Deep learning in medical image registration: a review. [PDF]
Phys Med Biol, 2020 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 according to their methods, functions and popularity.
Fu Y +5 more
europepmc +5 more sources
Slice-to-volume medical image registration: A survey [PDF]
Medical Image Analysis, 2017 Accepted for publication in Medical Image ...
Enzo Ferrante, Nikos Paragios
exaly +5 more sources
Deep learning-based optimization for accurate multimodal medical image registration [PDF]
Scientific ReportsIn recent years, there has been a growing need of incorporating more than one image registration methods in medical image processing. This has been because diagnosis and treatment planning made effective by these techniques. Our work focuses on a complex
Priyanka Chouksey +2 more
doaj +2 more sources
Deep learning in medical image registration: a survey [PDF]
Machine Vision and Applications, 2020 Accepted for publication by Machine Vision and Applications on January 8 ...
Grant Haskins +2 more
exaly +3 more sources
Enhancing unsupervised learning in medical image registration through scale-aware context aggregation [PDF]
iScienceSummary: Deformable image registration (DIR) is essential for medical image analysis, facilitating the establishment of dense correspondences between images to analyze complex deformations.
Yuchen Liu +4 more
doaj +2 more sources
PCANet-Based Structural Representation for Nonrigid Multimodal Medical Image Registration [PDF]
Sensors, 2018 Nonrigid multimodal image registration remains a challenging task in medical image processing and analysis. The structural representation (SR)-based registration methods have attracted much attention recently.
Xingxing Zhu +4 more
doaj +2 more sources
Physical Constraint Finite Element Model for Medical Image Registration. [PDF]
PLoS ONE, 2015 Due to being derived from linear assumption, most elastic body based non-rigid image registration algorithms are facing challenges for soft tissues with complex nonlinear behavior and with large deformations.
Jingya Zhang +4 more
doaj +2 more sources
Adaptive Diffeomorphic Multiresolution Demons and Their Application to Same Modality Medical Image Registration with Large Deformation [PDF]
International Journal of Biomedical Imaging, 2018 Diffeomorphic demons can guarantee smooth and reversible deformation and avoid unreasonable deformation. However, the number of iterations needs to be set manually, and this greatly influences the registration result.
Chang Wang +3 more
doaj +2 more sources
The same modality medical image registration with large deformation and clinical application based on adaptive diffeomorphic multi-resolution demons [PDF]
BMC Medical Imaging, 2018 Background Diffeomorphic demons can not only guarantee smooth and reversible deformation, but also avoid unreasonable deformation. However, the number of iterations which has great influence on the registration result needs to be set manually.
Chang Wang +3 more
doaj +2 more sources
Recurrence with Correlation Network for Medical Image Registration
Applied SciencesThis work presents Recurrence with Correlation Network(RWCNet), a novel multi-scale recurrent neural network architecture for medical image registration that integrates core principles from optical flow, including correlation volume computation and ...
Vignesh Sivan +5 more
doaj +3 more sources