55 citations · 59 across the 3 of their papers we have counts for
3 papers
Can representation learning for multimodal image registration be improved by supervision of intermediate layers?
Elisabeth Wetzer, Joakim Lindblad, Nataša Sladoje
Multimodal imaging and correlative analysis typically require image alignment. Contrastive learning can generate representations of multimodal images, reducing the challenging task…
Cross-Modality Sub-Image Retrieval using Contrastive Multimodal Image Representations
Eva Breznik, Elisabeth Wetzer, Joakim Lindblad +1
In tissue characterization and cancer diagnostics, multimodal imaging has emerged as a powerful technique. Thanks to computational advances, large datasets can be exploited to disc…
CoMIR: Contrastive Multimodal Image Representation for Registration
Nicolas Pielawski, Elisabeth Wetzer, Johan Öfverstedt +4
We propose contrastive coding to learn shared, dense image representations, referred to as CoMIRs (Contrastive Multimodal Image Representations). CoMIRs enable the registration of…