89 citations · 144 across the 10 of their papers we have counts for
4 papers · 1 filter
Graph Refinement based Airway Extraction using Mean-Field Networks and Graph Neural Networks
Raghavendra Selvan, Thomas Kipf, Max Welling +4
Graph refinement, or the task of obtaining subgraphs of interest from over-complete graphs, can have many varied applications. In this work, we extract trees or collection of sub-t…
Extracting Tree-structures in CT data by Tracking Multiple Statistically Ranked Hypotheses
Raghavendra Selvan, Jens Petersen, Jesper H Pedersen +1
In this work, we adapt a method based on multiple hypothesis tracking (MHT) that has been shown to give state-of-the-art vessel segmentation results in interactive settings, for th…
Extraction of Airways using Graph Neural Networks
Raghavendra Selvan, Thomas Kipf, Max Welling +3
We present extraction of tree structures, such as airways, from image data as a graph refinement task. To this end, we propose a graph auto-encoder model that uses an encoder based…
Mean Field Network based Graph Refinement with application to Airway Tree Extraction
Raghavendra Selvan, Max Welling, Jesper H. Pedersen +2
We present tree extraction in 3D images as a graph refinement task, of obtaining a subgraph from an over-complete input graph. To this end, we formulate an approximate Bayesian inf…