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Hi, I'm Yunguan 👋

@InstaDeep @BioNTech

Note

We have two papers accepted at NeurIPS 2023 Machine Learning in Structural Biology Workshop!

  • LightMHC: A Light Model for pMHC Structure Prediction with Graph Neural Networks (paper, code)
  • FrameDiPT: SE(3) Diffusion Model for Protein Structure Inpainting (paper, code)

I am a senior research engineer from the Department of BioAI at InstaDeep (now part of BioNTech), currently managing multiple R&D teams for bioinformatics projects.

@UCL

Note

My latest paper A Recycling Training Strategy for Medical Image Segmentation with Diffusion Denoising Models has been published in machine learning for biomedical imaging journal (MELBA) and the JAX/FLAX-based code base is available at ImgX-DiffSeg!

I am also a PhD student and Honorary Research Assistant from the Department of Medical Physics and Biomedical Engineering at University College London, under the supervision of Associate Professor Yipeng Hu. My research interests focus on deep learning in medical imaging. More about my research can be found at google scholar.

Yunguan Fu's Projects

imgx-diffseg icon imgx-diffseg

A JAX-based deep learning framework for image segmentation using diffusion models.

minimal icon minimal

Minimal is a Jekyll theme for GitHub Pages

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