Functional data analysis (FDA) is a fast-growing area of research and development in
statistics. While most FDA literature imposes the classical L 2 Hilbert structure on function …

In our chapter we are describing how to reconstruct three-dimensional anatomy from
medical image data and how to build Statistical 3D Shape Models out of many such …

Objective: White blood cells (WBC) play an important role in the inflammatory response of
the body. Elevated WBC counts on admission in patients with subarachnoid hemorrhage …

Although thrombocytopenia on admission to the ICU is associated with increased in-hospital
mortality in septic patients, the role of longitudinally measured platelet counts, which are …

Objective Platelet (PLT) engages in immune and inflammatory responses, all of which are
related to the prognosis of critically ill patients. Although thrombocytopenia at ICU admission …

Abstract Novel coronavirus disease 2019 (COVID-19) is an emerging, rapidly evolving crisis,
and the ability to predict prognosis for individual COVID-19 patient is important for guiding …

Numerous clinical investigations require understanding changes in anatomical shape over
time, such as in dynamic organ cycle characterization or longitudinal analyses (eg, for …

For decades, de Casteljau's algorithm has been used as a fundamental building block in
curve and surface design and has found a wide range of applications in fields such as …

Intrinsic and parametric regression models are of high interest for the statistical analysis of
manifold-valued data such as images and shapes. The standard linear ansatz has been …

In many applications, geodesic hierarchical models are adequate for the study of temporal
observations. We employ such a model derived for manifold-valued data to Kendall's shape …