Author

Wen-Chuan Zhang

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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?

Pathology vision-language models (VLMs) have recently progressed rapidly and are commonly evaluated by answer accuracy on pathology VQA benchmarks. However, we dig into current evaluations and identify three overlooked issues: 1) Visual evidence is not always necessary. For instance, Gemini-3-Pro achieves 53.5% average...

Chengyang Zhang, Wenchuan Zhang, Bo Li et al. · 2 citations