… edge maps, the local maps are tied both to the topological map and to the free space (Fig.
3). This is a key advantage that the RGVG contributes to the hierarchical atlas over the …

… , the ability to predict boundaries in the individual increased monotonically, with the finest
granularity outperforming the … We therefore based the hierarchical atlas on the map with the …

… The topology used by the hierarchical atlas is based on the generalized Voronoi graph (GVG)
[9], the … , whose nodes have a definite location in the free space and whose edges define …

… of the hierarchy of the atlas forests and (2) optimal selection of … For all the hierarchical
structure trained in the experiments, we consider each atlas forest as an individual cluster in the …

… a novel hierarchical atlas, the Cortical Hierarchy Atlas of the … Each level of the hierarchical
atlas partitions the full cortical … level, the CHARM borders follow the borders of the D99 atlas …

… number of clusters into which available datasets are to be divided is decided by the users
and the hierarchical methods usually lead to formation of dendrograms. One of …

… This section explains the construction of Atlas database … the WSI scanning workflow to
digitize the glass slides and divide them into patches. Then, we explain our proposed hierarchical …

… Hierarchy: The manager hierarchy achieves our goal of giving preference for idle resources
to local users. For example, an application started on our machines would spread first to …

… the hypergraph learning into a hierarchical model. Second, instead of only propagating the
labels from the atlas images to the … our results show that the hierarchical hypergraph learning …

… Here, we considered the hierarchy of the abdominal cavity, liver, vena cava … to the hierarchical
segmentation procedure. In this work, we constructed multi-organ statistical atlases for the …