48 citations · 131 across the 5 of their papers we have counts for
3 papers · 1 filter
Mitosis Detection Under Limited Annotation: A Joint Learning Approach
Pushpak Pati, Antonio Foncubierta-Rodriguez, Orcun Goksel +1
Mitotic counting is a vital prognostic marker of tumor proliferation in breast cancer. Deep learning-based mitotic detection is on par with pathologists, but it requires large labe…
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…
Learn the new, keep the old: Extending pretrained models with new anatomy and images
Firat Ozdemir, Philipp Fuernstahl, Orcun Goksel
Deep learning has been widely accepted as a promising solution for medical image segmentation, given a sufficiently large representative dataset of images with corresponding annota…