Elise Turk

According to our database, Elise Turk authored at least 5 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Head to head: Comparing intracranial volumes using 3D ultrasound and fetal MRI.

Inge M. van Ooijen, Gaby van Iersel, Lotte Meijerink, Jalmar Teeuw, Elise Turk, Maaike Nijman, Daniel Cromb, Alena Uus, Serena J. Counsell, Mireille N. Bekker, Maria-Luisa Tataranno, Hilleke E. Hulshoff Pol, Sonja M. C. de Zwarte, Manon J. N. L. Benders

NeuroImage, 2025

2019

Automatic brain tissue segmentation in fetal MRI using convolutional neural networks.

Nadieh Khalili, Nikolas Leßmann, Elise Turk, Nathalie H. P. Claessens, R. de Heus, T. Kolk, Max A. Viergever, Manon J. N. L. Benders, Ivana Isgum

CoRR, 2019

Generative Adversarial Network for Segmentation of Motion Affected Neonatal Brain MRI.

Nadieh Khalili, Elise Turk, Majd Zreik, Max A. Viergever, Manon J. N. L. Benders, Ivana Isgum

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2017

Automatic segmentation of the intracranialvolume in fetal MR images.

Nadieh Khalili, Pim Moeskops, Nathalie H. P. Claessens, S. Scherpenzeel, Elise Turk, R. de Heus, Manon J. N. L. Benders, Max A. Viergever, Josien P. W. Pluim, Ivana Isgum

CoRR, 2017

Automatic Segmentation of the Intracranial Volume in Fetal MR Images.

Nadieh Khalili, Pim Moeskops, Nathalie H. P. Claessens, S. Scherpenzeel, Elise Turk, R. de Heus, Manon J. N. L. Benders, Max A. Viergever, Josien P. W. Pluim, Ivana Isgum

Proceedings of the Fetal, Infant and Ophthalmic Medical Image Analysis, 2017