Spatial and Temporal Shape Constrained Deformable Surfaces for 3D and 4D Medical Image Segmentation

We show our qualitative results in Figures 4.10 and 4.11. Although, our approach is an unsu- pervised learning method, it can generate the synthetic images which have the same

We now propose a constrained deformation scheme, where a deformable model is sub- mitted to global, external, and internal forces.. The purpose of this scheme is to have

(A-B) Intracellular activity (lower traces) of S1Cx neurons simultaneously recorded with the corresponding somatosensory and motor cortical LFPs during a SWD in a non- irradiated

While open trombone and a tive mute have very similar behaviours, the os illation regime expe ted for the trombone with the passive mute be omes dierent above f l = 55Hz with a

Amit [154] presented two variational approaches for 2D image matching. In the rst case, the transformation was parametrized with respect to the Fourier basis, while in the second

Although global and linear statistical shape modeling approaches are very popular in the computer vision community, and have been applied to a wide variety of segmentation problems,

refined the result of an affine registration between a normal atlas and a patient’s image by using a coupled model that predicts the anisotropic evolution of the tumor as well as

Evolution of the Dice loss in validation, for the SegTHOR dataset, in fully supervised setting, using different configuration, from no CoordConv layer to all convolutional