| 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 | 87 | 2021 |
| Minimally invasive approach for diagnosing TMJ osteoarthritis B Shoukri, JC Prieto, A Ruellas, M Yatabe, J Sugai, M Styner, H Zhu, ... Journal of Dental Research 98 (10), 1103-1111, 2019 | 61 | 2019 |
| A web-based system for neural network based classification in temporomandibular joint osteoarthritis P de Dumast, C Mirabel, L Cevidanes, A Ruellas, M Yatabe, M Ioshida, ... Computerized Medical Imaging and Graphics 67, 45-54, 2018 | 53 | 2018 |
| 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 | 23 | 2023 |
| Shape variation analyzer: a classifier for temporomandibular joint damaged by osteoarthritis NT Ribera, P De Dumast, M Yatabe, A Ruellas, M Ioshida, B Paniagua, ... Medical Imaging 2019: Computer-Aided Diagnosis 10950, 517-523, 2019 | 23 | 2019 |
| 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 |
| Volumetric reconstruction and determination of minimum crosssectional area of the pharynx in patients with cleft lip and palate: comparison between two different softwares ML Pinheiro, M Yatabe, M Ioshida, L Orlandi, P Dumast, ... Journal of Applied Oral Science 26, e20170282, 2018 | 17 | 2018 |
| 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 | 14 | 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, I Ezhov, JC Paetzold, S Shit, A Iqbal, ... | 13 | 2021 |
| A fetal brain magnetic resonance acquisition numerical phantom (FaBiAN) H Lajous, CW Roy, T Hilbert, P de Dumast, S Tourbier, Y Alemán-Gómez, ... Scientific Reports 12 (1), 8682, 2022 | 10 | 2022 |
| 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 |
| SVA: Shape variation analyzer P de Dumast, C Mirabel, B Paniagua, M Yatabe, A Ruellas, N Tubau, ... Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and …, 2018 | 10 | 2018 |
| Through-plane super-resolution with autoencoders in diffusion magnetic resonance imaging of the developing human brain H Kebiri, EJ Canales-Rodríguez, H Lajous, P de Dumast, G Girard, ... Frontiers in Neurology 13, 827816, 2022 | 6 | 2022 |
| T2 mapping from super-resolution-reconstructed clinical fast spin echo magnetic resonance acquisitions H Lajous, T Hilbert, CW Roy, S Tourbier, P de Dumast, T Yu, JP Thiran, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 6 | 2020 |
| 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 |
| A magnetic resonance imaging simulation framework of the developing fetal brain H Lajous, T Hilbert, CW Roy, S Tourbier, P de Dumast, Y Alemán-Gómez, ... Proc. 29th Annual Meeting of ISMRM, 2021 | 4 | 2021 |
| A comparison of automatic multi-tissue segmentation methods of the human fetal brain using the FeTA dataset K Payette, P de Dumast, H Kebiri, I Ezhov, JC Paetzold, S Shit, A Iqbal, ... arXiv e-prints, arXiv: 2010.15526, 2020 | 4 | 2020 |
| Simulation-based parameter optimization for fetal brain MRI super-resolution reconstruction P de Dumast, T Sanchez, H Lajous, M Bach Cuadra International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 2 | 2023 |
| Translating fetal brain magnetic resonance image super-resolution into the clinical environment P de Dumast, P Deman, M Khawam, T Yu, S Tourbier, H Lajous, ... European Congress of Magnetic Resonance in Neuropediatrics, 2020 | 2 | 2020 |
