The rise of ad-hoc data-intensive computing has led to the development of data-parallel programming systems such as Map/Reduce and Hadoop, which achieve scalability by tightly cou...
While Bayesian methods can significantly improve the quality of tomographic reconstructions, they require the solution of large iterative optimization problems. Recent results ind...
This case study compares students' learning experience and outcomes in the lecture and online versions of a first-year introductory computing course offered at the Department...
Applications in the Pervasive Computing domain are challenged by the dynamism in which their execution environment changes, e.g. due to user mobility. As a result, applications ha...
Christian Becker, Marcus Handte, Gregor Schiele, K...
This paper presents a semi-automatic coronary centerline extraction algorithm for computed tomography angiography data. The method applies region growing to computed tomography an...
Coert Metz, Michiel Schaap, Alina G. van der Giess...