https://github.com/code-implementation1/Code1/tree/main/dnet_nas
D-Net: Siamese based Network with Mutual Attention for Volume Alignment
Papers with Code 아카이브
Image Registration
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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/cq615/Biomechanics-informed-motion-tracking
Biomechanics-informed Neural Networks for Myocardial Motion Tracking in MRI
https://github.com/echonax07/Data_augmentation
https://github.com/eigenvivek/diffdrr
Intraoperative 2D/3D Image Registration via Differentiable X-ray Rendering
https://github.com/farrell236/SVRnet
Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion
https://github.com/febert/neuralproposal_cem_classproject
Robustness via Retrying: Closed-Loop Robotic Manipulation with Self-Supervised Learning
https://github.com/febert/robustness_via_retrying
Robustness via Retrying: Closed-Loop Robotic Manipulation with Self-Supervised Learning
https://github.com/fjr9516/dbm_with_dl
Generative Adversarial Registration for Improved Conditional Deformable Templates
https://github.com/giulia-berto/app-extract-peaks
TractSeg - Fast and accurate white matter tract segmentation
https://github.com/ivan-jgr/recursive-cascaded-networks
Recursive Cascaded Networks for Unsupervised Medical Image Registration
https://github.com/jelleman8/TractSeg
TractSeg - Fast and accurate white matter tract segmentation
https://github.com/jhu-medimage-reg/lumir_l2r
Beyond the LUMIR challenge: The pathway to foundational registration models
https://github.com/jw4hv/geo-sic
VoxelMorph: A Learning Framework for Deformable Medical Image Registration
https://github.com/khj250276857/FCN-registration
Non-rigid image registration using fully convolutional networks with deep self-supervision
https://github.com/kornia/kornia/blob/master/kornia/feature/siftdesc.py
https://github.com/lajipeng/Recursive-Cascaded-Networks-master
VoxelMorph: A Learning Framework for Deformable Medical Image Registration
https://github.com/manyids2/kornia
Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
https://github.com/moabarar/nemar
Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation
https://github.com/multimodallearning/Lung250M-4B
https://github.com/multimodallearning/flownet_pytorch
https://github.com/nbouteldja/kidneystaintranslation
Comparison of Consecutive and Re-stained Sections for Image Registration in Histopathology
https://github.com/nicolas1805961/GE_Reinforcement_Learning_Image_Registration
https://github.com/nihargupte/reverseknowledgedistillation
Semi-Supervised Keypoint Detector and Descriptor for Retinal Image Matching
https://github.com/olddriverjinx/reimplemention-of-dual-prnet
VoxelMorph: A Learning Framework for Deformable Medical Image Registration
https://github.com/pksvision/Deep-WaveNet-Underwater-Image-Restoration
Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
https://github.com/shijiwensjw/vp_based_control
Robustness via Retrying: Closed-Loop Robotic Manipulation with Self-Supervised Learning
https://github.com/simeks/deform
Fast Graph-Cut Based Optimization for Practical Dense Deformable Registration of Volume Images
https://github.com/tarolangner/mri-biometry
Fast Graph-Cut Based Optimization for Practical Dense Deformable Registration of Volume Images
https://github.com/timH6502/MultiStepConsistent-LUMIRReg
Inverse Consistency by Construction for Multistep Deep Registration
https://github.com/tinymilky/NeRD
https://github.com/uncbiag/DeepAtlas
DeepAtlas: Joint Semi-Supervised Learning of Image Registration and Segmentation
https://github.com/uncbiag/InverseConsistency
$\texttt{GradICON}$: Approximate Diffeomorphisms via Gradient Inverse Consistency
https://github.com/uncbiag/OAI_analysis
Networks for Joint Affine and Non-parametric Image Registration
https://github.com/v715/DiffDRR
Intraoperative 2D/3D Image Registration via Differentiable X-ray Rendering
https://github.com/vigsivan/NeurReg_Pytorch
NeurReg: Neural Registration and Its Application to Image Segmentation
https://github.com/vlfeat/vlfeat
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.