We propose a novel denoising algorithm to reduce the Poisson noise that is typically dominant in fluorescence microscopy data. To process large datasets at a low computational co...
In this paper we propose a fast method to detect spiculated lesions and architectural distortions in Digital Breast Tomosynthesis datasets. This approach relies on an a contrario ...
Giovanni Palma, Serge Muller, Isabelle Bloch, Razv...
Endosymbiotic Computing entails attaching an RF-enabled microcontroller module (endomodule) to an appliance such that it appears as a networked device in the cyber world. It enabl...
The problem of programming scalable multicore processors has renewed interest in message-passing languages and frameworks. Such languages and frameworks are typically actororiente...
This paper deals with the development and use of business cases in support of cross-organizational enterprise resource planning (ERP)-enabled e-business integration initiatives. I...
Silja Eckartz, Maya Daneva, Roel Wieringa, Jos van...