Helene Urien
Helene Urien
Associate professor, LISITE, ISEP, Issy-les-Moulineaux, France
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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
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
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
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
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
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
Détection et segmentation de lésions dans des images cérébrales TEP-IRM
H Urien
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
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
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
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
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
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