Author

Messi H.J. Lee

Washington University in St.Louis

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Open access Oct 2026

Deep learning-based mitotic quantification for objective adjunct for grading of urothelial carcinoma: a multi-institutional validation study

Histological grading of urothelial carcinoma is subject to interobserver variability. We evaluated whether artificial intelligence (AI)-based whole-slide mitotic quantification provides an objective adjunct to histological grading. We developed and validated a deep learning-based mitotic detection framework trained...

Messi H.J. Lee, Jae-Myung Jang, Jangwon Seo et al. · Scientific Reports · 0 citations

Preprint Jul 2026

Toward a social psychology of AI: language-model agents reproduce human-like minimal-group bias

These open-weight reasoning models reproduce the behavioural signature of human intergroup discrimination, independent of stereotype content, and social psychology's theories and methods offer a paradigm for measuring and governing AI's social behaviour.

Messi H.J. Lee · 1 citation

#artificial intelligence Preprint Sep 2026

Benchmarking Vision-Language Models for Automated Pathology Diagnosis and Report Generation

A clinically curated Pan-Asia WSI--report dataset is introduced and the REG 2025 benchmark is established as a benchmark for evaluating WSI-based structured report generation and vision-language understanding in computational pathology, providing insights for the design of clinically grounded multimodal pathology model...

Yu-Mi Lee, Harim Oh, Hyo-yun Kim et al. · 0 citations