Papers Image Registration
“Image Registration” 태그가 달린 논문 1,041편 · 필터 해제
Hough-SIFT: Robust Image Registration for Linear Structures via Hough Space
Image registration is essential in applications such as electronic image stabilization. Scale-Invariant Feature Transform (SIFT), a widely used local keypoint detector and descriptor, typically provides accurate registra…
Image RegistrationRBE-Flow: Recurrent Bayesian Estimation on Feature Manifolds for Cross-Modal Registration
Cross-modal image registration is essential for multi-sensor perception but remains fundamentally challenging due to severe non-linear radiometric discrepancies and geometric distortions. Existing deterministic matching …
Image RegistrationProjection-based coupling of infrared thermography and stereocorrelation-based digital image correlation
Full-field measurement techniques such as digital image correlation and infrared thermography are prevalent in experimental solid mechanics. Digital image correlation is used to analyze surface deformation, while infrare…
Image Registration++nnU-Net: Scaling nnU-Net with Prefix-Based Data Augmentation
The nnU-Net has demonstrated continuous success in medical segmentation tasks, which heavily rely on the availability and diversity of annotated biomedical data. However, assembling medical imaging cohorts remains challe…
Image RegistrationData AugmentationA practical probabilistic framework for deformable image registration uncertainty in radiotherapy dose propagation
Deformable image registration (DIR) is widely used in radiotherapy for dose propagation and accumulation, but uncertainty in the underlying deformation can substantially affect clinically relevant dose estimates. We pres…
Image RegistrationCross-Modality Feature Fusion Based on Structured State Space Duality for Multimodal Image Registration Network
In multi-modal image registration, the primary challenge lies in shared structural information extraction. Compared to Transformers, Structured State Space Duality (SSD) offers greater global structural feature extractio…
Information ExtractionImage RegistrationSAMatcher: Co-Visibility Modeling with Segment Anything for Robust Feature Matching
Reliable correspondence estimation is a fundamental problem in image processing, underpinning applications such as Structure from Motion, visual localization, and image registration. Existing learning-based methods have …
Representation LearningVisual LocalizationImage RegistrationImage MatchingResolution-free neural surrogates for geometric parameterization and mapping with spatially varying fields
Many imaging problems require computing spatial transformations induced by spatially varying intensity, feature, or density fields. Canonical examples include distortion correction, deformable image registration, atlas-b…
Image RegistrationGenerative Deep Learning for Computational Destaining and Restaining of Unregistered Digital Pathology Images
Conditional generative adversarial networks (cGANs) have enabled high-fidelity computational staining and destaining of hematoxylin and eosin (H&E) in digital pathology whole-slide images (WSI). However, their ability to…
Image RegistrationDomain AdaptationBayesian In Vivo Tracking of Synapses using Joint Poisson Deconvolution and Diffeomorphic Registration
Synapses are densely packed submicron structures that dynamically reorganize during learning and memory formation. Longitudinal \textit{in vivo} imaging of fluorescently tagged synaptic receptors offers a promising oppor…
Image RegistrationCVEvolve: Autonomous Algorithm Discovery for Unstructured Scientific Data Processing
Scientific data processing often requires task-specific algorithms or AI models, creating a barrier for domain scientists who need to analyze their data but may not have extensive computing or image-processing expertise.…
Image RegistrationImage SegmentationTAR: Text Semantic Assisted Cross-modal Image Registration Framework for Optical and SAR Images
Existing deep learning-based methods can capture shared features from optical and synthetic aperture radar (SAR) images for spatial alignment. However, optical-SAR registration remains challenging under large geometric d…
Image RegistrationA Multimodal Clinically Informed Coarse-to-Fine Framework for Longitudinal CT Registration in Proton Therapy
Proton therapy offers superior organ-at-risk sparing but is highly sensitive to anatomical changes, making accurate deformable image registration (DIR) across longitudinal CT scans essential. Conventional DIR methods are…
Image RegistrationDoseRAD2026 Challenge dataset: AI accelerated photon and proton dose calculation for radiotherapy
Purpose: Accurate dose calculation is essential in radiotherapy for precise tumor irradiation while sparing healthy tissue. With the growing adoption of MRI-guided and real-time adaptive radiotherapy, fast and accurate d…
Image RegistrationA Comparison of Multi-View Stereo Methods for Photogrammetric 3D Reconstruction: From Traditional to Learning-Based Approaches
Photogrammetric 3D reconstruction has long relied on traditional Structure-from-Motion (SfM) and Multi-View Stereo (MVS) methods, which provide high accuracy but face challenges in speed and scalability. Recently, learni…
Image Registration3D ReconstructionPoint CloudsRotation Equivariant Convolutions in Deformable Registration of Brain MRI
Image registration is a fundamental task that aligns anatomical structures between images. While CNNs perform well, they lack rotation equivariance - a rotated input does not produce a correspondingly rotated output. Thi…
Image RegistrationCRFT: Consistent-Recurrent Feature Flow Transformer for Cross-Modal Image Registration
We present Consistent-Recurrent Feature Flow Transformer (CRFT), a unified coarse-to-fine framework based on feature flow learning for robust cross-modal image registration. CRFT learns a modality-independent feature flo…
Image RegistrationSpatial ReasoningAutomated Prostate Gland Segmentation in MRI Using nnU-Net
Accurate segmentation of the prostate gland in multiparametric MRI (mpMRI) is a fundamental step for a wide range of clinical and research applications, including image registration, volume estimation, and radiomic analy…
Image RegistrationAdapting Frozen Mono-modal Backbones for Multi-modal Registration via Contrast-Agnostic Instance Optimization
Deformable image registration remains a central challenge in medical image analysis, particularly under multi-modal scenarios where intensity distributions vary significantly across scans. While deep learning methods pro…
Image RegistrationStyle TransferCycle Inverse-Consistent TransMorph: A Balanced Deep Learning Framework for Brain MRI Registration
Deformable image registration plays a fundamental role in medical image analysis by enabling spatial alignment of anatomical structures across subjects. While recent deep learning-based approaches have significantly impr…
Computational EfficiencyImage Registration