3 papers
eess.IV2020
Automatic segmentation of the pulmonary lobes with a 3D u-net and optimized loss function
Bianca Lassen-Schmidt, Alessa Hering, Stefan Krass +1
Fully-automatic lung lobe segmentation is challenging due to anatomical variations, pathologies, and incomplete fissures. We trained a 3D u-net for pulmonary lobe segmentation on 4…
eess.IV2019
Efficient Prealignment of CT Scans for Registration through a Bodypart Regressor
Hans Meine, Alessa Hering
Convolutional neural networks have not only been applied for classification of voxels, objects, or images, for instance, but have also been proposed as a bodypart regressor. We pic…
cs.CV2018
Enhancing Label-Driven Deep Deformable Image Registration with Local Distance Metrics for State-of-the-Art Cardiac Motion Tracking
Alessa Hering, Sven Kuckertz, Stefan Heldmann +1
While deep learning has achieved significant advances in accuracy for medical image segmentation, its benefits for deformable image registration have so far remained limited to red…