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From the 1 of 5 linked papers with an AI index.

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20242026
most citedThe TopCoW Challenge -- Topology-Aware Circle of Willis Segmentation for CT and MR Angiography

12 citations · 12 across the 1 of their papers we have counts for

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5 papers

cs.CV202612 cited

The TopCoW Challenge -- Topology-Aware Circle of Willis Segmentation for CT and MR Angiography

Kaiyuan Yang, Fabio Musio, Yihui Ma +112

The paper introduces the TopCoW Challenge, a benchmark for automatically segmenting the Circle of Willis in CT and MR angiography using deep learning, and provides a new annotated…

cs.LG2025

MEASURE: Multi-scale Minimal Sufficient Representation Learning for Domain Generalization in Sleep Staging

Sangmin Jo, Jee Seok Yoon, Wootaek Jeong +2

Deep learning-based automatic sleep staging has significantly advanced in performance and plays a crucial role in the diagnosis of sleep disorders. However, those models often stru…

eess.IV2024

Domain Generalization for Medical Image Analysis: A Review

Jee Seok Yoon, Kwanseok Oh, Yooseung Shin +2

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…

eess.IV2024

IdenBAT: Disentangled Representation Learning for Identity-Preserved Brain Age Transformation

Junyeong Maeng, Kwanseok Oh, Wonsik Jung +1

Brain age transformation aims to convert reference brain images into synthesized images that accurately reflect the age-specific features of a target age group. The primary objecti…

eess.IV2024

DyMix: Dynamic Frequency Mixup Scheduler based Unsupervised Domain Adaptation for Enhancing Alzheimer's Disease Identification

Yooseung Shin, Kwanseok Oh, Heung-Il Suk

Advances in deep learning (DL)-based models for brain image analysis have significantly enhanced the accuracy of Alzheimer's disease (AD) diagnosis, allowing for more timely interv…