| Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure O Commowick, A Istace, M Kain, B Laurent, F Leray, M Simon, SC Pop, ... Scientific reports 8 (1), 13650, 2018 | 232 | 2018 |
| Why is the winner the best? M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, S Ali, ... arXiv preprint arXiv:2303.17719, 2023 | 17 | 2023 |
| Brain Lesion Detection in 3D PET Images Using Max-Trees and a New Spatial Context Criterion H Urien, I Buvat, N Rougon, M Soussan, I Bloch International Symposium on Mathematical Morphology and Its Applications to …, 2017 | 12 | 2017 |
| The challenge of cerebral magnetic resonance imaging in neonates: A new method using mathematical morphology for the segmentation of structures including diffuse excessive high … Y Xu, B Morel, S Dahdouh, É Puybareau, A Virzì, H Urien, T Géraud, ... Medical image analysis 48, 75-94, 2018 | 8 | 2018 |
| Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021 CH Sudre, K Van Wijnen, F Dubost, H Adams, D Atkinson, F Barkhof, ... arXiv preprint arXiv:2208.07167, 2022 | 6 | 2022 |
| A 3D hierarchical multimodal detection and segmentation method for multiple sclerosis lesions in MRI H Urien, I Buvat, N Rougon, I Bloch MSSEG Challenge Proceedings: Multiple Sclerosis Lesions Segmentation …, 2016 | 6 | 2016 |
| Deep-learning based segmentation of challenging myelin sheaths T Le Couedic, A Joutel, R Caillon, H Urien, F Rossant, R Rajani International Conference on Image Processing Theory, Tools and Applications …, 2020 | 4 | 2020 |
| 3D PET-driven multi-phase segmentation of meningiomas in MRI H Urien, I Buvat, N Rougon, S Boughdad, I Block Biomedical Imaging (ISBI), 2016 IEEE 13th International Symposium on, 407-410, 2016 | 4 | 2016 |
| Context-aware Attention U-Net for the segmentation of pores in Lamina Cribrosa using partial points annotation N Ding, H Urien, F Rossant, J Sublime, M Paques 21st IEEE International Conference on Machine Learning and Applications …, 2022 | 3 | 2022 |
| Détection et segmentation de lésions dans des images cérébrales TEP-IRM H Urien | 2 | 2018 |
| 3D ORTHOGONAL SD-OCT VOLUMES REGISTRATION FOR THE ENHANCEMENT OF PORES IN LAMINA CRIBROSA N Ding, F Rossant, H Urien, J Sublime, M Paques 20th International Symposium on Biomedical Imaging (ISBI), 2023 | 1 | 2023 |
| DEEP NEURAL NETWORKS COMPARISON FOR MRI SEGMENTATION OF THE BRAINSTEM S Oh, M Pélégrini-Issac, H Urien, V Marchand-Pauvert, J Sublime The 21st IEEE International Symposium on Biomedical Imaging, 2024 | | 2024 |
| A Complete Method for the 3D Reconstruction of Axonal Pathways from 2 Orthogonal 3D OCT Images of the Lamina Cribrosa N Ding, F Rossant, H Urien, J Sublime, P Bastelica, C Baudouin, ... ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| Recalage des volumes OCT 3D orthogonaux pour le rehaussement des pores de la lame criblée F Rossant, N Ding, H Urien, J Sublime, P Bastelica, C Baudouin, ... GRESTI, 2023 | | 2023 |
| Attention U-Net pour la Segmentation des Pores de la Lame Criblée N Ding, H Urien, F Rossant, J Sublime, P Bastelica, M Paques GRETSI, 2022 | | 2022 |
| Détection et segmentation de tumeurs cérébrales en imagerie hybride TEP-IRM H Urien, I Buvat, NF Rougon, M Soussan, I Bloch Recherche en Imagerie et Technologies pour la Santé (RITS), 50, 2017 | | 2017 |
| F18-choline PET/CT and atypical meningioma: a feasibility study. S Boughdad, H Mammar, H Urien, I Buvat, C Nioche, F ORLHAC, ... Journal of Nuclear Medicine 57 (supplement 2), 624-624, 2016 | | 2016 |
| Fully automatic 2D segmentation of EPVS on T2 images using max-trees and random forest H Urien, E Puybareau, G Tochon | | |
| Fully automatic segmentation of microbleedings on MR images using mathematical morphology and Random forest E Puybareau, H Urien, G Tochon | | |
| Segmentation de tumeurs cérébrales en imagerie hybride TEP-IRM H Urien, S Boughdad, JL Alberini, I Buvat, N Rougon, I Bloch | | |
