Registration of pre-and intra-interventional data is one of the key technologies for image-
guided radiation therapy, radiosurgery, minimally invasive surgery, endoscopy, and …

One of the main challenges for computer-assisted surgery (CAS) is to determine the intra-
operative morphology and motion of soft-tissues. This information is prerequisite to the …

Modern scientific endeavors increasingly require team collaborations to construct and
interpret complex computational workflows. This work describes an image-analysis …

In this work we propose a novel approach to perform segmentation by leveraging the
abstraction capabilities of convolutional neural networks (CNNs). Our method is based on …

Tractography based on non-invasive diffusion imaging is central to the study of human brain
connectivity. To date, the approach has not been systematically validated in ground truth …

To master the fundamentals of image registration, there is no more comprehensive source
than 2-D and 3-D Image Registration. In addition to delving into the relevant theories of …

The task of segmenting the lung fields, the heart, and the clavicles in standard posterior–
anterior chest radiographs is considered. Three supervised segmentation methods are …

The impressive development of medical imaging technology during the last decades
provided physicians with an increasing amount of patient specific anatomical and functional …

Functional localization is a concept which involves the application of a sequence of
geometrical and statistical image processing operations in order to define the location of …

Performing an accurate localization of sources of interictal spikes from EEG scalp
measurements is of particular interest during the presurgical investigation of epilepsy. The …