Biomedical Image Registration

Architectures .- multiGradICON A Foundation Model for Multimodal Medical Image Registration.- XSynthMorph Generative Guided Deformation for Unsupervised Ill Posed Volumetric Recovery.- Large Deformation Registration with A Confidence guided Network.- Unleashing Registration Diffusion Models for Synthetic Paired 3D Training Data.- Feedback Attention for Unsupervised Cardiac Motion Estimation in 3D Echocardiography.- Learning Intra Patient Liver Registration with Graph Cross Attention.- Mamba Catch The Hype Or Rethink What Really Helps for Image Registration.- Robustness .- Assessing the Robustness of Image Registration Models Under Domain Shifts with Learnable Input Images.- Challenging the Robustness of Image Registration Similarity Metrics with Adversarial Attacks.- Comparative Study on Co Registration Techniques for Diffusion Weighted Breast MRI and Improved ADC Mappin.- A Learning Free Approach to Mitigate Abnormal Deformations in Medical Image Registration.- Deformable MRI Sequence Registration for AI based Prostate Cancer Diagnosis.- Atlas Fusion .- SINA Sharp Implicit Neural Atlases by Joint Optimisation of Representation and Deformation.- A Novel Fusion of CT MRI and US Images Based on Depth Camera and Electromagnetic Tracking.- Deep Learning Multi Channel Structural and Diffusion Tensor Neonatal Image Registration.- Registration by Regression RbR a Framework for Interpretable and Flexible Atlas Registration.- Diffusion Model Based Hierarchical Registration Framework for Whole Body Image.- F eature Similarity Learning .- Unsupervised Similarity Learning for Image Registration with Energy Based Models.- Segmentation by registration enabled SAM prompt engineering using five reference images.- Electron Microscopy Image Registration with Twin Axial Transformer and Progressive Training.- General Vision Encoder Features as Guidance in Medical Image Registration.- Rigid Single Slice in Volume registration via rotation equivariant 2D 3D feature matching.- A Self Supervised Image Registration Approach for Measuring Local Response Patterns in Metastatic Ovarian Cancer.- CAR Contrast Agnostic Deformable Medical Image Registration with Contrast Invariant Latent Regularization.- Efficiency .- High Performance Groupwise Cortical Surface Registration with Multimodal Surface Matching.- Optimising Region of Interest Registration for Multiple Tissue Whole Slide Images.- Automatic Registration of SHG and H E Images with Feature based Initial Alignment and Intensity based Instance Optimization Contribution to the COMULIS Challenge.- Towards Fast and Accurate Non rigid Liver Fusion.