Digital pathology and microscopy image analysis is widely used for comprehensive studies
of cell morphology or tissue structure. Manual assessment is labor intensive and prone to …

FreeSurfer is a suite of tools for the analysis of neuroimaging data that provides an array of
algorithms to quantify the functional, connectional and structural properties of the human …

Segmentation algorithms are prone to make topological errors on fine-scale struc-tures, eg,
broken connections. We propose a novel method that learns to segment with correct …

Accurate segmentation of tubular, network-like structures, such as vessels, neurons, or
roads, is relevant to many fields of research. For such structures, the topology is their most …

Computer-aided image analysis of histopathology specimens could potentially provide
support for early detection and improved characterization of diseases such as brain tumor …

In this paper, we present a new variational formulation for geometric active contours that
forces the level set function to be close to a signed distance function, and therefore …

In this paper, we focus on the retrospective topology correction of surfaces. We propose a
technique to accurately correct the spherical topology of cortical surfaces. Specifically, we …

Efficient segmentation of globally optimal surfaces representing object boundaries in
volumetric data sets is important and challenging in many medical image analysis …

Improvements in the spatial resolution of structural and functional MRI are beginning to
enable analysis of intracortical structures such as heavily myelinated layers in 3D, a …

We present an overview of various edge and line oriented approaches to contour detection
that have been proposed in the last two decades. By edge and line oriented we mean …