonance images (CMRI) is a prerequisite for automatic diagnosis and prognosis of cardiovascular diseases. To inc…
eess.IV2020
Unsupervised Super-Resolution: Creating High-Resolution Medical Images from Low-Resolution Anisotropic Examples
Jörg Sander, Bob D. de Vos, Ivana Išgum
Although high resolution isotropic 3D medical images are desired in clinical practice, their acquisition is not always feasible. Instead, lower resolution images are upsampled to h…
cs.CV2018
Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI
Jörg Sander, Bob D. de Vos, Jelmer M. Wolterink +1
Current state-of-the-art deep learning segmentation methods have not yet made a broad entrance into the clinical setting in spite of high demand for such automatic methods. One imp…