Author

Pheng-Ann Heng

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Preprint Sep 2026

Towards Scalable Context-Aware Single-Cell Spatial Transcriptomics Prediction from Histology Images

Predicting gene expression from H&E-stained histology images offers a scalable alternative to costly spatial transcriptomics, yet most existing methods operate at the spot level, where signals from multiple cells are aggregated and critical cellular heterogeneity is obscured. Extending this paradigm to single-cell reso...

Zi-Jun Gao, Chun-Bin Gu, Jin-Xi Xiang et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Bridging Vision Foundation Model Priors with CLIP for Spatial-aware Few-shot Anomaly Detection in Medical Images

Vision-Language Models such as CLIP enable effective few-shot medical anomaly detection (AD) via strong image-text semantic alignment. However, their globally contrastive pretraining lacks explicit spatial supervision, limiting precise lesion localization. In contrast, Vision Foundation Models (VFMs) such as DINO learn...

Juzheng Miao, Yu-Chen Yuan, Cheng Chen et al. · 0 citations

Jul 2026

HiVLR: Hierarchical Vision-Language Reasoning for interpretable zero-shot radiography image understanding

This work revisits how human doctors reason from a patient's radiology image for diagnosis, and proposes a Hierarchical Vision-Language Reasoning (HiVLR) framework based on the clinical diagnostic workflow, and attaches a concept-based interpretable diagnosis block to improve the accuracy and interpretability in downst...

Xilin Dang, Kang Li, Pheng-Ann Heng · Medical Image Anal. · 0 citations