Multi-task, multi-domain deep segmentation with shared representations and contrastive regularization for sparse pediatric datasets

Arnaud Boutillon (1, 2) , Pierre-Henri Conze (1, 2) , Christelle Pons (2, 3, 4) , Valérie Burdin (1, 2) , Bhushan Borotikar (2, 3, 5)

1 IMT Atlantique - ITI - Département lmage et Traitement Information
2 LaTIM - Laboratoire de Traitement de l'Information Medicale
3 CHRU Brest - Centre Hospitalier Régional Universitaire de Brest
4 ILDYS - Fondation ILDYS
5 Symbiosis International University

Domaines: Traitement des images [eess.IV]; Imagerie médicale; Traitement du signal et de l'image [eess.SP]

Arnaud Boutillon, Pierre-Henri Conze, Christelle Pons, Valérie Burdin, Bhushan Borotikar. Multi-task, multi-domain deep segmentation with shared representations and contrastive regularization for sparse pediatric datasets. MICCAI 2021: International Conference on Medical Image Computing and Computer Assisted Intervention, Sep 2021, Strasbourg, France. ⟨10.1007/978-3-030-87193-2_23⟩. ⟨hal-03337397⟩