Author

Yu-Hao Yi

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Open access Oct 2026

Knowledge-guided Multimodal Learning for Interpretable Prediction of Pathological Complete Response and Survival in Breast Cancer.

PURPOSE Pretreatment estimation of pathological complete response (pCR) to neoadjuvant chemotherapy may support risk stratification and future response-adapted clinical studies in breast cancer. However, existing deep learning approaches often rely on "black-box" visual pattern recognition, suffering from poor interpre...

Wen-Chuan Zhang, Shu-Wan Zhang, Ya-Ni Wei et al. · Laboratory investigation; a... · 0 citations

#artificial intelligence Review Sep 2026

See, Measure, and Reason: Learning Visually Grounded Reasoning in Pathology

ASECT improves over its backbone on three external pathology benchmarks covering classification and question answering beyond cellular composition tasks, and improves over its backbone on three external pathology benchmarks covering classification and question answering beyond cellular composition tasks.

Cheng-Yang Zhang, Wen-Chuan Zhang, Bo Li et al. · 0 citations

Review Jul 2026

Do Pathology Vision-Language Models Truly See Pathology?

Results show that current pathology VLMs still exhibit a substantial gap between answer-side performance and visual-semantic binding, and this work presents PathBind, a benchmark comprising 2,600 samples that undergoes task-specific automated filtering and expert review to reduce textual shortcuts and improve entity-re...

Cheng-Yang Zhang, Wen-Chuan Zhang, Bo Li et al. · arXiv.org · 3 citations