2 papers
cs.CV2025
HyperSORT: Self-Organising Robust Training with hyper-networks
Samuel Joutard, Marijn Stollenga, Marc Balle Sanchez +2
Medical imaging datasets often contain heterogeneous biases ranging from erroneous labels to inconsistent labeling styles. Such biases can negatively impact deep segmentation netwo…
eess.IV2024
HyperSpace: Hypernetworks for spacing-adaptive image segmentation
Samuel Joutard, Maximilian Pietsch, Raphael Prevost
Medical images are often acquired in different settings, requiring harmonization to adapt to the operating point of algorithms. Specifically, to standardize the physical spacing of…