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Hélène Urien
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2020 – today
- 2024
- [j2]Carole H. Sudre
, Kimberlin M. H. van Wijnen, Florian Dubost, Hieab Adams, David Atkinson
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. Medical Image Anal. 91: 103029 (2024) - [c9]Nan Ding, Florence Rossant, Hélène Urien, Jérémie Sublime, Paul Bastelica, Christophe Baudouin, Michel Pâques:
A Complete Method for the 3D Reconstruction of Axonal Pathways from 2 Orthogonal 3D OCT Images of the Lamina Cribrosa. ICASSP 2024: 2360-2364 - [c8]Abir Aissa, Florence Rossant, Hélène Urien, Michel Pâques:
Deep Learning-Based Segmentation of Retinal Vessels in Adaptive Optics Ophthalmoscopy Images. ISBI 2024: 1-5 - [c7]Seoyoung Oh, Mélanie Pélégrini-Issac, Hélène Urien, Véronique Marchand-Pauvert, Jérémie Sublime:
Deep Neural Networks Comparison for MRI Segmentation of the Brainstem. ISBI 2024: 1-5 - 2023
- [c6]Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali
Why is the Winner the Best? CVPR 2023: 19955-19966 - [c5]Nan Ding, Florence Rossant, Hélène Urien, Jérémie Sublime, Michel Pâques:
3D Orthogonal SD-OCT Volumes Registration for the Enhancement of Pores in Lamina Cribrosa. ISBI 2023: 1-5 - 2022
- [c4]Nan Ding, Hélène Urien, Florence Rossant, Jérémie Sublime, Michel Pâques:
Context-aware Attention U-Net for the segmentation of pores in Lamina Cribrosa using partial points annotation. ICMLA 2022: 537-542 - [i1]Carole H. Sudre
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. CoRR abs/2208.07167 (2022) - 2020
- [c3]Thomas Le Couedic, Raphael Caillon, Florence Rossant, Anne Joutel
Deep-learning based segmentation of challenging myelin sheaths. IPTA 2020: 1-6
2010 – 2019
- 2018
- [j1]Yongchao Xu
The challenge of cerebral magnetic resonance imaging in neonates: A new method using mathematical morphology for the segmentation of structures including diffuse excessive high signal intensities. Medical Image Anal. 48: 75-94 (2018) - 2017
- [c2]Hélène Urien, Irène Buvat, Nicolas Rougon, Michaël Soussan, Isabelle Bloch:
Brain Lesion Detection in 3D PET Images Using Max-Trees and a New Spatial Context Criterion. ISMM 2017: 455-466 - 2016
- [c1]Hélène Urien, Irène Buvat, Nicolas Rougon, Sarah Boughdad, Isabelle Bloch:
3D PET-driven multi-phase segmentation of meningiomas in MRI. ISBI 2016: 407-410
Coauthor Index
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