4 papers
Deep kernel video approximation for unsupervised action segmentation
Silvia L. Pintea, Jouke Dijkstra
This work focuses on per-video unsupervised action segmentation, which is of interest to applications where storing large datasets is either not possible, or nor permitted. We prop…
Continuous and complete liver vessel segmentation with graph-attention guided diffusion
Xiaotong Zhang, Alexander Broersen, Gonnie CM van Erp +2
Improving connectivity and completeness are the most challenging aspects of liver vessel segmentation, especially for small vessels. These challenges require both learning the cont…
Skip priors and add graph-based anatomical information, for point-based Couinaud segmentation
Xiaotong Zhang, Alexander Broersen, Gonnie CM van Erp +2
The preoperative planning of liver surgery relies on Couinaud segmentation from computed tomography (CT) images, to reduce the risk of bleeding and guide the resection procedure. U…
Top-K Maximum Intensity Projection Priors for 3D Liver Vessel Segmentation
Xiaotong Zhang, Alexander Broersen, Gonnie CM van Erp +2
Liver-vessel segmentation is an essential task in the pre-operative planning of liver resection. State-of-the-art 2D or 3D convolution-based methods focusing on liver vessel segmen…