The human upper airway is comprised of many anatomical volumes. The obstructions in the
upper airway volumes are needed to be diagnosed which requires volumetric segmentation …

This paper proposes a 3D face alignment of 2D face images in the wild with noisy
landmarks. The objective is to recognize individuals from their single profile image. We first …

Simple Summary The appearance of microcalcifications in mammogram images is an
essential predictor for radiologists to detect early-stage breast cancer. This study aims to …

In this paper, we develop a methodology originating from algebraic topology, and we
demonstrate its capability of performing multidimensional object segmentation without the …

We describe a new general method for segmentation in MRI scans using Topological Data
Analysis (TDA), offering several advantages over traditional machine learning approaches. It …

This paper presents a topology-based global descriptor that allows for efficient 3D point
cloud processing tasks associated with the analysis of shapes. The descriptor is called the …

Fossil single-celled marine organisms known as foraminifera are widely used in
oceanographic research. The identification of species is one of the most common tasks …

Topological data analysis (TDA) provides a set of data analysis tools for extracting
embedded topological structures from complex high-dimensional datasets. In recent years …

In this paper, we show that topological persistence can be employed in biomedical image
processing to perform object segmentation. First we model the pixels of the image by …

We present the Signature of Topologically Persistent Points (STPP), a global descriptor that
encodes topological invariants of 3D point cloud data. These topological invariants include …