2 citations · 3 across the 2 of their papers we have counts for
3 papers
Joint Liver and Hepatic Lesion Segmentation in MRI using a Hybrid CNN with Transformer Layers
Georg Hille, Shubham Agrawal, Pavan Tummala +4
Deep learning-based segmentation of the liver and hepatic lesions therein steadily gains relevance in clinical practice due to the increasing incidence of liver cancer each year. W…
MedMeshCNN -- Enabling MeshCNN for Medical Surface Models
Lisa Schneider, Annika Niemann, Oliver Beuing +2
Background and objective: MeshCNN is a recently proposed Deep Learning framework that drew attention due to its direct operation on irregular, non-uniform 3D meshes. On selected be…
Spinal Metastases Segmentation in MR Imaging using Deep Convolutional Neural Networks
Georg Hille, Johannes Steffen, Max Dünnwald +3
This study's objective was to segment spinal metastases in diagnostic MR images using a deep learning-based approach. Segmentation of such lesions can present a pivotal step toward…