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cloneiq/README.md

Lijun Liu

Medical Artificial Intelligence | Medical Vision-Language Learning | Trustworthy Clinical AI

I am a researcher working at the intersection of artificial intelligence and medical imaging, with a particular focus on medical visual question answering, radiology report generation, multimodal representation learning, and trustworthy clinical reasoning.

This GitHub serves as a research-oriented hub for medical AI, bringing together reproducible model implementations, curated academic resources, and medical image analysis projects.

🔬 Research Interests

🧠 Medical Visual Question Answering

Knowledge-enhanced Med-VQA, causal debiasing, evidence grounding, and clinically grounded reasoning.

🩻 Radiology Report Generation

Chest X-ray report generation, causal evidence modeling, semantic consistency, and clinical reliability.

🔬 Medical Image Analysis

Medical image segmentation and detection, lesion-aware learning, boundary refinement, and intelligent diagnosis.

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  1. CIMB-MVQA CIMB-MVQA Public

    Causal Intervention on Modality-specific Biases for Medical Visual Question Answering

    Python 12 1

  2. CKRA-MedVQA CKRA-MedVQA Public

    Beyond Static Knowledge: Dynamic Context-Aware Cross-Modal Contrastive Learning for Medical Visual Question Answering

    Python 7 1

  3. DiffuVQA DiffuVQA Public

    DiffuVQA: Redefining medical visual question answering using conditional generative diffusion models

    Python 11 6

  4. DE-CaGI DE-CaGI Public

    Causal Gradient Intervention for Debiased and Evidence-Grounded Medical Visual Question Answering

    Python 5

  5. C3E-RRG C3E-RRG Public

    Confounder-Aware Causal Evidence Coupling and Evolution for Chest X-Ray Report Generation

    Python

  6. ARISE-MedVQA ARISE-MedVQA Public

    A curated literature resource hub for Medical Visual Question Answering, covering surveys, datasets, benchmarks, evaluation metrics, representative methods, and multimodal medical agents, with a fo…

    2 1