Vascular diseases are among the most important public health problems in developed
countries. Given the size and complexity of modern angiographic acquisitions, segmentation …

We introduce an interactive technique for manipulating simple 3D shapes based on
extracting them from a single photograph. Such extraction requires understanding of the …

We present in this article a new method on unsupervised semantic parsing and structure
recognition in peri-urban areas using satellite images. The automatic “building” and “road” …

Accurate automatic extraction of a 3-D cerebrovascular system from images obtained by
time-of-flight (TOF) or phase contrast (PC) magnetic resonance angiography (MRA) is a …

We describe a narrow band region approach for deformable curves and surfaces in the
perspective of 2D and 3D image segmentation. Basically, we develop a region energy …

Snakes, or active contours, have been widely used in image processing applications. An
external force for snakes called gradient vector flow (GVF) attempts to address traditional …

Automatic segmentation of spinal nerve bundles that originate within the dural sac and exit
the spinal canal is important for diagnosis and surgical planning. The variability in intensity …

The proposed model is devoted to the segmentation and reconstruction of branching
structures, like vascular trees. We rely on an explicit representation of a deformable tree …

With some exceptions, current robotic systems need to be explicitly commanded for
interactive tasks with humans. This constraint leads to a reduction in robot-human system …

Background Computed tomography angiography (CTA) is a non-invasive technique to
image coronary arteries and evaluate coronary artery diseases (CAD). The diagnosis of …