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Saury997/README.md

Hi there 👋

I am an Engineering Ph.D. student at the IDEA Lab (ShanghaiTech University), advised by Prof. Dinggang Shen. I previously completed my undergraduate studies at Heilongjiang University under the supervision of Prof. Jiquan Ma.

  • 🔭 Research Focus: I develop advanced deep learning methods for medical image analysis🩺, and generative AI, especially reliable and clinically meaningful generative models.
  • 🌱 Broader Interests: Machine learning, computer vision, and AI for healthcare.
  • 🎯 Hobbies: Go (Weiqi)⚫⚪, music🎵, and reading📚.
  • 💡 Motto: Learn deeply, think clearly, live fully.
  • 📫 Contact: Reach me at yangzj0113@126.com or view my Google Scholar.

🤝 Open to discussions and collaborations in medical AI and computer vision!

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  1. TSLDSeg TSLDSeg Public

    [Pattern Recognition 2025] Official implementation of paper: "TSLDSeg: A Texture-aware and Semantic-enhanced Latent Diffusion Model for Medical Image Segmentation"

    Python 4

  2. S3H-Net S3H-Net Public

    [MICCAI 2026] The official implementation of paper: "S3H-Net: Injecting Hybrid Semantic-Spatial Guidance via Superpixel Hypergraphs for Medical Image Segmentation"

    Python 1

  3. Breast-MRI-Virtual-Contrast-Enhancement Breast-MRI-Virtual-Contrast-Enhancement Public

    [MAMA-SYNTH Challenge] Official PyTorch implementation of our Top-3 solution: "Supervised Virtual Contrast Enhancement in Breast MRI with Multi-domain Losses and Lesion-aware Decoding"

    Python 1