Publications of Nadieh Khalili
Papers in international journals
- N. Khalili and F. Ciompi, "Scaling data toward pan-cancer foundation models", Trends in Cancer, 2024;10:871-872.
- F. Khoraminia, F. de Jong, F. Akram, G. Litjens, M. Jansen, A. Gonzalez, D. Lichtenburg, A. Stubbs, N. Khalili and T. Zuiverloon, "Abstract B004: Deep learning unveils molecular footprints in histology: predicting molecular subtypes from bladder cancer histology slides", Clinical Cancer Research, 2024;30:B004-B004.
- R. Zoetmulder, L. Baak, N. Khalili, H. Marquering, N. Wagenaar, M. Benders, N. van der Aa and I. Isgum, "Brain segmentation in patients with perinatal arterial ischemic stroke", NeuroImage: Clinical, 2023;38:103381.
- N. Khalili, N. Lessmann, E. Turk, N. Claessens, R. de Heus, T. Kolk, M. Viergever, M. Benders and I. IĆĄgum, "Automatic brain tissue segmentation in fetal MRI using convolutional neural networks", Magnetic Resonance Imaging, 2019;64:77-89.
Preprints
- N. Khalili, J. Spronck, F. Ciompi, J. van der Laak and G. Litjens, "Uncertainty-guided annotation enhances segmentation with the human-in-the-loop", arXiv:2404.07208, 2024.
- D. Schouten, G. Nicoletti, B. Dille, C. Chia, P. Vendittelli, M. Schuurmans, G. Litjens and N. Khalili, "Navigating the landscape of multimodal AI in medicine: a scoping review on technical challenges and clinical applications", arXiv:2411.03782, 2024.
Abstracts
- D. Schouten, N. Khalili, J. van der Laak and G. Litjens, "Full Resolution Three-Dimensional Reconstruction of Non-Serial Prostate Whole-Mounts: Pilot Validation and Initial Results", European Congress on Digital Pathology, 2024.
- N. Khalili, N. Lessmann, E. Turk, M. Viergever, M. Benders and I. Isgum, "Brain tissue segmentation in fetal MRI using convolutional neural networks with simulated intensity inhomogeneities", Annual Meeting of the International Society for Magnetic Resonance in Medicine, 2019.