A decoupled dual-source learning framework trains parallel models on independent expert annotations for PET-CT bone infection segmentation and uses patient-level 3D evaluation to report performance variations.
Slava-cxr: Small language and vision assistant for chest x-ray report automation
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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RAG4Outcome is a retrieval-augmented multimodal framework for prognostic prediction in chronic osteomyelitis using imaging reports, structured records, and unstructured notes.
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Cross-Source Supervision for Bone Infection Segmentation in Dual-Modality PET-CT
A decoupled dual-source learning framework trains parallel models on independent expert annotations for PET-CT bone infection segmentation and uses patient-level 3D evaluation to report performance variations.
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RAG4Outcome: A Retrieval-Augmented Multimodal Framework for Prognostic Prediction in Chronic Osteomyelitis
RAG4Outcome is a retrieval-augmented multimodal framework for prognostic prediction in chronic osteomyelitis using imaging reports, structured records, and unstructured notes.