Model Variables image descriptor of supervoxel n in subject s genetic location of minor allele m in subject s subject-specific topic that generates super-voxel n in subject s, subject-specific topic…
be the 3-dimensional spatial coordinate system and t the temporal dimension. We consider the image time series I as a discretely sampled spatio-temporal signal of dimensions , where N is…
in human subjects, enabling the measurement of the ensemble average propagator (EAP) at distances as short as 10 . Coupled with continuous models of the full 3D DWI signal and the…
Fig. 1. Multi-scale CNN architecture used in our experiments. One stack of three pairs of convolution (Conv) and max-pooling layers (MP) uses input image patches of size . The second…
(e.g. a time series of N images with D pixels each) lies on a manifold which can be described by much fewer dimensions. Manifold learning techniques map each point in…
Fig. 1. Significant variation in visual characteristics of polyps. (a) Color and appearance variation of the same polyp due to varying lighting conditions. (b) Texture and shape variation among polyps….
and , where is a neighborhood surrounding x and is the image features extracted from the neighborhood. Given the estimated probabilities, the maximum a posterior (MAP) segmentation can be derived…
(1) where is the signal for the dPFG sequence with parallel gradients, is the signal for the dPFG sequence with perpendicular gradients, is the wavenumber, the gyromagnetic ratio, G the…
Fig. 1. (left) Brain images of MS patients with (right) lesions segmented by experts. We show (a) a volume with heavy peri-ventricular lesion load, (b) volume with supra-ventricular lesions, and…
where X is an m-by-n (n$$” src=”/wp-content/uploads/2016/09/A339424_1_En_10_Chapter_IEq8.gif”> so that it is possible to estimate . The maximum-likelihood and unbiased estimate of is The residuals and the unbiased estimate of are…
