ReXGroundingCT: A 3D Chest CT Dataset for Segmentation of Findings from Free-Text Reports
Paper
•
2507.22030
•
Published
segmentation plus report
-
-
Unlocking the Potential of MLLMs in Referring Expression Segmentation via a Light-weight Mask Decode
Paper • 2508.04107 • Published • 4 -
Phrase-grounded Fact-checking for Automatically Generated Chest X-ray Reports
Paper • 2509.21356 • Published -
Learning Segmentation from Radiology Reports
Paper • 2507.05582 • Published • 1 -
UniBiomed: A Universal Foundation Model for Grounded Biomedical Image Interpretation
Paper • 2504.21336 • Published • 4 -
RadGenome-Chest CT: A Grounded Vision-Language Dataset for Chest CT Analysis
Paper • 2404.16754 • Published -
Self-Supervised Anatomical Consistency Learning for Vision-Grounded Medical Report Generation
Paper • 2509.25963 • Published -
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
Paper • 2501.04678 • Published • 1 -
Dream-VL & Dream-VLA: Open Vision-Language and Vision-Language-Action Models with Diffusion Language Model Backbone
Paper • 2512.22615 • Published • 35