Results 41 to 50 of about 7,220,066 (335)
Multi-contrast magnetic resonance (MR) image registration is useful in the clinic to achieve fast and accurate imaging-based disease diagnosis and treatment planning.
Weijian Huang +7 more
semanticscholar +1 more source
Adversarial Deformation Regularization for Training Image Registration Neural Networks [PDF]
We describe an adversarial learning approach to constrain convolutional neural network training for image registration, replacing heuristic smoothness measures of displacement fields often used in these tasks.
Barratt, Dean C. +8 more
core +2 more sources
The Insight ToolKit Image Registration Framework
Publicly available scientific resources help establish evaluation standards, provide a platform for teaching and improve reproducibility. Version 4 of the Insight ToolKit ( ITK4 ) seeks to es- tablish new standards in publicly available image ...
Brian eAvants +5 more
doaj +1 more source
Hierarchical transformation-guided image registration for two-dimensional gel electrophoresis image
Many proteomics studies have been devoted to investigate the gel-based methods for separation and fractionation of complex protein mixture extracted from tissues, cells, and other biological specimens.
Lifang Wei +5 more
doaj +1 more source
Multimodal Remote Sensing Image Registration Methods and Advancements: A Survey
With rapid advancements in remote sensing image registration algorithms, comprehensive imaging applications are no longer limited to single-modal remote sensing images.
Xinyue Zhang +5 more
semanticscholar +1 more source
A Deep Learning Framework for Unsupervised Affine and Deformable Image Registration
Image registration, the process of aligning two or more images, is the core technique of many (semi-)automatic medical image analysis tasks. Recent studies have shown that deep learning methods, notably convolutional neural networks (ConvNets), can be ...
Berendsen, Floris F. +5 more
core +2 more sources
Locally Orderless Registration [PDF]
Image registration is an important tool for medical image analysis and is used to bring images into the same reference frame by warping the coordinate field of one image, such that some similarity measure is minimized.
Darkner, Sune, Sporring, Jon
core +2 more sources
Purpose: We evaluated and benchmarked a novel deformable image registration (DIR) software functionality (DirOne, Cosylab d.d., Ljubljana, Slovenia) by comparing it to two commercial systems, MIM and VelocityAI, following AAPM task group 132 (TG-132 ...
Shorug S. Alshammari +8 more
doaj +1 more source
Deep learning in medical image registration: a review [PDF]
This paper presents a review of deep learning (DL)-based medical image registration methods. We summarized the latest developments and applications of DL-based registration methods in the medical field. These methods were classified into seven categories
Yabo Fu +5 more
semanticscholar +1 more source
Consistent joint photometric and geometric image registration [PDF]
In this paper, we derive a novel robust image alignment technique that performs joint geometric and photometric registration in the total least square sense.
Goossens, Bart +3 more
core +2 more sources

