collaborators

6 papers

cs.CV2026

A Pathology Foundation Model for Gastric Cancer with Real-World Validation

Ling Liang, Jiabo Ma, Zhengyu Zhang +25

Gastric cancer remains a major cause of cancer mortality, yet its histological and molecular heterogeneity complicates diagnosis and risk stratification. General-purpose pathology…

cs.LG2026

Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model

Fengtao Zhou, Yingxue Xu, Zhengyu Zhang +20

Comprehensive molecular profiling is essential for modern precision oncology but remains hindered by prohibitive costs, specimen exhaustion, and protracted turnaround times. While…

eess.IV2026

A Clinically Validated Foundation Model for Comprehensive Lung Pathology Interpretation

Zhengrui Guo, Zhengyu Zhang, Jiabo Ma +23

Pathological assessment guides lung cancer diagnosis, treatment selection, and prognostic evaluation, yet current CPath approaches rely on task-specific models for isolated objecti…

cs.CV2026

OSS: Open Suturing Skills Vision-Based Assessment Challenge 2024-2025

Hanna Hoffmann, Setareh Bady, Claas de Boer +54

Achieving high levels of surgical skill through effective training is essential for optimal patient outcomes. Automated, data-driven skill assessment holds significant potential to…

cs.CV2026

A Breast Vision Pathology Foundation Model for Real-world Clinical Utility

Yingxue Xu, Zhengyu Zhang, Xiuming Zhang +32

Pathology foundation models have shown strong retrospective performance, but whether such systems can support clinically relevant use remains unclear. This challenge is particularl…

cs.CV2025

PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology

Jiabo Ma, Yingxue Xu, Fengtao Zhou +23

The emergence of pathology foundation models has revolutionized computational histopathology, enabling highly accurate, generalized whole-slide image analysis for improved cancer d…