Ph.D Candidate
e-mail: n.khalili@umcutrecht.nl
Phone: +31 88 75 50565
Link: https://www.linkedin.com/in/nadieh-khalili-bb659631/


Biography:

Nadieh Khalili received her Bachelor of Science degree in Biomedical Engineering at Science & Research University, Tehran, Iran. In 2015 she obtained her MSc magna cum laude in Biomedical Engineering at Bern University, Switzerland. Her Master thesis entitled ”Multi-modal registration of 2D histology images on 3D CT dataset”.

In 2016, Nadieh joined to Image Science Institute as a Ph.D. candidate under the supervision of Dr. Ivana Isgum. Her Ph.D focuses on developing novel deep learning methods for quantitative analysis of neonate and fetal brain MRI.


Current projects:

Quantitative analysis of nutrition supplements on neonatal brain development

Papers in conference proceedings

1.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 . Automatic segmentation of the intracranial volume in fetal MR images. In: MICCAI Workshop on Fetal and InFant Image analysis (FIFI 2017), 2017 Abstract | pdf )