22 citations · 53 across the 14 of their papers we have counts for
15 papers
Image Varifolds on Meshes for Mapping Spatial Transcriptomics
Michael I Miller, Alain Trouvé, Laurent Younes
Advances in the development of largely automated microscopy methods such as MERFISH for imaging cellular structures in mouse brains are providing spatial detection of micron resolu…
Hidden Markov Modeling for Maximum Likelihood Neuron Reconstruction
Thomas L. Athey, Daniel J. Tward, Ulrich Mueller +2
Recent advances in brain clearing and imaging have made it possible to image entire mammalian brains at sub-micron resolution. These images offer the potential to assemble brain-wi…
Regularized regression on compositional trees with application to MRI analysis
Bingkai Wang, Brian S. Caffo, Xi Luo +4
A compositional tree refers to a tree structure on a set of random variables where each random variable is a node and composition occurs at each non-leaf node of the tree. As a gen…
Fitting Splines to Axonal Arbors Quantifies Relationship between Branch Order and Geometry
Thomas L. Athey, Jacopo Teneggi, Joshua T. Vogelstein +3
Neuromorphology is crucial to identifying neuronal subtypes and understanding learning. It is also implicated in neurological disease. However, standard morphological analysis focu…
Identifying brain hierarchical structures associated with Alzheimer's disease using a regularized regression method with tree predictors
Yi Zhao, Bingkai Wang, Chin-Fu Liu +4
Brain segmentation at different levels is generally represented as hierarchical trees. Brain regional atrophy at specific levels was found to be marginally associated with Alzheime…
A Model for Elastic Evolution on Foliated Shapes
Dai-Ni Hsieh, Sylvain Arguillère, Nicolas Charon +2
We study a shape evolution framework in which the deformation of shapes from time t to t + dt is governed by a regularized anisotropic elasticity model. More precisely, we assume t…