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Found 7 papers, 7 papers with code
Cross-Sim-NGF: FFT-Based Global Rigid Multimodal Alignment of Image Volumes using Normalized Gradient Fields
The method is fast; a 3. 4Mvoxel global rigid alignment requires approximately 40 seconds of computation, and the proposed algorithm outperforms a direct algorithm for the same task by more than three orders of magnitude.
Fast computation of mutual information in the frequency domain with applications to global multimodal image alignment
We propose an efficient algorithm for computing MI for all discrete displacements (formalized as the cross-mutual information function (CMIF)), which is based on cross-correlation computed in the frequency domain.
Is Image-to-Image Translation the Panacea for Multimodal Image Registration? A Comparative Study
We compare the performance of four Generative Adversarial Network (GAN)-based I2I translation methods and one contrastive representation learning method, subsequently combined with two representative monomodal registration methods, to judge the effectiveness of modality translation for multimodal image registration.
INSPIRE: Intensity and spatial information-based deformable image registration
INSPIRE exhibits excellent performance on the FIRE dataset, substantially outperforming several domain-specific methods.}
CoMIR: Contrastive Multimodal Image Representation for Registration
We propose contrastive coding to learn shared, dense image representations, referred to as CoMIRs (Contrastive Multimodal Image Representations).
Stochastic Distance Transform
We, thus, define a stochastic distance transform (SDT), which has an adjustable robustness to noise.
Fast and Robust Symmetric Image Registration Based on Distances Combining Intensity and Spatial Information
The method exhibits greater robustness and higher accuracy than similarity measures in common use, when inserted into a standard gradient-based registration framework available as part of the open source Insight Segmentation and Registration Toolkit (ITK).
