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Kheil-Z/README.md

Hi, I'm Ziad 👋

Deep learning PhD researcher working on computer vision for 3D and time-resolved data, physics-informed training, multimodal biomedical data (CT/MRI, whole-slide images, omics), and LLM / VLM agents and evaluation.

Highlights

  • 🧩 biomechanical_DLIR: PyTorch framework for physically constrained image deformation learning (rigidity, sliding, learned tissue mechanics). Scientific Reports 2026. Try it live on Hugging Face
  • ⏱️ IMITATE: conditional network that reconstructs missing frames in 3D time sequences (IEEE ISBI 2025, oral)
  • 🏆 VisioMel: 2nd place, melanoma relapse prediction from gigapixel slide images
  • 💬 Elenchus: multiplayer LLM workspace (TypeScript), deployed on

I enjoy understanding new things, from science to chess.

  • 🤔 Always happy to collaborate on data-driven scientific discovery in oncology and healthcare, and on physics-informed / constrained learning.
  • ☕️ Often up for a coffee break.

Pinned Loading

  1. elenchus elenchus Public

    Elenchus: multiplayer LLM workspace. Stop copy-pasting AI replies. One thread — your team, your AI, everyone in the same room, each using your own LLM API key or custom model. Think "Claude Team" w…

    TypeScript 9

  2. biomechanical_DLIR biomechanical_DLIR Public

    PyTorch framework for biomechanically constrained deformable image registration with support for locally rigid structures, sliding interfaces, and learned tissue mechanics. Associated paper: https:…

    Python 7 2

  3. IMITATE IMITATE Public

    Supporting code for IMITATE: Image Registration with context for Unknown Time Frame Recovery

    Python 4