<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>MacsLAB</title><link>https://jbnu.macs.or.kr/en/author/sakanghong/</link><atom:link href="https://jbnu.macs.or.kr/en/author/sakanghong/index.xml" rel="self" type="application/rss+xml"/><description>MacsLAB</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Fri, 07 Nov 2025 00:00:00 +0000</lastBuildDate><image><url>https://jbnu.macs.or.kr/en/author/sakanghong/avatar_hua401624bac359243bb5b58fa7472fdc2_62157_270x270_fill_q75_lanczos_center.jpg</url><title>MacsLAB</title><link>https://jbnu.macs.or.kr/en/author/sakanghong/</link></image><item><title/><link>https://jbnu.macs.or.kr/en/author/sakanghong/</link><pubDate>Fri, 07 Nov 2025 00:00:00 +0000</pubDate><guid>https://jbnu.macs.or.kr/en/author/sakanghong/</guid><description>&lt;!-- Fine-Tuning Deep Learning Network for Multi-Domain and Multi-Task Applications 2023 . 2024 position . medical , , , AI . --></description></item><item><title>SAM2-based Bayesian Prompt Adaptation for Cross-Modality Medical Segmentation</title><link>https://jbnu.macs.or.kr/en/publication/0034-sam2-based-bayesian-prompt-adaptation-for-cross-modality-medical-segmentation/</link><pubDate>Fri, 07 Nov 2025 00:00:00 +0000</pubDate><guid>https://jbnu.macs.or.kr/en/publication/0034-sam2-based-bayesian-prompt-adaptation-for-cross-modality-medical-segmentation/</guid><description/></item></channel></rss>