The Lancet

Deep-learning-based reconstruction of undersampled MRI to reduce scan times: a multicentre, retrospective, cohort study

aDivision for Computational Neuroimaging, Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany bDepartment of Neuroradiology, Heidelberg University Hospital, Heidelberg, ...
eLife

Boosting the signal: Expectation-driven gain modulation of preparatory spatial attention

The evidence is solid but not definitive, as the conclusions rely on the absence of changes in spatial breadth and would benefit from clearer statistical justification and a more cautious ...
IEEE

Fast Weighted Transforms for Linear Convolution

Abstract: Convolution is fundamental in digital signal processing across many applications. Existing works enable N-point linear convolution via N-point right-angle circular convolution (RCC) based on ...
IEEE

Multi-Objective Memetic Algorithm With Adaptive Weights for Inverse Antenna Design

Abstract: This article deals with discrete topology optimization and describes the modification of a single-objective (SO) algorithm into its multiobjective (MO) counterpart. The result is a ...