The quality of the lung nodule models determines the success of lung nodule detection. This paper describes aspects of our data-driven approach for modeling lung nodules using the...
Abstract. We propose a novel framework, aspect space, to balance deformability and discriminability, which are often two competing factors in shape and image representations. In th...
A novel inversion technique is proposed to compute parametric maps showing the temperature, density and chemical composition of cosmic hot gas from X-ray hyper-spectral images. Th...
Mark O'Dwyer, Ela Claridge, Trevor Ponman, Somak R...
Virtual types have been proposed as a notation for generic programming in object-oriented languages—an alternative to the more familiar mechanism of parametric classes. The trade...
This paper proposes constraint propagation relaxation (CPR), a probabilistic approach to classical constraint propagation that provides another view on the whole parametric family...