1 citations · 2 across the 6 of their papers we have counts for
6 papers
HeLo: Heterogeneous Multi-Modal Fusion with Label Correlation for Emotion Distribution Learning
Chuhang Zheng, Chunwei Tian, Jie Wen +2
Multi-modal emotion recognition has garnered increasing attention as it plays a significant role in human-computer interaction (HCI) in recent years. Since different discrete emoti…
PathCoT: Chain-of-Thought Prompting for Zero-shot Pathology Visual Reasoning
Junjie Zhou, Yingli Zuo, Shichang Feng +4
With the development of generative artificial intelligence and instruction tuning techniques, multimodal large language models (MLLMs) have made impressive progress on general reas…
MorphSAM: Learning the Morphological Prompts from Atlases for Spine Image Segmentation
Dingwei Fan, Junyong Zhao, Chunlin Li +5
Spine image segmentation is crucial for clinical diagnosis and treatment of spine diseases. The complex structure of the spine and the high morphological similarity between individ…
Robust Multimodal Survival Prediction with the Latent Differentiation Conditional Variational AutoEncoder
Junjie Zhou, Jiao Tang, Yingli Zuo +3
The integrative analysis of histopathological images and genomic data has received increasing attention for survival prediction of human cancers. However, the existing studies alwa…
DAMM-Diffusion: Learning Divergence-Aware Multi-Modal Diffusion Model for Nanoparticles Distribution Prediction
Junjie Zhou, Shouju Wang, Yuxia Tang +3
The prediction of nanoparticles (NPs) distribution is crucial for the diagnosis and treatment of tumors. Recent studies indicate that the heterogeneity of tumor microenvironment (T…
Spatially Resolved Gene Expression Prediction from Histology via Multi-view Graph Contrastive Learning with HSIC-bottleneck Regularization
Changxi Chi, Hang Shi, Qi Zhu +2
The rapid development of spatial transcriptomics(ST) enables the measurement of gene expression at spatial resolution, making it possible to simultaneously profile the gene express…