Combining Superpixels and Deep Learning Approaches to Segment Active Organs in Metastatic Breast Cancer PET Images*. - Constance Fourcade; Ludovic Ferrer; Gianmarco Santini; Noémie Moreau; Caroline Rousseau; Marie Lacombe; Camille Guillerminet; Mathilde Colombié; Mario Campone; Diana Mateus; Mathieu Rubeaux (EMBC, 2020)

Deep learning approaches for bone and bone lesion segmentation on 18FDG PET/CT imaging in the context of metastatic breast cancer*. - Noémie Moreau; Caroline Rousseau; Constance Fourcade; Gianmarco Santini; Ludovic Ferrer; Marie Lacombe; Camille Guillerminet; Mario Campone; Mathilde Colombié; Mathieu Rubeaux; Nicolas Normand (EMBC, 2020)

Deformable Image Registration with Deep Network Priors: a Study on Longitudinal PET Images. - Constance Fourcade; Ludovic Ferrer; Noémie Moreau; Gianmarco Santini; Aishlinn Brennan; Caroline Rousseau; Marie Lacombe; Vincent Fleury; Mathilde Colombié; Pascal Jézéquel; Mario Campone; Mathieu Rubeaux; et al. (CoRR, 2021)

Influence of inputs for bone lesion segmentation in longitudinal 18F-FDG PET/CT imaging studies. - Noémie Moreau; Caroline Rousseau; Constance Fourcade; Gianmarco Santini; Ludovic Ferrer; Marie Lacombe; Camille Guillerminet; Mathilde Colombié; Pascal Jézéquel; Mario Campone; Mathieu Rubeaux; Nicolas Normand (EMBC, 2022)