6 papers
Particle Diffusion Matching: Random Walk Correspondence Search for the Alignment of Standard and Ultra-Widefield Fundus Images
Kanggeon Lee, Soochahn Lee, Kyoung Mu Lee
We propose a robust alignment technique for Standard Fundus Images (SFIs) and Ultra-Widefield Fundus Images (UWFIs), which are challenging to align due to differences in scale, app…
Active Diffusion Matching: Score-based Iterative Alignment of Cross-Modal Retinal Images
Kanggeon Lee, Su Jeong Song, Soochahn Lee +1
Objective: The study aims to address the challenge of aligning Standard Fundus Images (SFIs) and Ultra-Widefield Fundus Images (UWFIs), which is difficult due to their substantial…
MatRes: Zero-Shot Test-Time Model Adaptation for Simultaneous Matching and Restoration
Kanggeon Lee, Soochahn Lee, Kyoung Mu Lee
Real-world image pairs often exhibit both severe degradations and large viewpoint changes, making image restoration and geometric matching mutually interfering tasks when treated i…
Auto-regressive transformation for image alignment
Kanggeon Lee, Soochahn Lee, Kyoung Mu Lee
Existing methods for image alignment struggle in cases involving feature-sparse regions, extreme scale and field-of-view differences, and large deformations, often resulting in sub…
Generation of Structurally Realistic Retinal Fundus Images with Diffusion Models
Sojung Go, Younghoon Ji, Sang Jun Park +1
We introduce a new technique for generating retinal fundus images that have anatomically accurate vascular structures, using diffusion models. We generate artery/vein masks to crea…
Generative Residual Attention Network for Disease Detection
Euyoung Kim, Soochahn Lee, Kyoung Mu Lee
Accurate identification and localization of abnormalities from radiology images serve as a critical role in computer-aided diagnosis (CAD) systems. Building a highly generalizable…