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  • Beihang University
  • Beijing, China

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AdvancingEther/README.md

I'm Zichun 👋

I work on medical image analysis, medical large language models (MLLMs), and 3D volumetric understanding and analysis. I’m especially interested in problems where perception, reasoning, and spatial grounding come together in medical data 🧠

Research Interests

  • Medical image segmentation and analysis
  • Medical large language models and multimodal learning
  • 3D volumetric understanding and reasoning
  • Vision-language modeling for clinical applications
  • Grounded perception in complex medical scenes

What I'm Working On

  • Developing MLLM-based methods for medical image understanding
  • Exploring reasoning and grounding for volumetric medical data
  • Improving 3D perception, localization, and segmentation in clinical scenarios

Tech Stack

GitHub

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  1. MedVol-R1 MedVol-R1 Public

    👏MedVol-R1: Reward-Driven Evidence Grounding for Volumetric Reasoning Segmentation [MICCAI 2026 Provisional Accept]

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