3 papers
cs.CV2026
Task-Adaptive 3D Cross-Field MRI Translation via Field-Conditioned Content-Style Pretraining
Haowen Pang, Yingqi Hao, Pengli Zhu
Magnetic field strength is a major source of domain shift in magnetic resonance imaging (MRI), affecting signal-to-noise ratio, tissue contrast, spatial detail, and the visibility…
cs.CV2026
MedARC: Training-Free Adaptive Redundancy Compression of Visual Tokens for 3D Medical Vision-Language Models
Yitao Zhu, Mengjun Liu, Yingji Fu +2
Integrating 3D medical images with vision-language models (VLMs) holds substantial promise for computer-aided diagnosis. However, volumetric images generate prohibitively long visu…
cs.CV2026
IHF-Harmony: Multi-Modality Magnetic Resonance Images Harmonization using Invertible Hierarchy Flow Model
Pengli Zhu, Yitao Zhu, Haowen Pang +1
Retrospective MRI harmonization is limited by poor scalability across modalities and reliance on traveling subject datasets. To address these challenges, we introduce IHF-Harmony,…