Different modalities in biomedical imaging, like CT, MRI and PET scanners, provide detailed crosssectional views of the human anatomy. The imagery obtained from these scanning dev...
Recently, we proposed marginal space learning (MSL) as
a generic approach for automatic detection of 3D anatom-
ical structures in many medical imaging modalities. To
accurately...
Many medical imaging applications require the computation of dense correspondence vector fields that match one surface with another. To avoid the need for a large set of manually-d...
—We present iCluster, a fast and efficient algorithm that clusters a set of images while co-registering them using a parameterized, nonlinear transformation model. The output of...
In this paper, we present the AgreementMaker, an ontology alignment tool that incorporates the Descendants Similarity Inheritance (DSI) method. This method uses the structure of th...