https://github.com/chongchenmath/odl_lddmm
공식 코드Indirect Image Registration with Large Diffeomorphic Deformations
Papers with Code 아카이브
Image Registration
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 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/chrissyinreallife/kneesegmentwithsam
공식 코드Segmentation by registration-enabled SAM prompt engineering using five reference images
https://github.com/cilix-ai/on-the-fly-guidance
공식 코드https://github.com/cistib/DDIR
공식 코드https://github.com/cjsorange/dmr-deformer
공식 코드Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration
https://github.com/cogsys-tuebingen/cp_eval
공식 코드Comprehensive Analysis of the Object Detection Pipeline on UAVs
https://github.com/compai-lab/2024-miccai-reithmeir
공식 코드Data-Driven Tissue- and Subject-Specific Elastic Regularization for Medical Image Registration
https://github.com/cq615/bigm-motion-tracking
공식 코드Generative Myocardial Motion Tracking via Latent Space Exploration with Biomechanics-informed Prior
https://github.com/crai-ous/muster
공식 코드MUSTER: Longitudinal Deformable Registration by Composition of Consecutive Deformations
https://github.com/cwmok/C2FViT
공식 코드Affine Medical Image Registration with Coarse-to-Fine Vision Transformer
https://github.com/cwmok/Conditional_LapIRN
공식 코드Conditional Deformable Image Registration with Convolutional Neural Network
https://github.com/cwmok/Fast-Symmetric-Diffeomorphic-Image-Registration-with-Convolutional-Neural-Networks
공식 코드Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural Networks
https://github.com/cwmok/LapIRN
공식 코드Large Deformation Diffeomorphic Image Registration with Laplacian Pyramid Networks
https://github.com/cwmok/dirac
공식 코드https://github.com/dae-plz/cfssegnet
공식 코드A Category-Fragment Segmentation Framework for Pelvic Fracture Segmentation in X-ray Images
https://github.com/daniel-unyi-42/neurodevelopmental-phenotype-prediction
공식 코드Neurodevelopmental Phenotype Prediction: A State-of-the-Art Deep Learning Model
https://github.com/dddraxxx/Medical-Volume-Preserving-Reg
공식 코드Preserving Tumor Volumes for Unsupervised Medical Image Registration
https://github.com/deep-mi/hipsta
공식 코드An automated, geometry-based method for hippocampal shape and thickness analysis
https://github.com/deshanyang/abdominal-dir-qa
공식 코드https://github.com/dgrzech/ir-sgmcmc
공식 코드https://github.com/dut-media-lab/MultiPropReg
공식 코드https://github.com/dykuang/Medical-image-registration
공식 코드FAIM -- A ConvNet Method for Unsupervised 3D Medical Image Registration
https://github.com/easonyesheng/ccs
공식 코드https://github.com/eigenvivek/diffpose
공식 코드Intraoperative 2D/3D Image Registration via Differentiable X-ray Rendering
https://github.com/emorymlip/pyhysco
공식 코드PyHySCO: GPU-Enabled Susceptibility Artifact Distortion Correction in Seconds
https://github.com/erasdna/grom
공식 코드Geometry Reduced Order Modeling (GROM) with application to modeling of glymphatic function
https://github.com/eric-stumpe/plant3dimagereg
공식 코드https://github.com/erneternet/ernet
공식 코드ERNet: Unsupervised Collective Extraction and Registration in Neuroimaging Data
https://github.com/evanmy/keymorph
공식 코드A Robust and Interpretable Deep Learning Framework for Multi-modal Registration via Keypoints
https://github.com/eyalhana/pcmc-t1
공식 코드PCMC-T1: Free-breathing myocardial T1 mapping with Physically-Constrained Motion Correction
https://github.com/fau-lms/fast-occlusion-detection
공식 코드Fast Edge-Aware Occlusion Detection in the Context of Multispectral Camera Arrays
https://github.com/fau-lms/msir
공식 코드https://github.com/fsahli/warppinn
공식 코드WarpPINN: Cine-MR image registration with physics-informed neural networks
https://github.com/gaodengfan/msmorph
공식 코드MsMorph: An Unsupervised pyramid learning network for brain image registration
https://github.com/gradirn/gradirn
공식 코드Embedding Gradient-based Optimization in Image Registration Networks
https://github.com/guo-stone/mambamorph
공식 코드MambaMorph: a Mamba-based Framework for Medical MR-CT Deformable Registration
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.