4 papers
FedBiCross: Personalized One-Shot Federated Learning on Medical Images
Yuexuan Xia, Yinghao Zhang, Yalin Liu +2
Data-free knowledge distillation-based one-shot federated learning (OSFL) trains a model in a single communication round without sharing raw data, making OSFL attractive for privac…
UniVRSE: Unified Vision-conditioned Response Semantic Entropy for Hallucination Detection in Medical Vision-Language Models
Zehui Liao, Shishuai Hu, Ke Zou +5
Vision-language models (VLMs) have great potential for medical image understanding, particularly in Visual Report Generation (VRG) and Visual Question Answering (VQA), but they may…
V-Loop: Visual Logical Loop Verification for Hallucination Detection in Medical Visual Question Answering
Mengyuan Jin, Zehui Liao, Yong Xia
Multimodal Large Language Models (MLLMs) have shown remarkable capability in assisting disease diagnosis in medical visual question answering (VQA). However, their outputs remain v…
Cycle Context Verification for In-Context Medical Image Segmentation
Shishuai Hu, Zehui Liao, Liangli Zhen +2
In-context learning (ICL) is emerging as a promising technique for achieving universal medical image segmentation, where a variety of objects of interest across imaging modalities…