Hamza Kebiri
Orcid: 0000-0001-7592-3166
According to our database1,
Hamza Kebiri
authored at least 18 papers
between 2020 and 2024.
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Collaborative distances:
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Bibliography
2024
Deep learning microstructure estimation of developing brains from diffusion MRI: A newborn and fetal study.
Medical Image Anal., 2024
Ground-truth effects in learning-based fiber orientation distribution estimation in neonatal brains.
CoRR, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Cross-Age and Cross-Site Domain Shift Impacts on Deep Learning-Based White Matter Fiber Estimation in Newborn and Baby Brains.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
Medical Image Anal., August, 2023
Robust Estimation of the Microstructure of the Early Developing Brain Using Deep Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
Spatio-Temporal Motion Correction and Iterative Reconstruction of In-Utero Fetal fMRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Slice Estimation in Diffusion MRI of Neonatal and Fetal Brains in Image and Spherical Harmonics Domains Using Autoencoders.
Proceedings of the Computational Diffusion MRI - 13th International Workshop, 2022
Synthetic Magnetic Resonance Images for Domain Adaptation: Application to Fetal Brain Tissue Segmentation.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2021
Simulated Half-Fourier Acquisitions Single-shot Turbo Spin Echo (HASTE) of the Fetal Brain: Application to Super-Resolution Reconstruction.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021
Quantitative Evaluation of Enhanced Multi-plane Clinical Fetal Diffusion MRI with a Crossing-Fiber Phantom.
Proceedings of the Computational Diffusion MRI - 12th International Workshop, 2021
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021
2020
A comparison of automatic multi-tissue segmentation methods of the human fetal brain using the FeTA Dataset.
CoRR, 2020