We develop an object classification method that can learn a novel class from a single training example. In this method, experience with already learned classes is used to facilita...
In this work, we propose the use of sparse signal representation techniques to solve the problem of closed-loop spatial image prediction. The reconstruction of signal in the block...
The automation and speedup of interventional therapy and diagnostic workflows is a crucial issue. One way to improve these workflows is to accelerate the image acquisition procedur...
Christian Schaller, Christopher Rohkohl, Jochen Pe...
In this paper we present an enhanced method for non-rigid registration of volumetric multi-modal images using Mutual Information (MI). Based on a hierarchical subdivision scheme, t...
A number of studies have demonstrated that infrared (IR) imagery offers a promising alternative to visible imagery due to it's insensitive to variations in face appearance cau...