Jiaxiang Gou — accepted AI-conference papers

2025

Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational Pathology

Pei Liu, Luping Ji, Jiaxiang Gou, Bo Fu, Mao Ye

ICLR 2025poster

Histopathology Whole-Slide Images (WSIs) provide an important tool to assess cancer prognosis in computational pathology (CPATH). While existing survival analysis (SA) approaches have made exciting progress, they are generally limited to adopting highly-expressive network architectures and only coar…

Cited by 3 Source ↗PDF ↗code ↗Scholar ↗

2025

Queryable Prototype Multiple Instance Learning with Vision-Language Models for Incremental Whole Slide Image Classification

Jiaxiang Gou, Luping Ji, Pei Liu, Mao Ye

AAAI 2025technical

Whole Slide Image (WSI) classification has very significant applications in clinical pathology, e.g., tumor identification and cancer diagnosis. Currently, most research attention is focused on Multiple Instance Learning (MIL) using static datasets. One of the most obvious weaknesses of these method…

Cited by 2 Source ↗PDF ↗code ↗Scholar ↗