Deformable medical image registration: A survey
A Sotiras, C Davatzikos… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
Deformable image registration is a fundamental task in medical image processing. Among
its most important applications, one may cite: 1) multi-modality fusion, where information …
its most important applications, one may cite: 1) multi-modality fusion, where information …
Medical image registration: a review
FPM Oliveira, JMRS Tavares - Computer methods in biomechanics …, 2014 - Taylor & Francis
This paper presents a review of automated image registration methodologies that have been
used in the medical field. The aim of this paper is to be an introduction to the field, provide …
used in the medical field. The aim of this paper is to be an introduction to the field, provide …
Quicksilver: Fast predictive image registration–a deep learning approach
This paper introduces Quicksilver, a fast deformable image registration method. Quicksilver
registration for image-pairs works by patch-wise prediction of a deformation model based …
registration for image-pairs works by patch-wise prediction of a deformation model based …
Avoiding a replication crisis in deep-learning-based bioimage analysis
Deep learning algorithms are powerful tools for analyzing, restoring and transforming
bioimaging data. One promise of deep learning is parameter-free one-click image analysis …
bioimaging data. One promise of deep learning is parameter-free one-click image analysis …
Unsupervised 3D end-to-end medical image registration with volume tweening network
3D medical image registration is of great clinical importance. However, supervised learning
methods require a large amount of accurately annotated corresponding control points (or …
methods require a large amount of accurately annotated corresponding control points (or …
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) …
platform for teaching and improve reproducibility. Version 4 of the Insight ToolKit (ITK4) …
A reproducible evaluation of ANTs similarity metric performance in brain image registration
The United States National Institutes of Health (NIH) commit significant support to open-
source data and software resources in order to foment reproducibility in the biomedical …
source data and software resources in order to foment reproducibility in the biomedical …
MIND: Modality independent neighbourhood descriptor for multi-modal deformable registration
Deformable registration of images obtained from different modalities remains a challenging
task in medical image analysis. This paper addresses this important problem and proposes …
task in medical image analysis. This paper addresses this important problem and proposes …
Symmetric diffeomorphic image registration with cross-correlation: evaluating automated labeling of elderly and neurodegenerative brain
One of the most challenging problems in modern neuroimaging is detailed characterization
of neurodegeneration. Quantifying spatial and longitudinal atrophy patterns is an important …
of neurodegeneration. Quantifying spatial and longitudinal atrophy patterns is an important …
Diffeomorphic demons: Efficient non-parametric image registration
We propose an efficient non-parametric diffeomorphic image registration algorithm based on
Thirion's demons algorithm. In the first part of this paper, we show that Thirion's demons …
Thirion's demons algorithm. In the first part of this paper, we show that Thirion's demons …