6 citations · 9 across the 4 of their papers we have counts for
4 papers
MSVM-UNet: Multi-Scale Vision Mamba UNet for Medical Image Segmentation
Chaowei Chen, Li Yu, Shiquan Min +1
State Space Models (SSMs), especially Mamba, have shown great promise in medical image segmentation due to their ability to model long-range dependencies with linear computational…
scASDC: Attention Enhanced Structural Deep Clustering for Single-cell RNA-seq Data
Wenwen Min, Zhen Wang, Fangfang Zhu +2
Single-cell RNA sequencing (scRNA-seq) data analysis is pivotal for understanding cellular heterogeneity. However, the high sparsity and complex noise patterns inherent in scRNA-se…
Masked adversarial neural network for cell type deconvolution in spatial transcriptomics
Lin Huang, Xiaofei Liu, Shunfang Wang +1
Accurately determining cell type composition in disease-relevant tissues is crucial for identifying disease targets. Most existing spatial transcriptomics (ST) technologies cannot…
stMCDI: Masked Conditional Diffusion Model with Graph Neural Network for Spatial Transcriptomics Data Imputation
Xiaoyu Li, Wenwen Min, Shunfang Wang +2
Spatially resolved transcriptomics represents a significant advancement in single-cell analysis by offering both gene expression data and their corresponding physical locations. Ho…