3 papers
cs.LG2026
Unsupervised 4D Flow MRI Velocity Enhancement and Unwrapping Using Divergence-Free Neural Networks
Javier Bisbal, Julio Sotelo, Hernán Mella +8
This work introduces an unsupervised Divergence and Aliasing-Free neural network (DAF-FlowNet) for 4D Flow Magnetic Resonance Imaging (4D Flow MRI) that jointly enhances noisy velo…
eess.IV2025
Dipole-lets: a new multiscale decomposition for MR phase and quantitative susceptibility mapping
Ignacio Contreras-Zúñiga, Mathias Lambert, Benjamín Palacios +2
Identifying and suppressing streaking artifacts is one of the most challenging problems in quantitative susceptibility mapping. The measured phase from tissue magnetization is assu…
cs.CV2025
Automated Labeling of Intracranial Arteries with Uncertainty Quantification Using Deep Learning
Javier Bisbal, Patrick Winter, Sebastian Jofre +10
Accurate anatomical labeling of intracranial arteries is essential for cerebrovascular diagnosis and hemodynamic analysis but remains time-consuming and subject to interoperator va…