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Image Registration
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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 )
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
fastWDM3D: Fast and Accurate 3D Healthy Tissue Inpainting
Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration?
From Motion to Meaning: Biomechanics-Informed Neural Network for Explainable Cardiovascular Disease Identification
Grid-Reg: Grid-Based SAR and Optical Image Registration Across Platforms
Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network
VoxelOpt: Voxel-Adaptive Message Passing for Discrete Optimization in Deformable Abdominal CT Registration
A Deep Learning Based Method for Fast Registration of Cardiac Magnetic Resonance Images
RealKeyMorph: Keypoints in Real-world Coordinates for Resolution-agnostic Image Registration
Unsupervised Deformable Image Registration with Structural Nonparametric Smoothing
Geometry Reduced Order Modeling (GROM) with application to modeling of glymphatic function
CINeMA: Conditional Implicit Neural Multi-Modal Atlas for a Spatio-Temporal Representation of the Perinatal Brain
Personalized MR-Informed Diffusion Models for 3D PET Image Reconstruction
Implicit Deformable Medical Image Registration with Learnable Kernels
Beyond the LUMIR challenge: The pathway to foundational registration models
Pretraining Deformable Image Registration Networks with Random Images
A Novel Coronary Artery Registration Method Based on Super-pixel Particle Swarm Optimization
MRDust: Wireless Implant Data Uplink & Localization via Magnetic Resonance Image Modulation
Collaborative Learning for Unsupervised Multimodal Remote Sensing Image Registration: Integrating Self-Supervision and MIM-Guided Diffusion-Based Image Translation
Moment kernels: a simple and scalable approach for equivariance to rotations and reflections in deep convolutional networks
To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models
Tracking the Flight: Exploring a Computational Framework for Analyzing Escape Responses in Plains Zebra (Equus quagga)
Deep mineralogical segmentation of thin section images based on QEMSCAN maps
Temporal Differential Fields for 4D Motion Modeling via Image-to-Video Synthesis
IMITATE: Image Registration with Context for unknown time frame recovery
Bi-directional Self-Registration for Misaligned Infrared-Visible Image Fusion
Improving Generalization of Medical Image Registration Foundation Model
FF-PNet: A Pyramid Network Based on Feature and Field for Brain Image Registration
Tetrahedron-Net for Medical Image Registration
Unsupervised Deep Learning-based Keypoint Localization Estimating Descriptor Matching Performance
Unsupervised training of keypoint-agnostic descriptors for flexible retinal image registration
Spectral Bias Correction in PINNs for Myocardial Image Registration of Pathological Data
Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation
Computer-Aided Design of Personalized Occlusal Positioning Splints Using Multimodal 3D Data
SC3EF: A Joint Self-Correlation and Cross-Correspondence Estimation Framework for Visible and Thermal Image Registration
A Category-Fragment Segmentation Framework for Pelvic Fracture Segmentation in X-ray Images
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.