3 citations · 5 across the 3 of their papers we have counts for
3 papers
eess.IV2019
Automatic brain tissue segmentation in fetal MRI using convolutional neural networks
N. Khalili, N. Lessmann, E. Turk +6
MR images of fetuses allow clinicians to detect brain abnormalities in an early stage of development. The cornerstone of volumetric and morphologic analysis in fetal MRI is segment…
eess.IV2019★ 2 cited
Generative adversarial network for segmentation of motion affected neonatal brain MRI
N. Khalili, E. Turk, M. Zreik +3
Automatic neonatal brain tissue segmentation in preterm born infants is a prerequisite for evaluation of brain development. However, automatic segmentation is often hampered by mot…
cs.CV2017★ 3 cited
Automatic segmentation of the intracranialvolume in fetal MR images
N. Khalili, P. Moeskops, N. H. P. Claessens +7
MR images of the fetus allow non-invasive analysis of the fetal brain. Quantitative analysis of fetal brain development requires automatic brain tissue segmentation that is typical…