6 papers
Advancing Cancer Prognosis with Hierarchical Fusion of Genomic, Proteomic and Pathology Imaging Data from a Systems Biology Perspective
Junjie Zhou, Bao Xue, Meiling Wang +2
To enhance the precision of cancer prognosis, recent research has increasingly focused on multimodal survival methods by integrating genomic data and histology images. However, cur…
MAPLE: Multi-scale Attribute-enhanced Prompt Learning for Few-shot Whole Slide Image Classification
Junjie Zhou, Wei Shao, Yagao Yue +4
Prompt learning has emerged as a promising paradigm for adapting pre-trained vision-language models (VLMs) to few-shot whole slide image (WSI) classification by aligning visual fea…
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…
Feature Fusion Revisited: Multimodal CTR Prediction for MMCTR Challenge
Junjie Zhou
With the rapid advancement of Multimodal Large Language Models (MLLMs), an increasing number of researchers are exploring their application in recommendation systems. However, the…
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…