Probabilistic Atlases to Enforce Topological Constraints. - Udaranga Wickramasinghe; Graham Knott; Pascal Fua (MICCAI (1), 2019)

VM-Net: Mesh Modeling to Assist Segmentation in Volumetric Data. - Udaranga Wickramasinghe; Graham Knott; Pascal Fua (CoRR, 2019)

Voxel2Mesh: 3D Mesh Model Generation from Volumetric Data. - Udaranga Wickramasinghe; Edoardo Remelli; Graham Knott; Pascal Fua (MICCAI (4), 2020)

Deep Active Surface Models. - Udaranga Wickramasinghe; Pascal Fua; Graham Knott (CVPR, 2021)

Weakly Supervised Volumetric Image Segmentation with Deformed Templates. - Udaranga Wickramasinghe; Pascal Fua (CoRR, 2021)

ImplicitAtlas: Learning Deformable Shape Templates in Medical Imaging. - Jiancheng Yang; Udaranga Wickramasinghe; Bingbing Ni; Pascal Fua (CVPR, 2022)

Weakly Supervised Volumetric Image Segmentation with Deformed Templates. - Udaranga Wickramasinghe; Patrick M. Jensen; Mian Shah; Jiancheng Yang; Pascal Fua (MICCAI (5), 2022)

Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis. - Jiancheng Yang; Rui Shi; Udaranga Wickramasinghe; Qikui Zhu; Bingbing Ni; Pascal Fua (MICCAI (4), 2022)

Object Priors for Volumetric Image Segmentation. - Udaranga Wickramasinghe (2022)

Deep Active Latent Surfaces for Medical Geometries. - Patrick Møller Jensen; Udaranga Wickramasinghe; Anders B. Dahl; Pascal Fua; Vedrana Andersen Dahl (NLDL, 2025)