10 citations · 11 across the 2 of their papers we have counts for
2 papers
eess.IV2022★ 1 cited
Segmenting white matter hyperintensities on isotropic three-dimensional Fluid Attenuated Inversion Recovery magnetic resonance images: Assessing deep learning tools on norwegian imaging database
Martin Soria Røvang, Per Selnes, Bradley John MacIntosh +5
Automated segmentation of white matter hyperintensities (WMHs) is an essential step in neuroimaging analysis of Magnetic Resonance Imaging (MRI). Fluid Attenuated Inversion Recover…
eess.IV2022★ 10 cited
A Densely Interconnected Network for Deep Learning Accelerated MRI
Jon Andre Ottesen, Matthan W. A. Caan, Inge Rasmus Groote +1
Objective: To improve accelerated MRI reconstruction through a densely connected cascading deep learning reconstruction framework. Materials and Methods: A cascading deep learning…