Udaranga Wickramasinghe

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 12

Top Topics

Volumetric Data

Top Venues

Publications

Patrick M. Jensen, Udaranga Wickramasinghe, Anders B. Dahl, Pascal Fua, Vedrana Andersen Dahl
Deep Active Latent Surfaces for Medical Geometries. CoRR (2022)
Jiancheng Yang, Rui Shi, Udaranga Wickramasinghe, Qikui Zhu, Bingbing Ni, Pascal Fua
Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis. MICCAI (4) (2022)
Jiancheng Yang, Rui Shi, Udaranga Wickramasinghe, Qikui Zhu, Bingbing Ni, Pascal Fua
Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis. CoRR (2022)
Jiancheng Yang, Udaranga Wickramasinghe, Bingbing Ni, Pascal Fua
ImplicitAtlas: Learning Deformable Shape Templates in Medical Imaging. CVPR (2022)
Udaranga Wickramasinghe, Patrick M. Jensen, Mian Shah, Jiancheng Yang, Pascal Fua
Weakly Supervised Volumetric Image Segmentation with Deformed Templates. MICCAI (5) (2022)
Udaranga Wickramasinghe, Pascal Fua, Graham Knott
Deep Active Surface Models. CVPR (2021)
Udaranga Wickramasinghe, Pascal Fua
Weakly Supervised Volumetric Image Segmentation with Deformed Templates. CoRR (2021)
Udaranga Wickramasinghe, Edoardo Remelli, Graham Knott, Pascal Fua
Voxel2Mesh: 3D Mesh Model Generation from Volumetric Data. MICCAI (4) (2020)
Udaranga Wickramasinghe, Graham Knott, Pascal Fua
Deep Active Surface Models. CoRR (2020)
Udaranga Wickramasinghe, Graham Knott, Pascal Fua
Probabilistic Atlases to Enforce Topological Constraints. CoRR (2019)
Udaranga Wickramasinghe, Graham Knott, Pascal Fua
VM-Net: Mesh Modeling to Assist Segmentation in Volumetric Data. CoRR (2019)
Udaranga Wickramasinghe, Graham Knott, Pascal Fua
Probabilistic Atlases to Enforce Topological Constraints. MICCAI (1) (2019)