38 citations · 66 across the 28 of their papers we have counts for
33 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…
Geometry-driven Bayesian Inference for Ultrametric Covariance Matrices
Tsung-Hung Yao, Zhenke Wu, Karthik Bharath +1
Ultrametric matrices are a class of covariance matrices that arise in latent tree models. As a parameter space in a statistical model, the set of ultrametric matrices is neither co…
Shape And Structure Preserving Differential Privacy
Carlos Soto, Karthik Bharath, Matthew Reimherr +1
It is common for data structures such as images and shapes of 2D objects to be represented as points on a manifold. The utility of a mechanism to produce sanitized differentially p…
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…
Probabilistic Learning of Treatment Trees in Cancer
Tsung-Hung Yao, Zhenke Wu, Karthik Bharath +2
Accurate identification of synergistic treatment combinations and their underlying biological mechanisms is critical across many disease domains, especially cancer. In translationa…