45 citations · 91 across the 9 of their papers we have counts for
4 papers · 1 filter
Iterative Interaction Training for Segmentation Editing Networks
Gustav Bredell, Christine Tanner, Ender Konukoglu
Automatic segmentation has great potential to facilitate morphological measurements while simultaneously increasing efficiency. Nevertheless often users want to edit the segmentati…
Generative Adversarial Networks for MR-CT Deformable Image Registration
Christine Tanner, Firat Ozdemir, Romy Profanter +3
Deformable Image Registration (DIR) of MR and CT images is one of the most challenging registration task, due to the inherent structural differences of the modalities and the missi…
Active Learning for Segmentation by Optimizing Content Information for Maximal Entropy
Firat Ozdemir, Zixuan Peng, Christine Tanner +2
Segmentation is essential for medical image analysis tasks such as intervention planning, therapy guidance, diagnosis, treatment decisions. Deep learning is becoming increasingly p…
Temporal Interpolation via Motion Field Prediction
Lin Zhang, Neerav Karani, Christine Tanner +1
Navigated 2D multi-slice dynamic Magnetic Resonance (MR) imaging enables high contrast 4D MR imaging during free breathing and provides in-vivo observations for treatment planning…