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ORCIDNadieh Khalili
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2020 – today
- 2024
[i7]Nadieh Khalili, Joey Spronck, Francesco Ciompi, Jeroen van der Laak, Geert Litjens:
Uncertainty-guided annotation enhances segmentation with the human-in-the-loop. CoRR abs/2404.07208 (2024)- 2021
- [c4]Sophia J. Wagner, Nadieh Khalili, Raghav Sharma, Melanie Boxberg, Carsten Marr, Walter de Back, Tingying Peng:
Structure-Preserving Multi-domain Stain Color Augmentation Using Style-Transfer with Disentangled Representations. MICCAI (8) 2021: 257-266 - [i6]Sophia J. Wagner, Nadieh Khalili, Raghav Sharma, Melanie Boxberg, Carsten Marr, Walter de Back, Tingying Peng:
Structure-Preserving Multi-Domain Stain Color Augmentation using Style-Transfer with Disentangled Representations. CoRR abs/2107.12357 (2021) - 2020
- [b1]Nadieh Khalili:
Machine learning for automatic segmentation of neonatal and fetal MR brain images. Utrecht University, Netherlands, 2020 - [j1]Majd Zreik
, Robbert W. van Hamersvelt, Nadieh Khalili, Jelmer M. Wolterink, Michiel Voskuil, Max A. Viergever, Tim Leiner, Ivana Isgum:
Deep Learning Analysis of Coronary Arteries in Cardiac CT Angiography for Detection of Patients Requiring Invasive Coronary Angiography. IEEE Trans. Medical Imaging 39(5): 1545-1557 (2020)
2010 – 2019
- 2019
- [c3]Nadieh Khalili, Elise Turk, Majd Zreik, Max A. Viergever, Manon J. N. L. Benders, Ivana Isgum:
Generative Adversarial Network for Segmentation of Motion Affected Neonatal Brain MRI. MICCAI (3) 2019: 320-328 - [c2]João Fernandes, Victor Alves, Nadieh Khalili, Manon J. N. L. Benders, Ivana Isgum, Josien P. W. Pluim, Pim Moeskops:
Convolutional Neural Network-Based Regression for Quantification of Brain Characteristics Using MRI. WorldCIST (2) 2019: 577-586 - [i5]Majd Zreik, Robbert W. van Hamersvelt, Nadieh Khalili, Jelmer M. Wolterink, Michiel Voskuil, Max A. Viergever, Tim Leiner, Ivana Isgum:
Deep learning analysis of cardiac CT angiography for detection of coronary arteries with functionally significant stenosis. CoRR abs/1906.04419 (2019) - [i4]Nadieh Khalili, Elise Turk, Majd Zreik, Max A. Viergever, Manon J. N. L. Benders, Ivana Isgum:
Generative adversarial network for segmentation of motion affected neonatal brain MRI. CoRR abs/1906.04704 (2019) - [i3]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:
Automatic brain tissue segmentation in fetal MRI using convolutional neural networks. CoRR abs/1906.04713 (2019) - [i2]Majd Zreik, Tim Leiner, Nadieh Khalili, Robbert W. van Hamersvelt, Jelmer M. Wolterink, Michiel Voskuil, Max A. Viergever, Ivana Isgum:
Combined analysis of coronary arteries and the left ventricular myocardium in cardiac CT angiography for detection of patients with functionally significant stenosis. CoRR abs/1911.04940 (2019) - 2017
- [c1]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:
Automatic Segmentation of the Intracranial Volume in Fetal MR Images. FIFI/OMIA@MICCAI 2017: 42-51 - [i1]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:
Automatic segmentation of the intracranialvolume in fetal MR images. CoRR abs/1708.02282 (2017)
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