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cs.CV2025
On the Utility of Foundation Models for Fast MRI: Vision-Language-Guided Image Reconstruction
Ruimin Feng, Xingxin He, Ronald Mercer +2
Purpose: To investigate whether a vision-language foundation model can enhance undersampled MRI reconstruction by providing high-level contextual information beyond conventional pr…
cs.CV2025
OmniMRI: A Unified Vision--Language Foundation Model for Generalist MRI Interpretation
Xingxin He, Aurora Rofena, Ruimin Feng +4
Magnetic Resonance Imaging (MRI) is indispensable in clinical practice but remains constrained by fragmented, multi-stage workflows encompassing acquisition, reconstruction, segmen…
cs.CV2025★ 1 cited
Few-Shot Adaptation of Training-Free Foundation Model for 3D Medical Image Segmentation
Xingxin He, Yifan Hu, Zhaoye Zhou +2
Vision foundation models have achieved remarkable progress across various image analysis tasks. In the image segmentation task, foundation models like the Segment Anything Model (S…