About

Miloš Vukadinović

I am a third-year Bionegineering PhD student at UCLA advised by David Ouyang (opens in a new tab). I work on AI in Medicine applications and specialize in ML for cardiac medical imaging.

I got my bachelor's degree at American University In Bulgaria where I double-majored in Mathematics and Computer Science.

Selected Publications:

• EchoPrime: A foundation model for comprehensive echocardiogram exam interpretation [📄 Paper (opens in a new tab)] [💻 Code (opens in a new tab)] [🚀 Demo (opens in a new tab)] ⏳ In review ⏳
• EchoCLIP: Vision–language foundation model for echocardiogram interpretation [📄 Paper (opens in a new tab)] [💻 Code (opens in a new tab)] [🚀 Demo (opens in a new tab)] Nature Medicine
• Deep learning-enabled analysis identifies cardiac sphericity as an early marker of cardiomyopathy [📄 Paper (opens in a new tab)] [💻 Code (opens in a new tab)] 🌟 Featured on the Cover of Cell Med 🌟
• GANcMRI: Cardiac magnetic resonance video generation and physiologic guidance using latent space prompting [📄 Paper (opens in a new tab)] [💻 Code (opens in a new tab)] [🚀 Demo (opens in a new tab)] ML4H @ NeurIPS

News

• [03/25/2024] Serving as a reviewer for MICCAI 2025 (opens in a new tab)
• [01/16/2025] Guest Lecture at UC Berkeley / UCSF CPH 200B
• [12/11/2024] Won a first place at UCLA’s research day (opens in a new tab) for the oral presentation
• [10/13/2024] EchoPrime (opens in a new tab) out on arxiv
• [09/09/2024] Won NIH MIDI-B (opens in a new tab) medical data deidentification challenge

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