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2020 – today
- 2024
[i4]Kristine Aavild Juhl, Jakob M. Slipsager, Ole De Backer, Klaus F. Kofoed, Oscar Camara, Rasmus R. Paulsen:
Signed Distance Field based Segmentation and Statistical Shape Modelling of the Left Atrial Appendage. CoRR abs/2402.07708 (2024)- 2022
- [c10]Kristine Sørensen
, Oscar Camara, Ole De Backer, Klaus F. Kofoed, Rasmus R. Paulsen:
NUDF: Neural Unsigned Distance Fields for High Resolution 3D Medical Image Segmentation. ISBI 2022: 1-5 - [c9]Paula López Diez, Kristine Sørensen, Josefine Vilsbøll Sundgaard, Khassan Diab, Ján Margeta, François Patou, Rasmus R. Paulsen:
Deep Reinforcement Learning for Detection of Inner Ear Abnormal Anatomy in Computed Tomography. MICCAI (3) 2022: 697-706 - [c8]Paula López Diez, Kristine Aavild Juhl, Josefine Vilsbøll Sundgaard, Hassan Diab, Ján Margeta, François Patou, Rasmus R. Paulsen:
Deep Reinforcement Learning for Detection of Abnormal Anatomies. NLDL 2022 - [c7]Bjørn Schreblowski Hansen, Mathias Micheelsen Lowes, Thomas Ørkild, Anders B. Dahl, Vedrana Andersen Dahl, Ole De Backer, Oscar Camara, Rasmus R. Paulsen, Christian Keilstrup Ingwersen, Kristine Sørensen:
SparseMeshCNN with Self-Attention for Segmentation of Large Meshes. NLDL 2022 - [i3]Josefine Vilsbøll Sundgaard, Kristine Aavild Juhl, Jakob Mølkjær Slipsager:
EyeLoveGAN: Exploiting domain-shifts to boost network learning with cycleGANs. CoRR abs/2203.05344 (2022) - [i2]Xabier Morales, Jordi Mill, Guillem Simeon, Kristine A. Juhl, Ole De Backer, Rasmus R. Paulsen, Oscar Camara:
Geometric Deep Learning for the Assessment of Thrombosis Risk in the Left Atrial Appendage. CoRR abs/2210.10563 (2022) - 2021
- [c6]Xabier Morales, Jordi Mill, Guillem Simeon, Kristine A. Juhl, Ole De Backer, Rasmus R. Paulsen, Oscar Camara:
Geometric Deep Learning for the Assessment of Thrombosis Risk in the Left Atrial Appendage. FIMH 2021: 639-649 - [c5]Kristine Aavild Juhl, Xabier Morales, Ole De Backer, Oscar Camara, Rasmus Reinhold Paulsen:
Implicit Neural Distance Representation for Unsupervised and Supervised Classification of Complex Anatomies. MICCAI (2) 2021: 405-415 - 2020
- [c4]Josefine Vilsbøll Sundgaard, Kristine Aavild Juhl, Klaus Fuglsang Kofoed, Rasmus R. Paulsen:
Multi-planar whole heart segmentation of 3D CT images using 2D spatial propagation CNN. Medical Imaging: Image Processing 2020: 113131Y
2010 – 2019
- 2019
- [c3]Xabier Morales, Jordi Mill, Kristine A. Juhl, Andy L. Olivares, Guillermo Jiménez-Pérez, Rasmus R. Paulsen, Oscar Camara:
Deep Learning Surrogate of Computational Fluid Dynamics for Thrombus Formation Risk in the Left Atrial Appendage. STACOM@MICCAI 2019: 157-166 - [i1]Rasmus R. Paulsen, Kristine Aavild Juhl, Thilde Marie Haspang, Thomas Folkmann Hansen, Melanie Ganz, Gudmundur Einarsson:
Multi-view consensus CNN for 3D facial landmark placement. CoRR abs/1910.06007 (2019) - 2018
- [c2]Rasmus R. Paulsen, Kristine Aavild Juhl, Thilde Marie Haspang, Thomas Folkmann Hansen, Melanie Ganz, Gudmundur Einarsson:
Multi-view Consensus CNN for 3D Facial Landmark Placement. ACCV (1) 2018: 706-719 - [c1]Jakob M. Slipsager, Kristine A. Juhl, Per E. Sigvardsen, Klaus F. Kofoed, Ole De Backer, Andy L. Olivares, Oscar Camara, Rasmus R. Paulsen:
Statistical Shape Clustering of Left Atrial Appendages. STACOM@MICCAI 2018: 32-39
Coauthor Index
aka: Rasmus Reinhold Paulsen
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