3D PET-driven multi-phase segmentation of meningiomas in MRI. - Hélène Urien; Irène Buvat; Nicolas Rougon; Sarah Boughdad; Isabelle Bloch (ISBI, 2016)

Brain Lesion Detection in 3D PET Images Using Max-Trees and a New Spatial Context Criterion. - Hélène Urien; Irène Buvat; Nicolas Rougon; Michaël Soussan; Isabelle Bloch (ISMM, 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 signal intensities. - Yongchao Xu; Baptiste Morel; Sonia Dahdouh; Élodie Puybareau; Alessio Virzi; Hélène Urien; Thierry Géraud; Catherine Adamsbaum; Isabelle Bloch (Medical Image Anal., 2018)

Deep-learning based segmentation of challenging myelin sheaths. - Thomas Le Couedic; Raphael Caillon; Florence Rossant; Anne Joutel; Hélène Urien; Rikesh M. Rajani (IPTA, 2020)

Context-aware Attention U-Net for the segmentation of pores in Lamina Cribrosa using partial points annotation. - Nan Ding; Hélène Urien; Florence Rossant; Jérémie Sublime; Michel Pâques (ICMLA, 2022)

Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. - Carole H. Sudre; Kimberlin M. H. van Wijnen; Florian Dubost; Hieab Adams; David Atkinson; Frederik Barkhof; Mahlet A. Birhanu; Esther E. Bron; Robin Camarasa; Nish Chaturvedi; Yuan Chen; Zihao Chen; et al. (CoRR, 2022)

Why is the Winner the Best? - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Sharib Ali; Vincent Andrearczyk; Marc Aubreville; Ujjwal Baid; Spyridon Bakas; Niranjan Balu; et al. (CVPR, 2023)

3D Orthogonal SD-OCT Volumes Registration for the Enhancement of Pores in Lamina Cribrosa. - Nan Ding; Florence Rossant; Hélène Urien; Jérémie Sublime; Michel Pâques (ISBI, 2023)

A Complete Method for the 3D Reconstruction of Axonal Pathways from 2 Orthogonal 3D OCT Images of the Lamina Cribrosa. - Nan Ding; Florence Rossant; Hélène Urien; Jérémie Sublime; Paul Bastelica; Christophe Baudouin; Michel Pâques (ICASSP, 2024)

Deep Learning-Based Segmentation of Retinal Vessels in Adaptive Optics Ophthalmoscopy Images. - Abir Aissa; Florence Rossant; Hélène Urien; Michel Pâques (ISBI, 2024)

Deep Neural Networks Comparison for MRI Segmentation of the Brainstem. - Seoyoung Oh; Mélanie Pélégrini-Issac; Hélène Urien; Véronique Marchand-Pauvert; Jérémie Sublime (ISBI, 2024)

Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. - Carole H. Sudre; Kimberlin M. H. van Wijnen; Florian Dubost; Hieab Adams; David Atkinson; Frederik Barkhof; Mahlet A. Birhanu; Esther E. Bron; Robin Camarasa; Nish Chaturvedi; Yuan Chen; Zihao Chen; et al. (Medical Image Anal., 2024)