Yuwen Chen

ECE PhD Student, Duke University

prof_pic.jpg

Hock, Duke University

2080 Duke University Road

Durham, NC 27708

I am currently a 4th-year ECE PhD student at Duke University focusing on AI + healthcare. I am fortunate to be advised by Prof. Maciej A. Mazurowski. I have worked at Siemens Healthineers as a Research Scientist Intern.

My research interests primarily lie in foundation models, vision-language models, agentic systems, generative models, learning under data distribution shifts, and advancing AI solutions for real-world challenges.

Prior to my Ph.D., I earned master’s degrees in Electrical and Computer Engineering from Carnegie Mellon University, where I was advised by Prof. Zachary Lipton, and from Imperial College London, where I was supervised by Prof. Jesus Rodriguez Manzano. I completed my undergraduate studies through the 2+2 program at the University of Nottingham, where I primarily worked with Dr. David Siu Yeung Cho.

See my Google Scholar for a full list of my publications, with a few recent highlights shown below.

news

Nov 02, 2025 🔥 Our paper on unpaired image translation using contour-guided diffusion model (ContourDiff) has been accepted for publication in Machine Learning for Biomedical Imaging (MELBA).
Oct 28, 2025 🔥 Our paper on accelerating volumetric medical image annotation (SLM-SAM 2) has been accepted for publication in IEEE Transaction on Medical Imaging (IEEE TMI).
Apr 15, 2025 🔥 Our paper on universal bone segmentation is accepted by Medical Image Analysis.
Jun 15, 2024 🔥 Our paper on anatomically-controllable image generation is accepted by MICCAI.

selected publications

  1. IEEE TMI
    slm-sam2.png
    Accelerating Volumetric Medical Image Annotation via Short-Long Memory SAM 2
    Yuwen Chen, Zafer Yildiz, Qihang Li, and 5 more authors
    IEEE Transactions on Medical Imaging, 2025
  2. MELBA
    contourdiff.png
    ContourDiff: Unpaired Medical Image Translation with Structural Consistency
    Yuwen Chen, Nicholas Konz, Hanxue Gu, and 5 more authors
    Machine Learning for Biomedical Imaging, 2025