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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://github.com/miraclefactory/on-the-fly-guidance

공식 코드

On-the-Fly Guidance Training for Medical Image Registration

https://github.com/mirthAI/RetinaRegNet

공식 코드

RetinaRegNet: A Zero-Shot Approach for Retinal Image Registration

https://github.com/mohamedasuliman/geomorph

공식 코드

Unsupervised Multimodal Surface Registration with Geometric Deep Learning

https://github.com/multimodallearning/convexadam

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Fast 3D registration with accurate optimisation and little learning for Learn2Reg 2021

https://github.com/multimodallearning/deep-geo-reg

공식 코드

Deep learning based geometric registration for medical images: How accurate can we get without visual features?

https://github.com/multimodallearning/dg-tta

공식 코드

DG-TTA: Out-of-domain Medical Image Segmentation through Augmentation and Descriptor-driven Domain Generalization and Test-Time Adaptation

https://github.com/multimodallearning/pdd_net

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Closing the Gap between Deep and Conventional Image Registration using Probabilistic Dense Displacement Networks

https://github.com/multimodallearning/registration-da-mean-teacher

공식 코드

Adapting the Mean Teacher for keypoint-based lung registration under geometric domain shifts

https://github.com/mungomeng/registration-aan

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Enhancing Medical Image Registration via Appearance Adjustment Networks

https://github.com/mungomeng/registration-autofuse

공식 코드

AutoFuse: Automatic Fusion Networks for Deformable Medical Image Registration

https://github.com/mungomeng/registration-corrmlp

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Correlation-aware Coarse-to-fine MLPs for Deformable Medical Image Registration

https://github.com/mungomeng/registration-nice-net

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Non-iterative Coarse-to-fine Registration based on Single-pass Deep Cumulative Learning

https://github.com/mungomeng/registration-nice-trans

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Non-iterative Coarse-to-fine Transformer Networks for Joint Affine and Deformable Image Registration

https://github.com/mwod/autoimplant_2021

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Deep Learning-based Framework for Automatic Cranial Defect Reconstruction and Implant Modeling

https://github.com/nadeemlab/Physics-ArX

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RMSim: Controlled Respiratory Motion Simulation on Static Patient Scans

https://github.com/nadeemlab/seqx2y

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RMSim: Controlled Respiratory Motion Simulation on Static Patient Scans

https://github.com/nanyomy/cmmas

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Cross-Modality Multi-Atlas Segmentation via Deep Registration and Label Fusion

https://github.com/neel-dey/Atlas-GAN

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Generative Adversarial Registration for Improved Conditional Deformable Templates

https://github.com/nellie689/tlrn

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TLRN: Temporal Latent Residual Networks For Large Deformation Image Registration

https://github.com/neuroinformatics-unit/zebras-stitching

공식 코드

Tracking the Flight: Exploring a Computational Framework for Analyzing Escape Responses in Plains Zebra (Equus quagga)

https://github.com/neuropoly/pediatric-dl-registration

공식 코드

Impact of Initialization on Intra-subject Pediatric Brain MR Image Registration: A Comparative Analysis between SyN ANTs and Deep Learning-Based Approaches

https://github.com/ngunnar/latent-linear-dynamics-in-spatiotemporal-medical-data

공식 코드

Unsupervised dynamic modeling of medical image transformation

https://github.com/ngunnar/med-dyn-reg

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Unsupervised dynamic modeling of medical image transformation

https://github.com/nie-lang/udis2

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Parallax-Tolerant Unsupervised Deep Image Stitching

https://github.com/nimamasoumi/diffeoraptor

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DiffeoRaptor: Diffeomorphic Inter-modal Image Registration using RaPTOR

https://github.com/ninjannn/llm-morph

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Large Language Models for Multimodal Deformable Image Registration

https://github.com/odlgroup/odl

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Indirect Image Registration with Large Diffeomorphic Deformations

https://github.com/ouyangzhibo/HiQ-Robust-and-Fast-Decoding-of-High-Capacity-Color-QR-Codes

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Robust and Fast Decoding of High-Capacity Color QR Codes for Mobile Applications

https://github.com/ozerlabs-proxy/VisIrNet

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VisIRNet: Deep Image Alignment for UAV-taken Visible and Infrared Image Pairs

https://github.com/plan-lab/chexrelnet

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CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships between Chest X-Rays

https://github.com/pohl-michel/Lucas-Kanade-pyramidal-optical-flow-for-3D-image-sequences

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Prediction of the motion of chest internal points using a recurrent neural network trained with real-time recurrent learning for latency compensation in lung cancer radiotherapy

https://github.com/promise13/fm_sam

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Improving Generalization of Medical Image Registration Foundation Model

https://github.com/qianyeyang/mpmrireg

공식 코드

Cross-Modality Image Registration using a Training-Time Privileged Third Modality

https://github.com/rfonod/geo-trax

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Advanced computer vision for extracting georeferenced vehicle trajectories from drone imagery

https://github.com/riddhishb/self-supervised-landmarks

공식 코드

Leveraging Unsupervised Image Registration for Discovery of Landmark Shape Descriptor

https://github.com/rkwitt/quicksilver

공식 코드

Quicksilver: Fast Predictive Image Registration - a Deep Learning Approach

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