Kebiri, H., Gholipour, A., Lin, R., Vasung, L., Karimi*, D., Bach Cuadra*, M. (2023). "Robust estimation of the microstructure of the early developing brain using deep learning." MICCAI, Vancouver, Canada.
Lin, R., Gholipour, A., Karimi, D., Thiran, J.P., Kebiri*, H., Bach Cuadra*, M. (2024). "Cross-Age and Cross-Site Domain Shift Impacts on Deep Learning-Based White Matter Fiber Estimation in Newborn and Baby Brains." IEEE ISBI, Athens, Greece.
Taymourtash, A., Kebiri, H., Schwartz, E., Nenning, K.H., Tourbier, S., Kasprian, G., Prayer, D., Bach Cuadra, M., Langs, G. (2022). "Spatio-temporal motion correction and iterative reconstruction of in-utero fetal fMRI." MICCAI, Singapore.
Zalevskyi, V., Sanchez, T., Roulet, M., Aviles Verddera, J., Hutter, J., Kebiri, H., Bach Cuadra, M. (2024). "Improving cross-domain brain tissue segmentation in fetal MRI with synthetic data." MICCAI, Marrakesh, Morocco.
Kebiri, H., Gholipour, A., Bach Cuadra, M., Karimi, D. (2023). "Direct segmentation of brain white matter tracts in diffusion MRI." arXiv.
Karimi, D., Kebiri, H., Gholipour, A. (2023). "TBSS++: A novel computational method for Tract-Based Spatial Statistics." arXiv.
Kebiri, H., Gholipour, A., Vasung, L., Calixto, C., Krsnik, Z., Karimi*, D., Bach Cuadra*, M. (2024). "Deep learning microstructure estimation of developing brains from diffusion MRI: a newborn and fetal study." Medical Image Analysis.
Kebiri, H., Delavari, F., Van De Ville, D., Jorge*, J., Bach Cuadra*, M. (2025). "Functional organization of the neonatal thalamus across development depicted by functional MRI." Imaging Neuroscience.
Kebiri, H., Delavari, F., Van De Ville, D., Jorge, J., Bach Cuadra, M. (2025). "Uncertainty-Aware Functional Parcellation of the Neonatal Thalamus Using a Large dHCP rs-fMRI Cohort." OHBM, Brisbane, Australia.
Kebiri, H., Canales-Rodriguez, E.J., Lajous, H., de Dumast, P., Girard, G., Aleman-Gomez, Y., Koob, M., Jakab, A., Bach Cuadra, M. (2021). "Through-plane super-resolution with autoencoders in diffusion magnetic resonance imaging of the developing human brain." Frontiers in Neurology.
Kebiri*, H., Lin*, R., Gholipour, A., Chen, Y., Thiran, J.P., Karimi, D., Bach Cuadra, M. (2025). "Domain shifts in infant brain diffusion MRI: Quantification and mitigation for fODF estimation." Human Brain Mapping.
Barquero Garcia, G., La Rosa, F., Kebiri, H., et al. (2020). "RimNet: A deep 3D multimodal MRI architecture for paramagnetic rim lesions assessment in multiple sclerosis." NeuroImage: Clinical.
Strijbis, V.I.J., de Bloeme, C.M., Jansen, R.W., Kebiri, H., et al. (2021). "Multi-view convolutional neural networks for automated ocular structure and tumor segmentation in retinoblastoma." Nature Scientific Reports.
Payette, K., de Dumast, P., Kebiri, H., et al. (2022). "An automatic multi-tissue human fetal brain segmentation benchmark using the Fetal Tissue Annotation Dataset." Nature Scientific Data.
Mino-Matot*, T., Kebiri*, H. Jorge, J., Ledoux, J.B., Fornari, E., Bach Cuadra, M., Denervaud, S. (2026). "Data-driven pediatric thalamic parcellation reveals pedagogy-selective maturation of attention circuits."
de Dumast, P., Kebiri, H., Dunet, V., Koob, M., Bach Cuadra, M. (2022). "Multi-dimensional topological loss for cortical plate segmentation in fetal brain MRI." arXiv.
Oral at FIT'NJ'26, Panama City, Panama
Invited talk at University Children's Hospital Zürich and University of Zürich, Virtual
Oral at Infant Consciousness Conference'25, New York, USA
Invited talk at Morocco AI Association, Online
Oral at CDMRI'24, Marrakesh, Morocco
Oral at ISBI'24, Athens, Greece
Invited talk at Math & Maroc Association, Online
Invited talk at Massachusetts General Hospital and Harvard Medical School, Boston, USA
Power pitch at ISMRM'22, London, United Kingdom
Invited talk at CIBM Breakfast & Science seminar series, Online
Oral at CDMRI'21, Strasbourg, France, Virtual (COVID)
Invited talk at Workshop on Machine Learning in Radiology'19 at Lausanne University Hospital (CHUV), Lausanne, Switzerland