Results 281 to 290 of about 6,533,550 (336)

MURF: Mutually Reinforcing Multi-Modal Image Registration and Fusion

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Existing image fusion methods are typically limited to aligned source images and have to “tolerate” parallaxes when images are unaligned. Simultaneously, the large variances between different modalities pose a significant challenge for multi-modal image ...
Han Xu, Jiteng Yuan, Jiayi Ma
semanticscholar   +1 more source

TransMatch: A Transformer-Based Multilevel Dual-Stream Feature Matching Network for Unsupervised Deformable Image Registration

IEEE Transactions on Medical Imaging, 2023
Feature matching, which refers to establishing the correspondence of regions between two images (usually voxel features), is a crucial prerequisite of feature-based registration.
Zeyuan Chen, Yuanjie Zheng, J. Gee
semanticscholar   +1 more source

Interpretable Multi-Modal Image Registration Network Based on Disentangled Convolutional Sparse Coding

IEEE Transactions on Image Processing, 2023
Multi-modal image registration aims to spatially align two images from different modalities to make their feature points match with each other. Captured by different sensors, the images from different modalities often contain many distinct features ...
Xin Deng   +4 more
semanticscholar   +1 more source

SuperFusion: A Versatile Image Registration and Fusion Network with Semantic Awareness

IEEE/CAA Journal of Automatica Sinica, 2022
Image fusion aims to integrate complementary information in source images to synthesize a fused image comprehensively characterizing the imaging scene.
Linfeng Tang   +4 more
semanticscholar   +1 more source

RFNet: Unsupervised Network for Mutually Reinforcing Multi-modal Image Registration and Fusion

Computer Vision and Pattern Recognition, 2022
In this paper, we propose a novel method to realize multimodal image registration and fusion in a mutually reinforcing framework, termed as RFNet. We handle the registration in a coarse-to-fine fashion.
Han Xu   +4 more
semanticscholar   +1 more source

VoxelMorph: A Learning Framework for Deformable Medical Image Registration

IEEE Transactions on Medical Imaging, 2018
We present VoxelMorph, a fast learning-based framework for deformable, pairwise medical image registration. Traditional registration methods optimize an objective function for each pair of images, which can be time-consuming for large datasets or rich ...
Guha Balakrishnan   +4 more
semanticscholar   +1 more source

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