Automatic Segmentation of the Intracranial Volume in Fetal MR Images. - 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 (FIFI/OMIA@MICCAI, 2017)

Automatic segmentation of the intracranialvolume in fetal MR images. - 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 (CoRR, 2017)

Generative Adversarial Network for Segmentation of Motion Affected Neonatal Brain MRI. - Nadieh Khalili; Elise Turk; Majd Zreik; Max A. Viergever; Manon J. N. L. Benders; Ivana Isgum (MICCAI (3), 2019)

Convolutional Neural Network-Based Regression for Quantification of Brain Characteristics Using MRI. - João Fernandes 004; Victor Alves; Nadieh Khalili; Manon J. N. L. Benders; Ivana Isgum; Josien P. W. Pluim; Pim Moeskops (WorldCIST (2), 2019)

Deep learning analysis of cardiac CT angiography for detection of coronary arteries with functionally significant stenosis. - Majd Zreik; Robbert W. van Hamersvelt; Nadieh Khalili; Jelmer M. Wolterink; Michiel Voskuil; Max A. Viergever; Tim Leiner; Ivana Isgum (CoRR, 2019)

Automatic brain tissue segmentation in fetal MRI using convolutional neural networks. - 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 (CoRR, 2019)

Combined analysis of coronary arteries and the left ventricular myocardium in cardiac CT angiography for detection of patients with functionally significant stenosis. - Majd Zreik; Tim Leiner; Nadieh Khalili; Robbert W. van Hamersvelt; Jelmer M. Wolterink; Michiel Voskuil; Max A. Viergever; Ivana Isgum (CoRR, 2019)

Deep Learning Analysis of Coronary Arteries in Cardiac CT Angiography for Detection of Patients Requiring Invasive Coronary Angiography. - Majd Zreik; Robbert W. van Hamersvelt; Nadieh Khalili; Jelmer M. Wolterink; Michiel Voskuil; Max A. Viergever; Tim Leiner; Ivana Isgum (IEEE Trans. Medical Imaging, 2020)

Machine learning for automatic segmentation of neonatal and fetal MR brain images. - Nadieh Khalili (2020)

Structure-Preserving Multi-domain Stain Color Augmentation Using Style-Transfer with Disentangled Representations. - Sophia J. Wagner; Nadieh Khalili; Raghav Sharma; Melanie Boxberg; Carsten Marr; Walter de Back; Tingying Peng (MICCAI (8), 2021)

Early Fusion of H&E and IHC Histology Images for Pediatric Brain Tumor Classification. - Christoforos Spyretos; Iulian Emil Tampu; Nadieh Khalili; Juan Manuel Pardo Ladino; Per Nyman; Ida Blystad; Anders Eklund 002; Neda Haj-Hosseini (COMPAY@MICCAI, 2024)

Uncertainty-guided annotation enhances segmentation with the human-in-the-loop. - Nadieh Khalili; Joey Spronck; Francesco Ciompi; Jeroen van der Laak; Geert Litjens 001 (CoRR, 2024)

Navigating the landscape of multimodal AI in medicine: A scoping review on technical challenges and clinical applications. - Daan N. Schouten; Giulia Nicoletti; Bas Dille; Catherine Chia; Pierpaolo Vendittelli; Megan Schuurmans; Geert Litjens 001; Nadieh Khalili (Medical Image Anal., 2025)