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cs.CV2026
VIHD: Visual Intervention-based Hallucination Detection for Medical Visual Question Answering
Jiayi Chen, Benteng Ma, Zehui Liao +3
While medical Multimodal Large Language Models (MLLMs) have shown promise in assisting diagnosis, they still frequently generate hallucinated responses that appear linguistically p…
cs.CV2026
EviATTA: Evidential Active Test-Time Adaptation for Medical Segment Anything Models
Jiayi Chen, Yasmeen George, Winston Chong +1
Deploying foundational medical Segment Anything Models (SAMs) via test-time adaptation (TTA) is challenging under large distribution shifts, where test-time supervision is often un…
cs.CV2025★ 1 cited
SAM-aware Test-time Adaptation for Universal Medical Image Segmentation
Jianghao Wu, Yicheng Wu, Yutong Xie +7
Leveraging the Segment Anything Model (SAM) for medical image segmentation remains challenging due to its limited adaptability across diverse medical domains. Although fine-tuned v…