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/jw4hv/deepflash

공식 코드

DeepFLASH: An Efficient Network for Learning-based Medical Image Registration

https://github.com/kadircenk/WardMTBCuda

공식 코드

Accelerating Translational Image Registration for HDR Images on GPU

https://github.com/kamruleee51/ddc-ac-dlir

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Multi-scale, Data-driven and Anatomically Constrained Deep Learning Image Registration for Adult and Fetal Echocardiography

https://github.com/kangmiao15/dual-stream-prnet-plus

공식 코드

Dual-Stream Pyramid Registration Network

https://github.com/khaledkhairy/EM_aligner

공식 코드

Joint Deformable Registration of Large EM Image Volumes: A Matrix Solver Approach

https://github.com/kheil-z/imitate

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IMITATE: Image Registration with Context for unknown time frame recovery

https://github.com/kid-liet/imse

공식 코드

Indescribable Multi-modal Spatial Evaluator

https://github.com/kornia/kornia

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Kornia: an Open Source Differentiable Computer Vision Library for PyTorch

https://github.com/lab-midas/gmaraft

공식 코드

Attention-aware non-rigid image registration for accelerated MR imaging

https://github.com/lancial/orrn_public

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ORRN: An ODE-based Recursive Registration Network for Deformable Respiratory Motion Estimation with Lung 4DCT Images

https://github.com/laplcebeltrami/sulcaltree

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Sulcal Pattern Matching with the Wasserstein Distance

https://github.com/leonardsiegert/PULPo

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PULPo: Probabilistic Unsupervised Laplacian Pyramid Registration

https://github.com/louelin/quiz

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QUIZ: An Arbitrary Volumetric Point Matching Method for Medical Image Registration

https://github.com/louisvh/cycle_consistent_inr

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Robust deformable image registration using cycle-consistent implicit representations

https://github.com/ltracegeo/deep-mineralogical-segmentation

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Deep mineralogical segmentation of thin section images based on QEMSCAN maps

https://github.com/lucasmansilla/ACRN_Chest_X-ray_IA

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Learning Deformable Registration of Medical Images with Anatomical Constraints

https://github.com/lucasmansilla/NIH_chest_xray14_segmentations

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Learning Deformable Registration of Medical Images with Anatomical Constraints

https://github.com/lyp-deeplearning/awesome-retinal-registration

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Progressive Retinal Image Registration via Global and Local Deformable Transformations

https://github.com/m-dannecker/cinema

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CINeMA: Conditional Implicit Neural Multi-Modal Atlas for a Spatio-Temporal Representation of the Perinatal Brain

https://github.com/m1nhengchen/sopi

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Embedded Feature Similarity Optimization with Specific Parameter Initialization for 2D/3D Medical Image Registration

https://github.com/marcusvaltonen/HomLib

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Efficient Real-Time Radial Distortion Correction for UAVs

https://github.com/masilab/influence_of_fusion_on_pancreas_segmentation

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Influence of Early through Late Fusion on Pancreas Segmentation from Imperfectly Registered Multimodal MRI

https://github.com/matheozihaowang/air_transformer_image_registration

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Attention for Image Registration (AiR): an unsupervised Transformer approach

https://github.com/mathildefaanes/us_brain_tumor_segmentation

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Automatic brain tumor segmentation in 2D intra-operative ultrasound images using MRI tumor annotations

https://github.com/mattiaspaul/voxelmorphplusplus

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Voxelmorph++ Going beyond the cranial vault with keypoint supervision and multi-channel instance optimisation

https://github.com/mattkia/SGDIR

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Learning Diffeomorphism for Image Registration with Time-Continuous Networks using Semigroup Regularization

https://github.com/mazurowski-lab/foundation-based-reg

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Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration?

https://github.com/mdw771/probe_position_correction_w_ptychonn

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Predicting ptychography probe positions using single-shot phase retrieval neural network

https://github.com/meclabtuda/atlas-replay

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Continual atlas-based segmentation of prostate MRI

https://github.com/medvic-lab/efficient_morph_registration

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EfficientMorph: Parameter-Efficient Transformer-Based Architecture for 3D Image Registration

https://github.com/meenakshi23/log-conformal-maps

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LCM: Log Conformal Maps for Robust Representation Learning to Mitigate Perspective Distortion

https://github.com/mengli-l1/strokeextraction

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Stroke Extraction of Chinese Character Based on Deep Structure Deformable Image Registration

https://github.com/metaslam/alto

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ALTO: A Large-Scale Dataset for UAV Visual Place Recognition and Localization

https://github.com/michaelschwier/QIN-PROSTATE-Repeatability-Radiomics

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Repeatability of Multiparametric Prostate MRI Radiomics Features

https://github.com/microsoft/Recursive-Cascaded-Networks

공식 코드

Unsupervised 3D End-to-End Medical Image Registration with Volume Tweening Network

https://github.com/mingr-ma/rfr-wwanet

공식 코드

RFR-WWANet: Weighted Window Attention-Based Recovery Feature Resolution Network for Unsupervised Image Registration

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.