Publications
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Combined analysis of coronary arteries and the left ventricular myocardium in cardiac CT angiography for detection of patients with functionally significant stenosis
Zreik, Majd, Hampe, Nils, Leiner, Tim, Khalili, Nadih, Wolterink, Jelmer M., Voskuil, Michiel, Viergever, Max A., Išgum, Ivana
2021 in Combined analysis of coronary arteries and the left ventricular myocardium in cardiac CT angiography for detection of patients with functionally significant stenosis: Medical Imaging 2021 p. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11596)
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Deep learning analysis of coronary arteries in cardiac CT angiography for detection of patients requiring invasive coronary angiography
Zreik, Majd, van Hamersvelt, Robbert W, Khalili, Nadieh, Wolterink, Jelmer M, Voskuil, Michiel, Viergever, Max A, Leiner, Tim, Isgum, Ivana
May
2020
in
IEEE Transactions on Medical Imaging
39
(5),
p. 1545-1557
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Assessment of Brain Injury and Brain Volumes after Posthemorrhagic Ventricular Dilatation: A Nested Substudy of the Randomized Controlled ELVIS Trial
Cizmeci, Mehmet N., Khalili, Nadieh, Claessens, Nathalie H. P., Groenendaal, Floris, Liem, Kian D., Heep, Axel, Benavente-Fernandez, Isabel, van Straaten, Henrica L. M., van Wezel-Meijler, Gerda, Steggerda, Sylke J., Dudink, Jeroen, Isgum, Ivana, Whitelaw, Andrew, Benders, Manon J. N. L., de Vries, Linda S., Han, K., Woerdeman, P., ter Horst, H. J., Dijkman, K. P., Ley, D., Fellman, V, de Haan, T. R., Brouwer, A. J., van't Verlaat, E., Govaert, P., Smit, B. J., Agut Quijano, T., Barcik, U., Mathur, A., Graca, A. M.
May
2019
in
Journal of Pediatrics
208
p. 191-+
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Brain and CSF Volumes in Fetuses and Neonates with Antenatal Diagnosis of Critical Congenital Heart Disease: A Longitudinal MRI Study
Claessens, N H P, Khalili, N, Isgum, I, Ter Heide, H, Steenhuis, T J, Turk, E, Jansen, N J G, de Vries, L S, Breur, J M P J, de Heus, R, Benders, M J N L
May
2019
in
American Journal of Neuroradiology
40
(5),
p. 885-891
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Automatic brain tissue segmentation in fetal MRI using convolutional neural networks
Khalili, N., Lessmann, N., Turk, E., Claessens, N., de Heus, R., Kolk, T., Viergever, M. A., Benders, M. J. N. L., Isgum, I.
Dec
2019
in
Magnetic Resonance Imaging
64
p. 77-89
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Automatic extraction of the intracranial volume in fetal and neonatal MR scans using convolutional neural networks
Khalili, Nadieh, Turk, E., Benders, M. J.N.L., Moeskops, P., Claessens, N. H.P., de Heus, R., Franx, A., Wagenaar, N., Breur, J. M.P.J., Viergever, M. A., Išgum, I.
Jan
2019
in
Neuroimage: Clinical [E]
24
p. 102061
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Convolutional neural network-based regression for quantification of brain characteristics using MRI
Fernandes, João, Alves, Victor, Khalili, Nadieh, Benders, Manon J.N.L., Išgum, Ivana, Pluim, Josien, Moeskops, Pim
jan
2019 in Convolutional neural network-based regression for quantification of brain characteristics using MRI: New Knowledge in Information Systems and Technologies - Volume 2 p. 577-586 (Advances in Intelligent Systems and Computing; vol. 931)
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Generative Adversarial Network for Segmentation of Motion Affected Neonatal Brain MRI
Khalili, N., Turk, E., Zreik, M., Viergever, M. A., Benders, M. J.N.L., Išgum, I.
jan
2019 in Generative Adversarial Network for Segmentation of Motion Affected Neonatal Brain MRI: Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings p. 320-328 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11766 LNCS)
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Automatic segmentation of the intracranial volume in fetal MR images
Khalili, N., Moeskops, P., Claessens, N. H.P., Scherpenzeel, S., Turk, E., de Heus, R., Benders, M. J.N.L., Viergever, M. A., Pluim, J. P.W., Išgum, I.
2017 in Automatic segmentation of the intracranial volume in fetal MR images: Fetal, Infant and Ophthalmic Medical Image Analysis - International Workshop, FIFI 2017 and 4th International Workshop, OMIA 2017 Held in Conjunction with MICCAI 2017, Proceedings p. 42-51 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10554 LNCS)