indicating the disease progress of a subject by fitting its ADAS scores to this curve. Similarly, Delor et al. [2] compute a disease onset time by adjusting subjects according to…

. Simply put, we consider normalized histograms on a grid of locations, and assume the distance between any two locations is provided. Next, we extend Wasserstein distances to non-negative vectors…

Fig. 1. A toy example in Euclidean space. Top: (a) Cross-sectional data of two groups, illustrated as red circles and blue squares; (b) the same data with longitudinal information (middle)…

22 mm to 111 mm requires 128 times more imaging time at equal SNR; a 5 min. acquisition would thus become a 10.7 h. acquisition, which is not realistic. Enhancing the spatial resolution requires…

Fig. 1. Microscope images of Drosophila melanogaster imaginal discs with gene expression patterns (Color figure online). A popular method which aligns images and simultaneously estimates a simple statistical shape model…

given an observed image from a different imaging modality and a database of N previously observed image pairs , indexed by n. Note that the technique can be easily extended…

for n points. Since this algorithm has the same complexity as the spectral analysis, it cannot be directly used as a subset selection scheme. In this paper, we focus on…

and diffusion coefficient , and a hindered extracellular compartment with volume fraction and diffusion coefficient . The DW-MRI signal, S, is given by (1)where (2) (3)Equation (2) is the pulsed gradient…

, which is not necessary in our method. The elastic shape metric assumes two shapes are isotopic. However, the proposed intrinsic method is applicable for general Riemannian manifolds. Our approach…

and an ordering , where means that event occurs in position k. In practise we only observe a snapshot of the event sequence for each subject, taken at an unknown…