Ph.D Candidate
e-mail: n [dot] khalili [at] umcutrecht [dot] nl
Phone: +31 88 75 50565
LinkedIn; Google Scholar 


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

Journal Articles

1.

M. Zreik, R.W. van Hamersvelt, N. Khalili, J.M. Wolterink, M. Voskuil, M.A. Viergever, T. Leiner, I. Išgum

Deep learning analysis of coronary arteries in cardiac CT angiography for detection of patients requiring invasive coronary angiography Journal Article

Transactions on Medical Imaging, 39 (5), pp. 1545-1557, 2020.

Abstract | Links | BibTeX

2.

N. Khalili, E.Turk, M.J.N.L. Benders, P. Moeskops, N.H.P. Claessens, R. de Heuse, A. Franx, N. Wagenaar, J.M.P.J. Breur, M.A. Viergever, I. Išgum

Automatic extraction of the intracranial volume in fetal and neonatal MR scans using convolutional neural networks Journal Article

NeuroImage Clinical, 24 (102061), 2019.

Abstract | Links | BibTeX

3.

N. Khalili, N. Lessmann, E. Turk, N. Claessens, R. de Heus, T. Kolk, M.A. Viergever, M.J.N.L. Benders, I. Išgum

Automatic brain tissue segmentation in fetal MRI using convolutional neural networks Journal Article

Magnetic Resonance Imaging, 64 , pp. 77-89, 2019.

Abstract | Links | BibTeX

4.

M.N. Cizmeci, N. Khalili, N.H.P. Claessens, F. Groenendaal, K.D. Liem

Assessment of brain injury and brain volumes after posthemorrhagic ventricular dilatation: a nested substudy of the randomized controlled ELVIS trial Journal Article

Journal of Pediatrics, 2019.

Abstract | Links | BibTeX

5.

N.H.P. Claessens, N. Khalili, I. Išgum, H. ter Heide, T.J. Steenhuis, E. Turk, N.J.G. Jansen, L.S. de Vries, J.M.P.J. Breur, R. de Heus, M.J.N.L. Benders

Brain and cerebrospinal fluid volumes in fetuses and neonates with antenatal diagnosis of critical congenital heart disease: a longitudinal MRI study Journal Article

American Journal of Neuroradiology, 2019.

Abstract | Links | BibTeX

Inproceedings

1.

M. Zreik, N. Hampe, T. Leiner, N. Khalili, J.M. Wolterink, M. Voskuil, M.A. Viergever, I. Išgum

Combined analysis of coronary arteries and the left ventricular myocardium in cardiac CT angiography for detection of patients with functionally significant stenosis Inproceedings

In: SPIE Medical Imaging, pp. 115961F, 2021.

Abstract | Links | BibTeX

2.

N. Khalili, E. Turk, M. Zreik, M.A. Viergever, M.J.N.L. Benders, I. Išgum

Generative adversarial network for segmentation of motion affected neonatal brain MRI Inproceedings

In: Medical Image Computing and Computer Assisted Intervention (MICCAI 2019), Lecture Notes in Computer Science, 2019.

Links | BibTeX

3.

J. Fernandes, V. Alves, N. Khalili3, M.J.N.L. Benders, I. Išgum, J. Pluim, P. Moeskops

Convolutional Neural Network-based regression for quantification of brain characteristics using MRI Inproceedings

In: WorldCist: 7th World Conference on Information Systems and Technologies , pp. 577-586, Springer, 2019.

Abstract | Links | BibTeX

4.

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 Inproceedings

In: MICCAI Workshop on Fetal and InFant Image analysis (FIFI 2017), 2017.

Abstract | Links | BibTeX

Abstracts

1.

N. Khalili, N. Lessmann, E. Turk, M.A. Viergever, M.J.N.L. Benders, I. Išgum

Brain tissue segmentation in fetal MRI using convolutional neural networks with simulated intensity inhomogeneities Abstract

In: International Society for Magnetic Resonance in Medicine, 27th Annual Meeting & Exhibition, 2019.

Abstract | BibTeX

2.

M.N. Cizmeci, N. Khalili, I. Išgum, N. Claessens, F. Groenendaal, D. Liem, A. Heep, I. B. Fernandez, I. van Straaten, G. van Wezel-Meijler, E. van ‘t Verlaat, A. Whitelaw, M.J.N.L. Benders, L.S. de Vries; the ELVIS study group

Timing of intervention for posthemorrhagic ventricular dilatation: effect on brain injury and brain volumes on term-equivalent age MRI Abstract

In: Pediatric Academic Societies Meeting 2018, 2019.

Abstract | BibTeX