Papers with Code 아카이브

Image Registration

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하위 태스크: 2
평가표: 5
보존된 평가 기록: 22

Image registration is the process of transforming different sets of data into one coordinate system. Data may be multiple photographs, data from different sensors, times, depths, or viewpoints. It is used in computer vision, medical imaging, and compiling and analyzing images and data from satellites. Registration is necessary in order to be able to compare or integrate the data obtained from these different measurements.

Source: Image registration | Wikipedia

( Image credit: Kornia )

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/ZAX130/SmileCode

공식 코드

ModeT: Learning Deformable Image Registration via Motion Decomposition Transformer

https://github.com/ZJU-Robotics-Lab/DPCN

공식 코드

Deep Phase Correlation for End-to-End Heterogeneous Sensor Measurements Matching

https://github.com/abnan/DRMIME

공식 코드

DRMIME: Differentiable Mutual Information and Matrix Exponential for Multi-Resolution Image Registration

https://github.com/abnan/ODECME

공식 코드

Ordinary Differential Equation and Complex Matrix Exponential for Multi-resolution Image Registration

https://github.com/ach-1914/ladlenet

공식 코드

LadleNet: A Two-Stage UNet for Infrared Image to Visible Image Translation Guided by Semantic Segmentation

https://github.com/airlab-unibas/airlab

공식 코드

AirLab: Autograd Image Registration Laboratory

https://github.com/aisha-lawal/hyperpredict

공식 코드

HyperPredict: Estimating Hyperparameter Effects for Instance-Specific Regularization in Deformable Image Registration

https://github.com/aktgpt/vq-nnf

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Efficient High-Resolution Template Matching with Vector Quantized Nearest Neighbour Fields

https://github.com/alanqrwang/keymorph

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A Robust and Interpretable Deep Learning Framework for Multi-modal Registration via Keypoints

https://github.com/alibaba-damo-academy/samconvex

공식 코드

SAMConvex: Fast Discrete Optimization for CT Registration using Self-supervised Anatomical Embedding and Correlation Pyramid

https://github.com/alibaba-damo-academy/same

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SAME++: A Self-supervised Anatomical eMbeddings Enhanced medical image registration framework using stable sampling and regularized transformation

https://github.com/alibaba-damo-academy/self-supervised-anatomical-embedding-v2

공식 코드

SAM: Self-supervised Learning of Pixel-wise Anatomical Embeddings in Radiological Images

https://github.com/alison-brie/autoreg

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Automated Learning for Deformable Medical Image Registration by Jointly Optimizing Network Architectures and Objective Functions

https://github.com/andreasmang/claire

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CLAIRE: A distributed-memory solver for constrained large deformation diffeomorphic image registration

https://github.com/annareithmeir/elastic-regularization-hypermorph

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Learning Physics-Inspired Regularization for Medical Image Registration with Hypernetworks

https://github.com/anonymous3214/abn

공식 코드

ABN: Anti-Blur Neural Networks for Multi-Stage Deformable Image Registration

https://github.com/anonymous4545/jers

공식 코드

One-shot Joint Extraction, Registration and Segmentation of Neuroimaging Data

https://github.com/antonfrancois/Demeter_metamorphosis

공식 코드

Metamorphic image registration using a semi-Lagrangian scheme

https://github.com/as-lab/marthi-et-al-2024-nestedmorph-deformable-medical-image-registration

공식 코드

NestedMorph: Enhancing Deformable Medical Image Registration with Nested Attention Mechanisms

https://github.com/ashu1069/MoonMetaSync

공식 코드

MoonMetaSync: Lunar Image Registration Analysis

https://github.com/asindel/artfacepoints

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ArtFacePoints: High-resolution Facial Landmark Detection in Paintings and Prints

https://github.com/bailiangj/rethink-reg

공식 코드

Mamba? Catch The Hype Or Rethink What Really Helps for Image Registration

https://github.com/balakg/voxelmorph

공식 코드

An Unsupervised Learning Model for Deformable Medical Image Registration

https://github.com/bbbbbbzhou/APA2Seg-Net

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Anatomy-guided Multimodal Registration by Learning Segmentation without Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmentation and Registration

https://github.com/bchimagine/DeepPredictiveMotionTracking

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Deep Predictive Motion Tracking in Magnetic Resonance Imaging: Application to Fetal Imaging

https://github.com/biomedia-mira/istn

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Image-and-Spatial Transformer Networks for Structure-Guided Image Registration

https://github.com/bodokaiser/mrtoct-pytorch

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MRI to CT Translation with GANs

https://github.com/bodokaiser/mrtoct-scripts

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MRI to CT Translation with GANs

https://github.com/bodokaiser/mrtoct-tensorflow

공식 코드

MRI to CT Translation with GANs

https://github.com/brainimageanalysis/impregdec

공식 코드

Implicit neural representations for joint decomposition and registration of gene expression images in the marmoset brain

https://github.com/brudfors/coregistration-njtv

공식 코드

Groupwise Multimodal Image Registration using Joint Total Variation

https://github.com/bupt-ai-cz/LLVIP

공식 코드

LLVIP: A Visible-infrared Paired Dataset for Low-light Vision

https://github.com/canyagmur/xpoint

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XPoint: A Self-Supervised Visual-State-Space based Architecture for Multispectral Image Registration

https://github.com/cardio-ai/cmr-phase-detection

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Self-supervised motion descriptor for cardiac phase detection in 4D CMR based on discrete vector field estimations

https://github.com/cgalaz01/aladdin_cmr_la

공식 코드

High-Resolution Maps of Left Atrial Displacements and Strains Estimated with 3D Cine MRI using Online Learning Neural Networks

https://github.com/chaostheproducer/ttt4d

공식 코드

Test Time Training for 4D Medical Image Interpolation

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