On the relevance of edge-conditioned convolution for GNN-based semantic image segmentation using spatial relationships. - Patty Coupeau; Jean-Baptiste Fasquel; Mickaël Dinomais (IPTA, 2022)

Patch-based 3D U-Net and transfer learning for longitudinal piglet brain segmentation on MRI. - Patty Coupeau; Jean-Baptiste Fasquel; E. Mazerand; P. Menei; C. N. Montero-Menei; Mickaël Dinomais (Comput. Methods Programs Biomed., 2022)

Detecting Cerebral Palsy in Neonatal Stroke Children: GNN-Based Detection Considering the Structural Organization of Basal Ganglia. - Patty Coupeau; Jean-Baptiste Fasquel; Josselin Demas; Lucie Hertz-Pannier; Mickaël Dinomais (ISBI, 2023)

Multi-View Graph Neural Network for Semantic Image Segmentation. - Elie Karam; Nisrine Jrad; Patty Coupeau; Jean-Baptiste Fasquel; Fahed Abdallah (IPTA, 2024)

GNN-based structural information to improve DNN-based basal ganglia segmentation in children following early brain lesion. - Patty Coupeau; Jean-Baptiste Fasquel; Lucie Hertz-Pannier; Mickaël Dinomais (Comput. Medical Imaging Graph., 2024)

On the use of GNN-based structural information to improve CNN-based semantic image segmentation. - Patty Coupeau; Jean-Baptiste Fasquel; Mickaël Dinomais (J. Vis. Commun. Image Represent., 2024)