3 papers
cs.CV2026
MieDB-100k: A Comprehensive Dataset for Medical Image Editing
Yongfan Lai, Wen Qian, Bo Liu +5
The scarcity of high-quality data remains a primary bottleneck in adapting multimodal generative models for medical image editing. Existing medical image editing datasets often suf…
cs.CV2026
PHASOR: Anatomy- and Phase-Consistent Volumetric Diffusion for CT Virtual Contrast Enhancement
Zilong Li, Dongyang Li, Chenglong Ma +6
Contrast-enhanced computed tomography (CECT) is pivotal for highlighting tissue perfusion and vascularity, yet its clinical ubiquity is impeded by the invasive nature of contrast a…
cs.CV2026
MedGround: Bridging the Evidence Gap in Medical Vision-Language Models with Verified Grounding Data
Mengmeng Zhang, Xiaoping Wu, Hao Luo +2
Vision-Language Models (VLMs) can generate convincing clinical narratives, yet frequently struggle to visually ground their statements. We posit this limitation arises from the sca…