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Image Registration

54 papers with code · Computer Vision

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Unsupervised Deep Learning for Bayesian Brain MRI Segmentation

25 Apr 2019voxelmorph/voxelmorph

To develop a deep learning-based segmentation model for a new image dataset (e. g., of different contrast), one usually needs to create a new labeled training dataset, which can be prohibitively expensive, or rely on suboptimal ad hoc adaptation or augmentation approaches.

BRAIN IMAGE SEGMENTATION BRAIN SEGMENTATION FEW-SHOT SEMANTIC SEGMENTATION IMAGE REGISTRATION ZERO SHOT SEGMENTATION

Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces

8 Mar 2019voxelmorph/voxelmorph

We present a probabilistic generative model and derive an unsupervised learning-based inference algorithm that uses insights from classical registration methods and makes use of recent developments in convolutional neural networks (CNNs).

CONSTRAINED DIFFEOMORPHIC IMAGE REGISTRATION DEFORMABLE MEDICAL IMAGE REGISTRATION DIFFEOMORPHIC MEDICAL IMAGE REGISTRATION IMAGE REGISTRATION

VoxelMorph: A Learning Framework for Deformable Medical Image Registration

14 Sep 2018voxelmorph/voxelmorph

In contrast to this approach, and building on recent learning-based methods, we formulate registration as a function that maps an input image pair to a deformation field that aligns these images.

DEFORMABLE MEDICAL IMAGE REGISTRATION DIFFEOMORPHIC MEDICAL IMAGE REGISTRATION IMAGE REGISTRATION

An Unsupervised Learning Model for Deformable Medical Image Registration

CVPR 2018 voxelmorph/voxelmorph

We define registration as a parametric function, and optimize its parameters given a set of images from a collection of interest.

DEFORMABLE MEDICAL IMAGE REGISTRATION IMAGE REGISTRATION MEDICAL IMAGE REGISTRATION

Symmetric diffeomorphic image registration with cross-correlation: evaluating automated labeling of elderly and neurodegenerative brain

Medical Image Analysis 2008 ANTsX/ANTs

This comparison shows that, of the three methods tested, SyN's volume measurements are the most strongly correlated with volume measurements gained by expert labeling.

BIRL DIFFEOMORPHIC MEDICAL IMAGE REGISTRATION IMAGE REGISTRATION

Closing the Gap between Deep and Conventional Image Registration using Probabilistic Dense Displacement Networks

25 Jul 2019JunMa11/MICCAI2019-OpenSourcePapers

Nonlinear image registration continues to be a fundamentally important tool in medical image analysis.

IMAGE REGISTRATION

AirLab: Autograd Image Registration Laboratory

26 Jun 2018airlab-unibas/airlab

With the "Autograd Image Registration Laboratory" (AIRLab), we introduce an open laboratory for image registration tasks, where the analytic gradients of the objective function are computed automatically and the device where the computations are performed, on a CPU or a GPU, is transparent.

IMAGE REGISTRATION MEDICAL IMAGE REGISTRATION

Recursive Cascaded Networks for Unsupervised Medical Image Registration

ICCV 2019 microsoft/Recursive-Cascaded-Networks

We present recursive cascaded networks, a general architecture that enables learning deep cascades, for deformable image registration.

IMAGE REGISTRATION MEDICAL IMAGE REGISTRATION

HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery

15 Feb 2020ElementAI/HighRes-net

Multi-frame Super-Resolution (MFSR) offers a more grounded approach to the ill-posed problem, by conditioning on multiple low-resolution views.

DE-ALIASING IMAGE REGISTRATION MULTI-FRAME SUPER-RESOLUTION