14 citations · 15 across the 6 of their papers we have counts for
4 papers · 1 filter
PromptGate Client Adaptive Vision Language Gating for Open Set Federated Active Learning
Adea Nesturi, David Dueñas Gaviria, Jiajun Zeng +1
Deploying medical AI across resource-constrained institutions demands data-efficient learning pipelines that respect patient privacy. Federated Learning (FL) enables collaborative…
K-MaT: Knowledge-Anchored Manifold Transport for Cross-Modal Prompt Learning in Medical Imaging
Jiajun Zeng, Shadi Albarqouni
Large-scale biomedical vision-language models (VLMs) adapted on high-end imaging (e.g., CT) often fail to transfer to frontline low-end modalities (e.g., radiography), collapsing i…
EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image Segmentation
Ao Chang, Jiajun Zeng, Ruobing Huang +1
Convolutional neural networks have primarily led 3D medical image segmentation but may be limited by small receptive fields. Transformer models excel in capturing global relationsh…
PE-MED: Prompt Enhancement for Interactive Medical Image Segmentation
Ao Chang, Xing Tao, Xin Yang +5
Interactive medical image segmentation refers to the accurate segmentation of the target of interest through interaction (e.g., click) between the user and the image. It has been w…