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...
Scan compression has emerged as the most successful solution to solve the problem of rising manufacturing test cost. Compression technology is not hierarchical in nature. Hierarch...
— This research demonstrates that coming support for hardware transactional memory can be leveraged to significantly reduce the cost of implementing true speculative multithread...
In this paper we discuss our initial experiences adapting OpenMP to enable it to serve as a programming model for high performance embedded systems. A high-level programming model...
Barbara M. Chapman, Lei Huang, Eric Biscondi, Eric...