no code implementations • 11 Jun 2019 • N. Khalili, E. Turk, M. Zreik, M. A. Viergever, M. J. N. L. Benders, I. Isgum
The results indicate that correction of motion artifacts in the image space using the proposed approach allows accurate segmentation of brain tissue classes in slices affected by motion artifacts.
no code implementations • 11 Jun 2019 • N. Khalili, N. Lessmann, E. Turk, N. Claessens, R. de Heus, T. Kolk, M. A. Viergever, M. J. N. L. Benders, I. Isgum
The cornerstone of volumetric and morphologic analysis in fetal MRI is segmentation of the fetal brain into different tissue classes.
no code implementations • 31 Jul 2017 • N. Khalili, P. Moeskops, N. H. P. Claessens, S. Scherpenzeel, E. Turk, R. de Heus, M. J. N. L. Benders, M. A. Viergever, J. P. W. Pluim, I. Išgum
This paper presents an automatic method for segmentation of the ICV in fetal MR images.