activity
20172024
most citedSmall sphere distributions for directional data with application to medical imaging

8 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2024

Model Fitting and Analysis of the Discrete Swept Skeletal Representation for Ellipsoidal Objects

Mohsen Taheri, Stephen M. Pizer, Jörn Schulz

Statistical shape analysis of quasi-ellipsoidal objects, such as groups of hippocampi, is crucial for advancing medical research by aiding in the diagnosis and understanding of var…

stat.ME2024

The Mean Shape under the Relative Curvature Condition

Mohsen Taheri, Stephen M. Pizer, Jörn Schulz

Guaranteeing that Fréchet means of object populations do not locally self-intersect or are thereby affected is a serious challenge for object representations because the objects' s…

stat.ML2021

Non-Euclidean Analysis of Joint Variations in Multi-Object Shapes

Zhiyuan Liu, Jörn Schulz, Mohsen Taheri +4

This paper considers joint analysis of multiple functionally related structures in classification tasks. In particular, our method developed is driven by how functionally correlate…

stat.ME2021★ 4 cited

Statistical analysis of locally parameterized shapes

Mohsen Taheri, Jörn Schulz

The alignment of shapes has been a crucial step in statistical shape analysis, for example, in calculating mean shape, detecting locational differences between two shape population…

stat.ME2017★ 8 cited

Small sphere distributions for directional data with application to medical imaging

Byungwon Kim, Stephan Huckemann, Jörn Schulz +1

We propose new small-sphere distributional families for modeling multivariate directional data on for and . In a special case of univariat…