Visual exploration of volumetric datasets to discover the embedded features and spatial
structures is a challenging and tedious task. In this paper we present a semi-automatic …

Graphs represent general node‐link diagrams and have long been utilized in scientific
visualization for data organization and management. However, using graphs as a visual …

We present sMolBoxes, a dataflow representation for the exploration and analysis of long
molecular dynamics (MD) simulations. When MD simulations reach millions of snapshots, a …

Analyzing molecular dynamics (MD) simulations is a key aspect to understand protein
dynamics and function. With increasing computational power, it is now possible to generate …

Molecular cavities play a critical role in our understanding of molecular phenomena.
Recently, a number of works on the visual analysis of protein cavity dynamics have been …

Analyzing live-cell images is particularly challenging because cells simultaneously move
and undergo systematic changes. Visually inspecting live-cell images therefore involves …

Over the last two decades, an emerging paradigm of Parkinson's disease (PD) research that
considers diverse clinical and biological markers in evaluating disease severity has …

In scientific visualization, three-dimensional visualization has been the main traditionally-
used approach to display and explore molecular structures. However, the size and …

In this dissertation, we present visual analytics tools for several biomedical applications. Our
research spans three types of biomedical data: reaction networks, longitudinal …