Prognostic assessment via whole-slide images (WSIs) is a key task in computational pathology. However, the development of robust predictive models is often bottlenecked by the scarcity of survival-annotated data, given the longitudinal nature of clinical follow-up. Despite its potential, semi-supervised learning (SSL)...
Yi Huang, Ling-Han Cai, Zi-Liang Feng et al.· Medical Image Analysis· 0 citations
Spatial omics technologies provide unprecedented opportunities to investigate how molecular programs are organized within tissues. However, existing analytical frameworks primarily focus on identifying cellular states and characterizing differentially expressed molecular features across these states. The relational spa...
Qi Zou, Zhi-Kang Wang, Si-Jie Li et al.· bioRxiv· 0 citations
ABSTRACT Stroke remains a leading cause of long‐term neurological disability worldwide, largely due to irreversible neuronal loss and the limited regenerative capacity of the adult mammalian brain. Neural stem cells (NSCs) in the adult brain possess the potential to generate new neurons after injury, yet the molecular...
Ruo-Lin Zhang, Chang Liu, Yu-Neng Zhou et al.· Advancement of science· 0 citations
CarHE (contrastive alignment of gene expression for hematoxylin and eosin images), a multimodal pretraining framework that infers high-dimensional spatial transcriptomic profiles from routine H&E-stained slides, provides a cost-effective and scalable framework for H&E-based spatial inference, supporting further validat...
Jiawei Zou, Kai Xiao, Ze-Xi Chen et al.· Cancer Research· 0 citations
PXDepth is a discriminative monocular depth model that separates global context modeling from pixel-level depth prediction, and combines faithful local geometry with competitive global depth accuracy while remaining efficient at inference.
Zhi-Yuan Yuan, Guanying Chen, Lingteng Qiu et al.· 1 citation
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