9 citations · 22 across the 14 of their papers we have counts for
14 papers
LPUWF-LDM: Enhanced Latent Diffusion Model for Precise Late-phase UWF-FA Generation on Limited Dataset
Zhaojie Fang, Xiao Yu, Guanyu Zhou +10
Ultra-Wide-Field Fluorescein Angiography (UWF-FA) enables precise identification of ocular diseases using sodium fluorescein, which can be potentially harmful. Existing research ha…
stEnTrans: Transformer-based deep learning for spatial transcriptomics enhancement
Shuailin Xue, Fangfang Zhu, Changmiao Wang +1
The spatial location of cells within tissues and organs is crucial for the manifestation of their specific functions.Spatial transcriptomics technology enables comprehensive measur…
Multimodal contrastive learning for spatial gene expression prediction using histology images
Wenwen Min, Zhiceng Shi, Jun Zhang +2
In recent years, the advent of spatial transcriptomics (ST) technology has unlocked unprecedented opportunities for delving into the complexities of gene expression patterns within…
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…
ICHPro: Intracerebral Hemorrhage Prognosis Classification Via Joint-attention Fusion-based 3d Cross-modal Network
Xinlei Yu, Xinyang Li, Ruiquan Ge +8
Intracerebral Hemorrhage (ICH) is the deadliest subtype of stroke, necessitating timely and accurate prognostic evaluation to reduce mortality and disability. However, the multi-fa…
TC-DiffRecon: Texture coordination MRI reconstruction method based on diffusion model and modified MF-UNet method
Chenyan Zhang, Yifei Chen, Zhenxiong Fan +5
Recently, diffusion models have gained significant attention as a novel set of deep learning-based generative methods. These models attempt to sample data from a Gaussian distribut…