#3d medical imaging
4 papers · 1 filter
MedARC: Training-Free Adaptive Redundancy Compression of Visual Tokens for 3D Medical Vision-Language Models
Yitao Zhu, Mengjun Liu, Yingji Fu +2
MedARC is a training-free method that compresses redundant visual tokens in 3D medical images for vision‑language models by scoring token importance with multiple cues and merging…
Rad-JEPA 3D: Radiology Joint-Embedding Predictive Model for 3D Computed Tomography
Quoc-Huy Trinh, Minh-Van Nguyen, Ulas Bagci
The paper presents Rad-JEPA 3D, a self‑supervised joint‑embedding model that learns 3D CT representations by predicting latent features of a full scan from a masked view, using a h…
Multimodal Semantic-Aware Contrastive Learning For False Negative Mitigation in 3D Medical Imaging
Sara Ketabi, Matthias W. Wagner, Cynthia Hawkins +3
The paper proposes a multimodal semantic-aware contrastive learning framework that uses semantic similarity from radiology reports to reduce false negatives when training on 3D bra…
Towards Enhancing 3D Spatial Reasoning in Medical Multimodal Large Language Models
Zhuoyuan Fu, Zeshang Li, Yiqiong Zhang +5
The paper presents a large-scale structured reasoning dataset created via slice‑wise synthesis that encodes chain‑of‑thought explanations for 3D medical images, and uses it to inst…