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://bitbucket.org/malmy002/phasereg

공식 코드

Phase retrieval via non-rigid image registration

https://bitbucket.org/stefansommer/stochlandyn

공식 코드

A Geometric Framework for Stochastic Shape Analysis

https://github.com/6zrg/quantitative-statistics-of-fccm

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Innovative Quantitative Analysis for Disease Progression Assessment in Familial Cerebral Cavernous Malformations

https://github.com/Algolzw/SPAC-Deformable-Registration

공식 코드

Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration

https://github.com/Alison-brie/MultiPropReg

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Learning Deformable Image Registration from Optimization: Perspective, Modules, Bilevel Training and Beyond

https://github.com/BBillot/SynthSR

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Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast

https://github.com/BengaliAI/bbocr

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bbOCR: An Open-source Multi-domain OCR Pipeline for Bengali Documents

https://github.com/BioMedIA/IRTK

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An Adversarial Approach to Register Extreme Resolution Tissue Cleared 3D Brain Images

https://github.com/CIG-UCL/eddeep

공식 코드

Eddeep: Fast eddy-current distortion correction for diffusion MRI with deep learning

https://github.com/CIG-UCL/polaffini

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POLAFFINI: Efficient feature-based polyaffine initialization for improved non-linear image registration

https://github.com/CherBass/ICAM

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ICAM-reg: Interpretable Classification and Regression with Feature Attribution for Mapping Neurological Phenotypes in Individual Scans

https://github.com/DIAL-RPI/Attention-Reg

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Cross-modal Attention for MRI and Ultrasound Volume Registration

https://github.com/DeepRegNet/DeepReg

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DeepReg: a deep learning toolkit for medical image registration

https://github.com/DeepTag/cardiac_tagging_motion_estimation

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DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images

https://github.com/ElementAI/HighRes-net

공식 코드

HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery

https://github.com/KrishnaswamyLab/DiffKillR

공식 코드

DiffKillR: Killing and Recreating Diffeomorphisms for Cell Annotation in Dense Microscopy Images

https://github.com/LoicPeter/evaluation-deformable-registration

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Uncertainty-Aware Annotation Protocol to Evaluate Deformable Registration Algorithms

https://github.com/Lydorn/netsimilarity

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Input Similarity from the Neural Network Perspective

https://github.com/MECLabTUDA/NCA-Morph

공식 코드

NCA-Morph: Medical Image Registration with Neural Cellular Automata

https://github.com/MIC-DKFZ/TractSeg

공식 코드

TractSeg - Fast and accurate white matter tract segmentation

https://github.com/MIDA-group/MultiRegEval

공식 코드

Is Image-to-Image Translation the Panacea for Multimodal Image Registration? A Comparative Study

https://github.com/MIDA-group/inspire

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INSPIRE: Intensity and spatial information-based deformable image registration

https://github.com/MIDA-group/itkAlphaAMD

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Fast and Robust Symmetric Image Registration Based on Distances Combining Intensity and Spatial Information

https://github.com/MIDA-group/py_alpha_amd_release

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Fast and Robust Symmetric Image Registration Based on Distances Combining Intensity and Spatial Information

https://github.com/MingR-Ma/SymTrans

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Symmetric Transformer-based Network for Unsupervised Image Registration

https://github.com/MungoMeng/Image-Registration-AAN

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Enhancing Medical Image Registration via Appearance Adjustment Networks

https://github.com/Noodles-321/Registration

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Is Image-to-Image Translation the Panacea for Multimodal Image Registration? A Comparative Study

https://github.com/Novestars/Recursive_Refinement_Network

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Recursive Refinement Network for Deformable Lung Registration between Exhale and Inhale CT Scans

https://github.com/PruneTruong/GLAMpoints_pytorch

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GLAMpoints: Greedily Learned Accurate Match points

https://github.com/RayShark0605/On_the_fly_SfM

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On-the-Fly SfM: What you capture is What you get

https://github.com/SaharAlmahfouzNasser/MeDAL-Retina

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Reverse Knowledge Distillation: Training a Large Model using a Small One for Retinal Image Matching on Limited Data

https://github.com/SteffenCzolbe/DeepSimRegistration

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Semantic similarity metrics for learned image registration

https://github.com/Stochastik-TU-Ilmenau/image-template-resolution

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Quantifying the Resolution of a Template after Image Registration

https://github.com/TheoEst/abdominal_registration

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Deep learning based registration using spatial gradients and noisy segmentation labels

https://github.com/TheoEst/hippocampus_registration

공식 코드

Deep learning based registration using spatial gradients and noisy segmentation labels

https://github.com/ToFec/OneShotImageRegistration

공식 코드

One Shot Learning for Deformable Medical Image Registration and Periodic Motion Tracking

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