https://x-izhang.github.io/tags/medical-models/Medical ModelsHugo Blox Builder (https://hugoblox.com)en-usSat, 22 Nov 2025 00:00:00 +0000https://x-izhang.github.io/media/icon_hu134860076176174952.pnghttps://x-izhang.github.io/tags/medical-models/https://x-izhang.github.io/post/mlis2025/Sat, 22 Nov 2025 00:00:00 +0000https://x-izhang.github.io/post/mlis2025/<h3 id="-talk-title">💡 Talk Title</h3> <p><a href="https://mlinscience.gitlab.io/events/251209_adaptive_intelligence/" target="_blank" rel="noopener"><strong>Leveraging Temporal Images for Biomedical Radiology Analysisy</strong></a></p> <h5 id="-abstract">🖇️ Abstract</h5> <p>A temporal-aware multimodal method for radiology report generation that leverages paired chest X-rays to understand disease progression and address key challenges in medical AI.</p> <h3 id="-talk">📹 Talk</h3> <div style="position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden;"> <iframe allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen="allowfullscreen" loading="eager" referrerpolicy="strict-origin-when-cross-origin" src="https://www.youtube.com/embed/m5x5aKvxutg?autoplay=0&controls=1&end=0&loop=0&mute=0&start=0" style="position: absolute; top: 0; left: 0; width: 100%; height: 100%; border:0;" title="YouTube video" ></iframe> </div> <h3 id="-slides">📺 Slides</h3> <div style="text-align: center;"> <iframe src="https://docs.google.com/presentation/d/e/2PACX-1vTEOOOHyk99V4F0n_3rSXFdxNjFlUFaIL80AnqW0rq2ZaUEnrhLeDXO3U9D4hqVhbmKrb7Sb3xsH-Vy/pubembed?start=true&loop=true&delayms=3000" frameborder="0" width="700" height="422" allowfullscreen="true" mozallowfullscreen="true" webkitallowfullscreen="true"></iframe> </div> <h3 id="-time">⏰ Time</h3> <figure><img src="https://x-izhang.github.io/post/mlis2025/poster.png"> </figure> <p>📍 <strong>MLiS</strong> — <a href="https://mlinscience.gitlab.io/" target="_blank" rel="noopener">Machine Learning in Science Colloquium</a>, an interdisciplinary University of Glasgow-based research community fostered around the use of machine learning.</p> <p>See you there!</p>