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LDDMM Meets GANs: Generative Adversarial Networks for Diffeomorphic Registration
The purpose of this work is to contribute to the state of the art of deep-learning methods for diffeomorphic registration. We propose an adversarial...
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Combining the Band-Limited Parameterization and Semi-Lagrangian Runge–Kutta Integration for Efficient PDE-Constrained LDDMM
The family of PDE-constrained Large Deformation Diffeomorphic Metric Map** (LDDMM) methods is emerging as a particularly interesting approach for...
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Comparison of Different Parallel Transport Methods for the Study of Deformations in 3D Cardiac Data
Comparing the deformations of different beating hearts is a challenging operation. As in clinics the impaired condition is often recognized upon...
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Diffeomorphic ICP Registration for Single and Multiple Point Sets
We propose a generalization of the iterative closest point (ICP) algorithm for point set registration, in which the registration functions are...
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Moment Evolution Equations and Moment Matching for Stochastic Image EPDiff
Models of stochastic image deformation allow study of time-continuous stochastic effects transforming images by deforming the image domain....
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The Variational Approach to the Flow of Sobolev-Diffeomorphisms Model
The flow of diffeomorphisms, aka LDDMM, is a framework to define a group G of diffeomorphisms of chosen regularity with a Riemannian structure. If...
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Unsupervised Learning of Diffeomorphic Image Registration via TransMorph
In this work, we propose a learning-based framework for unsupervised and end-to-end learning of diffeomorphic image registration. Specifically, the...
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Multi-atlas subcortical segmentation: an orchestration of 3D fully convolutional network and generalized mixture function
To accurately segment subcortical structures and therefore profit for numerous neuroimaging applications, we proposed a multi-atlas subcortical...
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Metamorphic Image Registration Using a Semi-lagrangian Scheme
In this paper, we propose an implementation of both Large Deformation Diffeomorphic Metric Map** (LDDMM) and Metamorphosis image registration using...
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Diffeomorphic Registration with Density Changes for the Analysis of Imbalanced Shapes
This paper introduces an extension of diffeomorphic registration to enable the morphological analysis of data structures with inherent density...
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NeurEPDiff: Neural Operators to Predict Geodesics in Deformation Spaces
This paper presents NeurEPDiff, a novel network to fast predict the geodesics in deformation spaces generated by a well known Euler-Poincaré...
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Diffeomorphic matching with multiscale kernels based on sparse parameterization for cross-view target detection
We present a novel, robust target detection method to locate a target from a reference image (UAV image) according to a target image (remote sensing...
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Partial Matching in the Space of Varifolds
In computer vision and medical imaging, the problem of matching structures finds numerous applications from automatic annotation to data...
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A robust combined weighted label fusion in multi-atlas pancreas segmentation
Multi-atlas segmentation frameworks have proved to be a top-method as its good performance in medical image segmentation, which mainly consists of...
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Applying Quadratic Penalty Method for Intensity-Based Deformable Image Registration on BraTS-Reg Challenge 2022
Registration of Magnetic Resonance Imaging (MRI) scans containing pathologies is challenging due to tissue appearance changes, and still an unsolved...
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MetaRegNet: Metamorphic Image Registration Using Flow-Driven Residual Networks
Deep learning based methods provide efficient solutions to medical image registration, including the challenging problem of diffeomorphic image...
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Weighted Metamorphosis for Registration of Images with Different Topologies
We present an extension of the Metamorphosis algorithm to align images with different topologies and/or appearances. We propose to restrict/limit the...
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Elastic Shape Analysis of Surfaces with Second-Order Sobolev Metrics: A Comprehensive Numerical Framework
This paper introduces a set of numerical methods for Riemannian shape analysis of 3D surfaces within the setting of invariant (elastic) second-order...
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A Method for Image Registration via Broken Geodesics
Anatomical variabilities seen in longitudinal data or inter-subject data is usually described by the underlying deformation, captured by non-rigid...
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Landmark-Free Statistical Shape Modeling Via Neural Flow Deformations
Statistical shape modeling aims at capturing shape variations of an anatomical structure that occur within a given population. Shape models are...