Combining Shape Priors with Conditional Adversarial Networks for Improved Scapula Segmentation in Mr Images. - Arnaud Boutillon; Bhushan Borotikar; Valérie Burdin; Pierre-Henri Conze (ISBI, 2020)

Multi-Structure Deep Segmentation With Shape Priors And Latent Adversarial Regularization. - Arnaud Boutillon; Bhushan Borotikar; Christelle Pons; Valérie Burdin; Pierre-Henri Conze (ISBI, 2021)

Multi-task, Multi-domain Deep Segmentation with Shared Representations and Contrastive Regularization for Sparse Pediatric Datasets. - Arnaud Boutillon; Pierre-Henri Conze; Christelle Pons; Valérie Burdin; Bhushan Borotikar (MICCAI (1), 2021)

Multi-structure bone segmentation in pediatric MR images with combined regularization from shape priors and adversarial network. - Arnaud Boutillon; Bhushan Borotikar; Valérie Burdin; Pierre-Henri Conze (Artif. Intell. Medicine, 2022)

Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors. - Arnaud Boutillon; Pierre-Henri Conze; Christelle Pons; Valérie Burdin; Bhushan Borotikar (Medical Image Anal., 2022)

Anatomically Parameterized Statistical Shape Model: Explaining Morphometry Through Statistical Learning. - Arnaud Boutillon; Asma Salhi; Valérie Burdin; Bhushan Borotikar (IEEE Trans. Biomed. Eng., 2022)

Regularized deep learning models for multi-anatomy segmentation in pediatric imaging. (Modèles d'apprentissage profond régularisés pour la segmentation multi-anatomie en imagerie pédiatrique). - Arnaud Boutillon (2022)