Overall registration success rate (in percent) for the evaluated methods on four datasets.

Larger is better. The success rate λ is aggregated over all transformation levels for each dataset. Standard deviations are taken over the 3 folds for Zurich, Cytological and Radiological data. cyc, drit, p2p, star, comir,
MIND(α-AMD),MIND(MSD)
, NGF, MI and CA denote the methods CycleGAN, DRIT++, pix2pix, StarGANv2, CoMIR, MIND+α-AMD-based registr., MIND+MSD-based registr., NGF, MI maximisation and CurveAlign, respectively. _A (resp. _B) denotes using generated Modality A (resp. B) for registration. B2A refers to the multimodal registration performance on the acquired images without modality translation. MI, MIND and NGF provide reference performance of good conventional multimodal registration methods. For each dataset, the best I2I-based approach, as well as the overall best performing (multimodal) approach, are bolded.