20 citations · 32 across the 4 of their papers we have counts for
4 papers
M+: Extending MemoryLLM with Scalable Long-Term Memory
Yu Wang, Dmitry Krotov, Yuanzhe Hu +6
Equipping large language models (LLMs) with latent-space memory has attracted increasing attention as they can extend the context window of existing language models. However, retai…
DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation
Yifan Gao, Wei Xia, Dingdu Hu +2
Deep learning-based medical image segmentation models often suffer from domain shift, where the models trained on a source domain do not generalize well to other unseen domains. As…
An Anatomy-aware Framework for Automatic Segmentation of Parotid Tumor from Multimodal MRI
Yifan Gao, Yin Dai, Fayu Liu +2
Magnetic Resonance Imaging (MRI) plays an important role in diagnosing the parotid tumor, where accurate segmentation of tumors is highly desired for determining appropriate treatm…
TransMed: Transformers Advance Multi-modal Medical Image Classification
Yin Dai, Yifan Gao
Over the past decade, convolutional neural networks (CNN) have shown very competitive performance in medical image analysis tasks, such as disease classification, tumor segmentatio…