4 papers
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…
A novel framework for fully-automated co-registration of intravascular ultrasound and optical coherence tomography imaging data
Xingwei He, Kit Mills Bransby, Ahmet Emir Ulutas +12
Aims: To develop a deep-learning (DL) framework that will allow fully automated longitudinal and circumferential co-registration of intravascular ultrasound (IVUS) and optical cohe…
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…