| High-level Prior-based Loss Functions for Medical Image Segmentation: A Survey R El Jurdi, C Petitjean, P Honeine, V Cheplygina, F Abdallah arXiv preprint arXiv:2011.08018, 2020 | 104 | 2020 |
| Bb-unet: U-net with bounding box prior R El Jurdi, C Petitjean, P Honeine, F Abdallah IEEE Journal of Selected Topics in Signal Processing 14 (6), 1189-1198, 2020 | 67 | 2020 |
| A surprisingly effective perimeter-based loss for medical image segmentation REL Jurdi, C Petitjean, P Honeine, V Cheplygina, F Abdallah Medical Imaging with Deep Learning, 158-167, 2021 | 30 | 2021 |
| CoordConv-unet: investigating CoordConv for organ segmentation R El Jurdi, C Petitjean, P Honeine, F Abdallah IRBM 42 (6), 415-423, 2021 | 17 | 2021 |
| Organ segmentation in CT images with weak annotations: a preliminary study R El Jurdi, C Petitjean, P Honeine, F Abdallah 27th GRETSI Symposium on Signal and Image Processing, Lille, France, 2019 | 8 | 2019 |
| Investigating CoordConv for Fully and Weakly Supervised Medical Image Segmentation R El Jurdi, T Dargent, C Petitjean, P Honeine, F Abdallah 2020 Tenth International Conference on Image Processing Theory, Tools and …, 2020 | 6 | 2020 |
| How precise are performance estimates for typical medical image segmentation tasks? R El Jurdi, O Colliot 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 5 | 2023 |
| Introducing soft topology constraints in deep learning-based segmentation using projected pooling loss G Fu, R El Jurdi, L Chougar, D Dormont, R Valabregue, S Lehéricy, ... Medical Imaging 2023: Image Processing 12464, 359-364, 2023 | 4 | 2023 |
| Confidence intervals for performance estimates in 3D medical image segmentation RE Jurdi, G Varoquax, O Colliot arXiv preprint arXiv:2307.10926, 2023 | 3 | 2023 |
| Border irregularity loss for automated segmentation of primary brain lymphomas on post-contrast MRI R El Jurdi, L Nichelli, A Alentorn, G Vaillant, G Fu, K Hoang-Xuan, ... Medical Imaging 2024: Image Processing 12926, 430-437, 2024 | 2 | 2024 |
| Projected pooling loss for red nucleus segmentation with soft topology constraints G Fu, R El Jurdi, L Chougar, D Dormont, R Valabregue, S Lehéricy, ... Journal of Medical Imaging 11 (4), 044002-044002, 2024 | 1 | 2024 |
| Fully residual Unet-based semantic segmentation of automotive fisheye images: a comparison of rectangular and deformable convolutions R El Jurdi, AR Sekkat, Y Dupuis, P Vasseur, P Honeine Multimedia Tools and Applications 83 (13), 40269-40291, 2024 | 1 | 2024 |
| SMILE-UHURA Challenge--Small Vessel Segmentation at Mesoscopic Scale from Ultra-High Resolution 7T Magnetic Resonance Angiograms S Chatterjee, H Mattern, M Dörner, A Sciarra, F Dubost, H Schnurre, ... arXiv preprint arXiv:2411.09593, 2024 | | 2024 |
| Scrolling 2D U-Net for the 3D segmentation of small vessels on 7T magnetic resonance angiography A Yazdan-Panah, R El Jurdi, G Fu, J Arslan, R Valabregue, D Dormont, ... | | 2023 |
| Fourier Disentangled Multimodal Prior Knowledge Fusion for Red Nucleus Segmentation in Brain MRI G Fu, G Jimenez, S Loizillon, RE Jurdi, L Chougar, D Dormont, ... arXiv preprint arXiv:2211.01353, 2022 | | 2022 |
| Effect of Prior-based Losses on Segmentation Performance: A Benchmark RE Jurdi, C Petitjean, V Cheplygina, P Honeine, F Abdallah arXiv preprint arXiv:2201.02428, 2022 | | 2022 |
| Prior-constrained Convolutional Neural Networks for Medical Image Segmentation R El Jurdi Normandie Université; Université Libanaise, 2021 | | 2021 |
| Apprentissage profond avec contraintes a priori pour la segmentation d’images médicales R El Jurdi Normandie, 2021 | | 2021 |
Paul HoneineProfessor in Machine Learning & Signal Processing, LITIS Lab, Université de Rouen NormandieVerified email at univ-rouen.fr