K. Hammernik

most cited

Σ

-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction

18 citations · 29 across the 3 of their papers we have counts for

collaborators

3 papers

eess.IV2020★ 2 cited

Deep Network Interpolation for Accelerated Parallel MR Image Reconstruction

Chen Qin, Jo Schlemper, Kerstin Hammernik +3

We present a deep network interpolation strategy for accelerated parallel MR image reconstruction. In particular, we examine the network interpolation in parameter space between a…

eess.IV2019★ 18 cited

$Σ$ -net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction

Kerstin Hammernik, Jo Schlemper, Chen Qin +3

Purpose: To systematically investigate the influence of various data consistency layers, (semi-)supervised learning and ensembling strategies, defined in a $Σ$ -net, for accelerated…

eess.IV2019★ 9 cited

$Σ$ -net: Ensembled Iterative Deep Neural Networks for Accelerated Parallel MR Image Reconstruction

Jo Schlemper, Chen Qin, Jinming Duan +2

We explore an ensembled $Σ$ -net for fast parallel MR imaging, including parallel coil networks, which perform implicit coil weighting, and sensitivity networks, involving explicit…

Deep Network Interpolation for Accelerated Parallel MR Image Reconstruction

Σ-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction

Σ-net: Ensembled Iterative Deep Neural Networks for Accelerated Parallel MR Image Reconstruction

$Σ$ -net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction

$Σ$ -net: Ensembled Iterative Deep Neural Networks for Accelerated Parallel MR Image Reconstruction