Objectives: This study aims to explore and discuss recent advancements in tooth
reconstruction utilizing deep learning (DL) techniques. A review on new DL methodologies …

Differential topology, and specifically Morse theory, provide a suitable setting for formalizing
and solving several problems related to shape analysis. The fundamental idea behind …

Massive simulations and arrays of sensing devices, in combination with increasing
computing resources, have generated large, complex, high-dimensional datasets used to …

With the onset of extreme-scale computing, I/O constraints make it increasingly difficult for
scientists to save a sufficient amount of raw simulation data to persistent storage. One …

This paper presents the state of the art in the area of topology‐based visualization. It
describes the process and results of an extensive annotation for generating a definition and …

Resampling raw surface meshes is one of the most fundamental operations used by nearly
all digital geometry processing systems. The vast majority of this work has focused on …

Large-scale simulations are increasingly being used to study complex scientific and
engineering phenomena. As a result, advanced visualization and data analysis are also …

The Morse-Smale (MS) complex has proven to be a useful tool in extracting and visualizing
features from scalar-valued data. However, efficient computation of the MS complex for large …

When a heavy fluid is placed above a light fluid, tiny vertical perturbations in the interface
create a characteristic structure of rising bubbles and falling spikes known as Rayleigh …

Flow visualization research has made rapid advances in recent years, especially in the area
of topology-based flow visualization. The ever increasing size of scientific data sets favors …