Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
A survey on deep learning in medical image registration: New technologies, uncertainty, evaluation metrics, and beyond
Deep learning technologies have dramatically reshaped the field of medical image
registration over the past decade. The initial developments, such as regression-based and U …
registration over the past decade. The initial developments, such as regression-based and U …
Deep learning in medical image registration
Image registration is a fundamental task in multiple medical image analysis applications.
With the advent of deep learning, there have been significant advances in algorithmic …
With the advent of deep learning, there have been significant advances in algorithmic …
H-vit: A hierarchical vision transformer for deformable image registration
This paper introduces a novel top-down representation approach for deformable image
registration which estimates the deformation field by capturing various short-and long-range …
registration which estimates the deformation field by capturing various short-and long-range …
Accurate point cloud registration with robust optimal transport
This work investigates the use of robust optimal transport (OT) for shape matching.
Specifically, we show that recent OT solvers improve both optimization-based and deep …
Specifically, we show that recent OT solvers improve both optimization-based and deep …
A coarse-to-fine deformable transformation framework for unsupervised multi-contrast MR image registration with dual consistency constraint
Multi-contrast magnetic resonance (MR) image registration is useful in the clinic to achieve
fast and accurate imaging-based disease diagnosis and treatment planning. Nevertheless …
fast and accurate imaging-based disease diagnosis and treatment planning. Nevertheless …
Deep learning for medical image registration: A comprehensive review
Image registration is a critical component in the applications of various medical image
analyses. In recent years, there has been a tremendous surge in the development of deep …
analyses. In recent years, there has been a tremendous surge in the development of deep …
Generative adversarial registration for improved conditional deformable templates
Deformable templates are essential to large-scale medical image registration, segmentation,
and population analysis. Current conventional and deep network-based methods for …
and population analysis. Current conventional and deep network-based methods for …
Geometry-consistent adversarial registration model for unsupervised multi-modal medical image registration
Y Liu, W Wang, Y Li, H Lai, S Huang… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Deformable multi-modal medical image registration aligns the anatomical structures of
different modalities to the same coordinate system through a spatial transformation. Due to …
different modalities to the same coordinate system through a spatial transformation. Due to …
CorticalFlow: a diffeomorphic mesh transformer network for cortical surface reconstruction
In this paper, we introduce CorticalFlow, a new geometric deep-learning model that, given a
3-dimensional image, learns to deform a reference template towards a targeted object. To …
3-dimensional image, learns to deform a reference template towards a targeted object. To …
Nodeo: A neural ordinary differential equation based optimization framework for deformable image registration
Deformable image registration (DIR), aiming to find spatial correspondence between
images, is one of the most critical problems in the domain of medical image analysis. In this …
images, is one of the most critical problems in the domain of medical image analysis. In this …