Oliver Welin Odeback

According to our database, Oliver Welin Odeback authored at least 5 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Uncertainty-aware automated labeling of intracranial arteries using deep learning.

Javier Bisbal, Patrick Winter, Sebastian Jofre, Aaron Ponce-Sandoval, Sameer A. Ansari, Ramez N. Abdalla, Michael Markl, Oliver Welin Odeback, Sergio Uribe, Cristian Tejos, Julio Sotelo, Susanne Schnell, David Marlevi

BMC Medical Imaging, December, 2026

Unsupervised 4D Flow MRI Velocity Enhancement and Unwrapping Using Divergence-Free Neural Networks.

Javier Bisbal, Julio Sotelo, Hernán Mella, Oliver Welin Odeback, Joaquín Mura, David Marlevi, Junya Matsuda, Kotomi Iwata, Tetsuro Sekine, Cristian Tejos, Sergio Uribe

CoRR, April, 2026

Potential and challenges of generative adversarial networks for super-resolution in 4D flow MRI.

Oliver Welin Odeback, Arivazhagan Geetha Balasubramanian, Jonas Schollenberger, Edward Ferdian, Alistair A. Young, C. Alberto Figueroa, Susanne Schnell, Outi Tammisola, Ricardo Vinuesa, Tobias Granberg, Alexander Fyrdahl, David Marlevi

Comput. Biol. Medicine, 2026

2025

Automated Labeling of Intracranial Arteries with Uncertainty Quantification Using Deep Learning.

Javier Bisbal, Patrick Winter, Sebastian Jofre, Aaron Ponce-Sandoval, Sameer A. Ansari, Ramez N. Abdalla, Michael Markl, Oliver Welin Odeback, Sergio Uribe, Cristian Tejos, Julio Sotelo, Susanne Schnell, David Marlevi

CoRR, September, 2025

2022

Physics-Informed Neural Networks for prediction of transformer's temperature distribution.

Oliver Welin Odeback, Federica Bragone, Tor Laneryd, Michele Luvisotto, Kateryna Morozovska

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022