<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Sakanghong | MacsLAB</title><link>https://jbnu.macs.or.kr/ko/author/sakanghong/</link><atom:link href="https://jbnu.macs.or.kr/ko/author/sakanghong/index.xml" rel="self" type="application/rss+xml"/><description>Sakanghong</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>ko</language><lastBuildDate>Mon, 01 Jun 2026 00:00:00 +0900</lastBuildDate><image><url>https://jbnu.macs.or.kr/en/author/sakanghong/avatar_hua401624bac359243bb5b58fa7472fdc2_62157_270x270_fill_q75_lanczos_center.jpg</url><title>Sakanghong</title><link>https://jbnu.macs.or.kr/ko/author/sakanghong/</link></image><item><title>Uncertainty-Aware Bayesian Prompt Adaptation for Robust Cross-Modality Medical Segmentation</title><link>https://jbnu.macs.or.kr/ko/publication/0044-uncertainty-aware-bayesian-prompt-adaptation-for-robust-cross-modality-medical-segmentation/</link><pubDate>Mon, 01 Jun 2026 00:00:00 +0900</pubDate><guid>https://jbnu.macs.or.kr/ko/publication/0044-uncertainty-aware-bayesian-prompt-adaptation-for-robust-cross-modality-medical-segmentation/</guid><description/></item></channel></rss>