ReXGroundingCT: A 3D Chest CT Dataset for Segmentation of Findings from Free-Text Reports
Paper
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2507.22030
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Published
segmentation plus report
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Unlocking the Potential of MLLMs in Referring Expression Segmentation via a Light-weight Mask Decode
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Phrase-grounded Fact-checking for Automatically Generated Chest X-ray Reports
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Learning Segmentation from Radiology Reports
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UniBiomed: A Universal Foundation Model for Grounded Biomedical Image Interpretation
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RadGenome-Chest CT: A Grounded Vision-Language Dataset for Chest CT Analysis
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Self-Supervised Anatomical Consistency Learning for Vision-Grounded Medical Report Generation
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Med-GLIP: Advancing Medical Language-Image Pre-training with Large-scale Grounded Dataset
Paper • 2508.10528 • Published -
M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models
Paper • 2404.00578 • Published • 1 -
RadGPT: Constructing 3D Image-Text Tumor Datasets
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Dream-VL & Dream-VLA: Open Vision-Language and Vision-Language-Action Models with Diffusion Language Model Backbone
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Urban Socio-Semantic Segmentation with Vision-Language Reasoning
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