Yooseung Shin

DyMix: Dynamic frequency Mixup scheduler based unsupervised domain adaptation for enhancing Alzheimer’s disease prediction

Kwanseok Oh, Yooseung Shin, Heung‐Il Suk

Recent advances in deep learning (DL) have substantially improved the accuracy of Alzheimer’s disease (AD) diagnosis from brain images, enabling earlier and more reliable clinical interventions. Nevertheless, most DL-based models often suffer from significant performance degradation when applied to unseen domains owing …

kr (code pays fourni par la source)

FIESTA: Fourier-Based Semantic Augmentation With Uncertainty Guidance for Enhanced Domain Generalizability in Medical Image Segmentation

Kwanseok Oh, Eunjin Jeon, Da-Woon Heo, Yooseung Shin et autres

Single-source domain generalization (SDG) in medical image segmentation (MIS) aims to generalize a model using only one source domain data to segment data from an unseen target domain. Despite substantial advances in SDG with data augmentation, existing methods often fail to fully …

kr (code pays fourni par la source)

Domain Generalization for Medical Image Analysis: A Review

Jee Seok Yoon, Kwanseok Oh, Yooseung Shin, Maciej A. Mazurowski et autres

Medical image analysis (MedIA) has become an essential tool in medicine and healthcare, aiding in disease diagnosis, prognosis, and treatment planning, and recent successes in deep learning (DL) have made significant contributions to its advances. However, deploying DL models for MedIA in …

kr, us (code pays fourni par la source)

FIESTA: Fourier-Based Semantic Augmentation with Uncertainty Guidance for Enhanced Domain Generalizability in Medical Image Segmentation

Kwanseok Oh, Eunjin Jeon, Da-Woon Heo, Yooseung Shin et autres

Single-source domain generalization (SDG) in medical image segmentation (MIS) aims to generalize a model using data from only one source domain to segment data from an unseen target domain. Despite substantial advances in SDG with data augmentation, existing methods often fail to …

Domain Generalization for Medical Image Analysis: A Review

Jee Seok Yoon, Kwanseok Oh, Yooseung Shin, Maciej A. Mazurowski et autres

Medical image analysis (MedIA) has become an essential tool in medicine and healthcare, aiding in disease diagnosis, prognosis, and treatment planning, and recent successes in deep learning (DL) have made significant contributions to its advances. However, deploying DL models for MedIA in …

Frequency Mixup Manipulation Based Unsupervised Domain Adaptation for Brain Disease Identification

Yooseung Shin, Junyeong Maeng, Kwanseok Oh, Heung‐Il Suk

kr (code pays fourni par la source)