<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ultrasound | Chunzheng Zhu</title><link>https://zhcz328.github.io/tag/ultrasound/</link><atom:link href="https://zhcz328.github.io/tag/ultrasound/index.xml" rel="self" type="application/rss+xml"/><description>Ultrasound</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><lastBuildDate>Mon, 11 May 2026 00:00:00 +0000</lastBuildDate><image><url>https://zhcz328.github.io/media/icon_huc9fe9d140a9bb016fbeeaa3ba1111928_724048_512x512_fill_lanczos_center_3.png</url><title>Ultrasound</title><link>https://zhcz328.github.io/tag/ultrasound/</link></image><item><title>Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation</title><link>https://zhcz328.github.io/publication/anaus/</link><pubDate>Mon, 11 May 2026 00:00:00 +0000</pubDate><guid>https://zhcz328.github.io/publication/anaus/</guid><description>&lt;p>AnaUS discovers unlabeled anatomical structures with an LP-SAM driven latent prompt engine and combines anatomy disentanglement alignment with core-region prediction for robust ultrasound representation learning.&lt;/p></description></item><item><title>Subspace-Guided Semantic and Topological Invariant Registration for Annotation-Free Ultrasound Plane Quality Control</title><link>https://zhcz328.github.io/publication/striq/</link><pubDate>Sun, 10 May 2026 00:00:00 +0000</pubDate><guid>https://zhcz328.github.io/publication/striq/</guid><description>&lt;p>STRIQ is a registration-driven annotation-free ultrasound plane quality control framework. It uses a latent registration aligner and orthogonal knowledge subspaces to improve correlation with clinical quality scoring.&lt;/p></description></item><item><title>Advancing Ultrasound Medical Continuous Learning with Task-Specific Generalization and Adaptability</title><link>https://zhcz328.github.io/publication/ultrasound-continual-learning/</link><pubDate>Tue, 03 Dec 2024 00:00:00 +0000</pubDate><guid>https://zhcz328.github.io/publication/ultrasound-continual-learning/</guid><description>&lt;p>This work addresses catastrophic forgetting in ultrasound medical image analysis with masked ultrasound image modeling and contrastive historical-current learning.&lt;/p></description></item><item><title>AI-assisted Fetal Ultrasound Diagnosis</title><link>https://zhcz328.github.io/project/awesome-slu-survey/</link><pubDate>Fri, 01 Sep 2023 00:00:00 +0000</pubDate><guid>https://zhcz328.github.io/project/awesome-slu-survey/</guid><description>&lt;p>This project focuses on AI-assisted fetal ultrasound diagnosis, including large-scale classification models, disease detection, self-supervised learning, continual learning, and medical multimodal large language models.&lt;/p></description></item></channel></rss>