9 citations · 9 across the 9 of their papers we have counts for
4 papers · 1 filter
HiFusion: Hierarchical Intra-Spot Alignment and Regional Context Fusion for Spatial Gene Expression Prediction from Histopathology
Ziqiao Weng, Yaoyu Fang, Jiahe Qian +4
Spatial transcriptomics (ST) bridges gene expression and tissue morphology but faces clinical adoption barriers due to technical complexity and prohibitive costs. While computation…
Learning from Gene Names, Expression Values and Images: Contrastive Masked Text-Image Pretraining for Spatial Transcriptomics Representation Learning
Jiahe Qian, Yaoyu Fang, Ziqiao Weng +3
Spatial transcriptomics aims to connect high-resolution histology images with spatially resolved gene expression. To achieve better performance on downstream tasks such as gene exp…
FedSKD: Aggregation-free Model-heterogeneous Federated Learning via Multi-dimensional Similarity Knowledge Distillation for Medical Image Classification
Ziqiao Weng, Weidong Cai, Bo Zhou
Federated learning (FL) enables privacy-preserving collaborative model training without direct data sharing. Model-heterogeneous FL (MHFL) extends this paradigm by allowing clients…
Efficient 4D fMRI ASD Classification using Spatial-Temporal-Omics-based Learning Framework
Ziqiao Weng, Weidong Cai, Bo Zhou
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder impacting social and behavioral development. Resting-state fMRI, a non-invasive tool for capturing brain connectivit…