| Automatic brain tissue segmentation in fetal MRI using convolutional neural networks II N.Khalili, N.Lessmann, E.Turk, N.Claessens,R. de Heus, T.Kolk, M.A ... Magnetic Resonance Imaging, 2019 | 115 | 2019 |
| Deep learning analysis of coronary arteries in cardiac CT angiography for detection of patients requiring invasive coronary angiography M Zreik, RW van Hamersvelt, N Khalili, JM Wolterink, M Voskuil, ... IEEE transactions on medical imaging 39 (5), 1545-1557, 2019 | 56 | 2019 |
| Assessment of brain injury and brain volumes after posthemorrhagic ventricular dilatation: a nested substudy of the randomized controlled ELVIS trial MN Cizmeci, N Khalili, NHP Claessens, F Groenendaal, KD Liem, A Heep, ... The Journal of pediatrics 208, 191-197. e2, 2019 | 52 | 2019 |
| Structure-preserving multi-domain stain color augmentation using style-transfer with disentangled representations SJ Wagner, N Khalili, R Sharma, M Boxberg, C Marr, W de Back, T Peng Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 42 | 2021 |
| Brain and CSF volumes in fetuses and neonates with antenatal diagnosis of critical congenital heart disease: a longitudinal MRI study NHP Claessens, N Khalili, I Isgum, H Ter Heide, TJ Steenhuis, E Turk, ... American Journal of Neuroradiology 40 (5), 885-891, 2019 | 41 | 2019 |
| Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part II D Shen, T Liu, TM Peters, LH Staib, C Essert, S Zhou, PT Yap, A Khan Springer Nature, 2019 | 37 | 2019 |
| Automatic segmentation of the intracranial volume in fetal MR images N Khalili, P Moeskops, NHP Claessens, S Scherpenzeel, E Turk, ... Fetal, Infant and Ophthalmic Medical Image Analysis, 42-51, 2017 | 22 | 2017 |
| Automatic extraction of the intracranial volume in fetal and neonatal MR scans using convolutional neural networks N Khalili, E Turk, MJNL Benders, P Moeskops, NHP Claessens, ... NeuroImage: clinical, 2019 | 21 | 2019 |
| Generative adversarial network for segmentation of motion affected neonatal brain MRI N Khalili, E Turk, M Zreik, MA Viergever, MJNL Benders, I Išgum Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 11 | 2019 |
| Combined analysis of coronary arteries and the left ventricular myocardium in cardiac CT angiography for detection of patients with functionally significant stenosis M Zreik, N Hampe, T Leiner, N Khalili, JM Wolterink, M Voskuil, ... Medical Imaging 2021: Image Processing 11596, 394-401, 2021 | 8 | 2021 |
| Brain segmentation in patients with perinatal arterial ischemic stroke R Zoetmulder, L Baak, N Khalili, HA Marquering, N Wagenaar, M Benders, ... NeuroImage: Clinical 38, 103381, 2023 | 3 | 2023 |
| Machine learning for automatic segmentation of neonatal and fetal MR brain images N Khalili Utrecht University, 2020 | 1 | 2020 |
| Uncertainty-guided annotation enhances segmentation with the human-in-the-loop N Khalili, J Spronck, F Ciompi, J van der Laak, G Litjens arXiv preprint arXiv:2404.07208, 2024 | | 2024 |
| Combined analysis of coronary arteries and the left ventricular myocardium in cardiac CT angiography for detection of patients with functionally significant stenosis II Majd Zreik, Tim Leiner, Nadieh Khalili, Robbert W. van Hamersvelt, Jelmer ... | | 2019 |
| Brain tissue segmentation in fetal MRI using convolutional neural networks with simulated intensity inhomogeneities II N. Khalili, N. Lessmann, E. Turk, M.A. Viergever, M.J.N.L. Benders ISMRM 2019, 2019 | | 2019 |
| Deep learning analysis of cardiac CT angiography for detection of coronary arteries with functionally significant stenosis M Zreik, RW van Hamersvelt, N Khalili, JM Wolterink, M Voskuil, ... CoRR, 2019 | | 2019 |
| Convolutional neural network-based regression for quantification of brain characteristics using MRI J Fernandes, V Alves, N Khalili, MJNL Benders, I Išgum, J Pluim, ... New Knowledge in Information Systems and Technologies: Volume 2, 577-586, 2019 | | 2019 |
| Fetal and Neonatal Volumetric Brain Growth NHP Claessens, N Khalili, I Isgum, H ter Heide, TJ Steenhuis, E Turk, ... The brain in congenital heart disease: from fetus through childhood, 41, 2018 | | 2018 |
| Third trimester brain growth in extremely preterm born neonates compared to intrauterine growth in a pilot study E Turk, E Overbeek, R de Heus, N Khalili, A Franx, M van den Heuvel, ... A blueprint of the developing mind, 157, 0 | | |
| Brain tissue segmentation in fetal MRI using convolutional neural networks with simulated intensity inhomogeneities N Khalili, N Lessmann, E Turk, M Viergever, M Benders, I Isgum | | |
Ivana IsgumUniversity Professor of AI and Medical Imaging, Amsterdam University Medical CenterVerified email at amsterdamumc.nl
