157 citations · 339 across the 26 of their papers we have counts for
28 papers
Second-order spatial analysis of shapes of tumor cell nuclei
Ye Jin Choi, Sebastian Kurtek, Simeng Zhu +1
Intra-tumor heterogeneity driving disease progression is characterized by distinct growth and spatial proliferation patterns of cells and their nuclei within tumor and non-tumor ti…
Probabilistic size-and-shape functional mixed models
Fangyi Wang, Karthik Bharath, Oksana Chkrebtii +1
The reliable recovery and uncertainty quantification of a fixed effect function in a functional mixed model, for modelling population- and object-level variability in noisily o…
Elastic Metrics on Spaces of Euclidean Curves: Theory and Algorithms
Martin Bauer, Nicolas Charon, Eric Klassen +3
A main goal in the field of statistical shape analysis is to define computable and informative metrics on spaces of immersed manifolds, such as the space of curves in a Euclidean s…
Spatially Penalised Registration of Multivariate Functional Data
Xiaohan Guo, Sebastian Kurtek, Karthik Bharath
Registration of multivariate functional data involves handling of both cross-component and cross-observation phase variations. Allowing for the two phase variations to be modelled…
Tumor Radiogenomics with Bayesian Layered Variable Selection
Shariq Mohammed, Sebastian Kurtek, Karthik Bharath +2
We propose a statistical framework to integrate radiological magnetic resonance imaging (MRI) and genomic data to identify the underlying radiogenomic associations in lower grade g…
Topo-Geometric Analysis of Variability in Point Clouds using Persistence Landscapes
James Matuk, Sebastian Kurtek, Karthik Bharath
Topological data analysis provides a set of tools to uncover low-dimensional structure in noisy point clouds. Prominent amongst the tools is persistence homology, which summarizes…