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cloneiq/README.md

CloneIQ GitHub Profile Banner

GitHub ARISE-MedVQA Email

AI for Medical Imaging · Medical Visual Question Answering · Radiology Report Generation · Trustworthy Multimodal Medical Intelligence

👋 About

I am Lijun Liu (@cloneiq), working on medical artificial intelligence, with a focus on medical imaging, multimodal learning, medical visual question answering, radiology report generation, and trustworthy clinical reasoning. My GitHub is organized as a research-oriented project hub for reproducible medical AI, including model implementations, academic resource repositories, and medical image analysis projects.

🔬 Research Focus

Medical Visual Question Answering
Med-VQA, knowledge-enhanced reasoning, causal debiasing, evidence grounding, and active inquiry. 		Radiology Report Generation
Chest X-ray report generation, causal evidence coupling, semantic consistency, and clinical evaluation. 		Medical Image Analysis
Polyp segmentation, lesion-aware modeling, boundary enhancement, and diagnosis-oriented image understanding.

🛠️ Technical Interests

📌 Pinned Repositories

The following pinned repositories highlight representative work by our team in medical VQA, radiology report generation, and medical image analysis.

Pinned Loading

  1. CIMB-MVQA CIMB-MVQA Public

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

    Python 10 1

  2. CKRA-MedVQA CKRA-MedVQA Public

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

    Python 6 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 3

  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…