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Yonghong He

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Preprint Aug 2026

Learning latent progression states from spatial heterogeneity in uterine histopathology

Tumor progression is accompanied by changes in architecture, morphology and microenvironmental organization, yet progression-associated heterogeneity is usually compressed into static diagnostic categories in histopathology. Here we present SpaTIE, a uterus-specific computational pathology framework that learns morphol...

Qi-Ming He, Yan Liu, Shuang Ge et al. · 0 citations
#machine learning Preprint Sep 2026

SpaFactor: Lightweight Spatial Context-Aware Gene Program Modeling for Histology-to-Transcriptomics Inference

Spatial transcriptomics (ST) profiles gene expression within tissue architecture, but its cost and experimental complexity limit routine use. Predicting spatial expression from routinely available hematoxylin and eosin (HE) images therefore offers a scalable alternative. However, conventional methods often fit high-dim...

Shi-Ting Ruan, Xi-Tong Ling, Qi-Ming He et al. · 0 citations
Preprint Aug 2026

DeCo-MIL: Debiased Counterfactual Reasoning for Long-Tailed Whole Slide Image Analysis

DeCo-MIL is proposed for long-tailed WSI analysis, which jointly alleviates the nested dual long-tail through frequency-debiased counterfactual reasoning and achieves state-of-the-art performance in both tail-class recognition and overall classification.

Xiao-Xiao Li, Xi-Tong Ling, Jiawen Li et al. · 0 citations

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