| An automatic multi-tissue human fetal brain segmentation benchmark using the fetal tissue annotation dataset K Payette, P de Dumast, H Kebiri, I Ezhov, JC Paetzold, S Shit, A Iqbal, ... Scientific data 8 (1), 167, 2021 | 99* | 2021 |
| RimNet: A deep 3D multimodal MRI architecture for paramagnetic rim lesion assessment in multiple sclerosis G Barquero, F La Rosa, H Kebiri, PJ Lu, R Rahmanzadeh, M Weigel, ... NeuroImage: Clinical 28, 102412, 2020 | 38 | 2020 |
| Fetal brain tissue annotation and segmentation challenge results K Payette, HB Li, P de Dumast, R Licandro, H Ji, MMR Siddiquee, D Xu, ... Medical Image Analysis 88, 102833, 2023 | 22 | 2023 |
| Multi-view convolutional neural networks for automated ocular structure and tumor segmentation in retinoblastoma VIJ Strijbis, CM de Bloeme, RW Jansen, H Kebiri, HG Nguyen, ... Scientific reports 11 (1), 14590, 2021 | 22 | 2021 |
| Fetal brain biometric measurements on 3D super-resolution reconstructed T2-weighted MRI: an intra-and inter-observer agreement study M Khawam, P De Dumast, P Deman, H Kebiri, T Yu, S Tourbier, H Lajous, ... Frontiers in pediatrics 9, 639746, 2021 | 17 | 2021 |
| Segmentation of the cortical plate in fetal brain MRI with a topological loss P de Dumast, H Kebiri, C Atat, V Dunet, M Koob, MB Cuadra Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and …, 2021 | 13 | 2021 |
| An automatic multi-tissue human fetal brain segmentation benchmark using the fetal tissue annotation dataset. Sci Data 8: 167 K Payette, P de Dumast, H Kebiri | 12 | 2021 |
| FaBiAN: A fetal brain magnetic resonance acquisition numerical phantom H Lajous, CW Roy, T Hilbert, P de Dumast, S Tourbier, Y Alemán-Gómez, ... Scientific reports, 2021 | 11* | 2021 |
| Synthetic magnetic resonance images for domain adaptation: Application to fetal brain tissue segmentation P de Dumast, H Kebiri, K Payette, A Jakab, H Lajous, MB Cuadra 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022 | 10 | 2022 |
| Medical-image-analysis-laboratory/mialsuperresolutiontoolkit: MIAL super-resolution toolkit v2. 0.1 S Tourbier, P De Dumast, H Kebiri, P Hagmann, M Bach Cuadra Zenodo., 2020 | 10 | 2020 |
| Through-plane super-resolution with autoencoders in diffusion magnetic resonance imaging of the developing human brain H Kebiri, EJ Canales-Rodriguez, H Lajous, P de Dumast, G Girard, ... Frontiers in Neurology 13, 2021 | 6 | 2021 |
| Multi-dimensional topological loss for cortical plate segmentation in fetal brain MRI P de Dumast, H Kebiri, V Dunet, M Koob, MB Cuadra arXiv preprint arXiv:2208.07566, 2022 | 4 | 2022 |
| Cross-age and cross-site domain shift impacts on deep learning-based white matter fiber estimation in newborn and baby brains R Lin, A Gholipour, JP Thiran, D Karimi, H Kebiri*, MB Cuadra* arXiv preprint arXiv:2312.14773, 2023 | 2 | 2023 |
| Robust estimation of the microstructure of the early developing brain using deep learning H Kebiri, A Gholipour, R Lin, L Vasung, D Karimi*, M Bach Cuadra* International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 2 | 2023 |
| TBSS++: A novel computational method for Tract-Based Spatial Statistics D Karimi, H Kebiri, A Gholipour bioRxiv, 2023 | 1 | 2023 |
| Direct segmentation of brain white matter tracts in diffusion MRI H Kebiri, A Gholipour, MB Cuadra, D Karimi ArXiv, 2023 | 1 | 2023 |
| Slice estimation in diffusion MRI of neonatal and fetal brains in image and spherical harmonics domains using autoencoders H Kebiri, G Girard, Y Alemán-Gómez, T Yu, A Jakab, ... International Workshop on Computational Diffusion MRI, 3-13, 2022 | 1 | 2022 |
| Spatio-temporal motion correction and iterative reconstruction of in-utero fetal fMRI A Taymourtash, H Kebiri, E Schwartz, KH Nenning, S Tourbier, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 1* | 2022 |
| Quantitative evaluation of enhanced multi-plane clinical fetal diffusion MRI with a crossing-fiber phantom H Kebiri, H Lajous, Y Alemán-Gómez, G Girard, EC Rodríguez, S Tourbier, ... International Workshop on Computational Diffusion MRI, 12-22, 2021 | 1 | 2021 |
| On the importance of fetal brain numerical models for domain adaptation strategies in fetal brain MRI tissue segmentation P de Dumast, H Kebiri, MB Cuadra, H Lajous | 1 | |
Meritxell Bach CuadraCIBM Center for Biomedical Imaging, Lausanne University (UNIL), Radiology Department (CHUV)Verified email at unil.ch
