Georg Wölflein

PhD student in computer vision / deep learning

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I’m Georg, a PhD student in the Computer Vision Research Group at the University of St Andrews, advised by Ognjen Arandjelović. Prior to this, I studied an integrated master’s (MSci) in Computer Science at the same institution. My research lies at the intersection of computer vision, deep learning, and computational pathology. In particular, I am interested in weakly supervised biomarker prediction in histopathology images, as well as self-supervised learning and vision-language models.

Feel free to reach out via email!

news

May 1, 2024 I will be doing a research internship at Google London this summer.
Feb 5, 2024 I gave a talk at the Warwick Tissue Image Analytics (TIA) Centre about self-supervised feature extractors for pathology slide classification.
Sep 10, 2022 One paper was accepted at WACV 2023.
May 26, 2021 My first paper, Determining Chess Game State from an Image, was accepted at the Journal of Imaging!
Jul 1, 2020 I’m honoured to receive the Adobe Prize.

selected publications

Please refer to the publications tab or Google Scholar for a complete list.

  1. A Good Feature Extractor Is All You Need for Weakly Supervised Pathology Slide Classification
    In European Conference on Computer Vision (ECCV), 2024.
  2. Deep Multiple Instance Learning with Distance-Aware Self-Attention
    2023.
  3. HoechstGAN: Virtual Lymphocyte Staining Using Generative Adversarial Networks
    In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023.
  4. Determining Chess Game State from an Image
    Georg Wölflein, and Ognjen Arandjelović
    Journal of Imaging, vol. 7, no. 6, 2021.