Haoyu Dong

haoyudong.jpg

Email:haoyu (dot) dong151 (at) duke (dot) edu

I am a 3rd year Ph.D. student at Duke University, working on AI + Healthcare. I am fortunate to be advised by Prof. Maciej A. Mazurowski.

I am interested in several research topics, including foundation models, image harmonization, anomaly detection, and multi-modal learning. See my Research Topics Bar for details.

Before starting my Ph.D., I got my master degree from Duke University, majoring in Computer Science, supervised by Prof. Guillermo Sapiro. Before that, I did double major in Compute Science and Cognitive Science from UC San Diego, where I worked with Prof. Zhuowen Tu.

See my Google Scholar page for a full list of my publications, with a few recent papers highlighted in the section below.

News

Aug 01, 2024 We have One paper on Evaluation of SAM2 on medical images out on Arxiv!
Apr 11, 2024 We have One paper on Test-time Adapation accpeted at CVPR Workshop (Oral)!
Sep 05, 2023 We have One Paper on Anomaly Detection accepted at IEEE Trans. on Medical Imaging!
Jul 31, 2023 We have One Paper on Evaluation of SAM accepted at Medical Image Analysis!
Jun 20, 2023 We have One paper on Medical Report Generation accpeted at ICML Workshop, IMLH!
May 03, 2023 We have One Paper on Anomaly Localization in Breast Scans accepted at Medical Image Analysis!

Selected publications

* indicates equal contribution.

  1. ft_sam
    How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model
    Hanxue Gu*, Haoyu Dong*, Jichen Yang, and Maciej A Mazurowski
    arXiv preprint arXiv:2404.09957, 2024
  2. tta
    Medical Image Segmentation with InTEnt: Integrated Entropy Weighting for Single Image Test-Time Adaptation
    Haoyu Dong, Nicholas Konz, Hanxue Gu, and Maciej A Mazurowski
    In CVPR (Conference on Computer Vision and Pattern Recognition): Workshop on Domain adaptation, Explainability, Fairness in AI for Medical Image Analysis (Oral), 2024
    arXiv
  3. sam_eval
    Segment anything model for medical image analysis: an experimental study
    Maciej A Mazurowski, Haoyu Dong, Hanxue Gu, Jichen Yang, and 2 more authors
    Medical Image Analysis, 2023
    arXiv
  4. swssl
    SWSSL: Sliding window-based self-supervised learning for anomaly detection in high-resolution images
    Haoyu Dong, Yifan Zhang, Hanxue Gu, Nicholas Konz, and 2 more authors
    IEEE Transactions on Medical Imaging, 2023