1 citations · 1 across the 3 of their papers we have counts for
3 papers
eess.IV2025
Z-Stack Scanning can Improve AI Detection of Mitosis: A Case Study of Meningiomas
Hongyan Gu, Ellie Onstott, Wenzhong Yan +5
Z-stack scanning is an emerging whole slide imaging technology that captures multiple focal planes alongside the z-axis of a glass slide. Because z-stacking can offer enhanced dept…
cs.CV2024
Supporting Mitosis Detection AI Training with Inter-Observer Eye-Gaze Consistencies
Hongyan Gu, Zihan Yan, Ayesha Alvi +6
The expansion of artificial intelligence (AI) in pathology tasks has intensified the demand for doctors' annotations in AI development. However, collecting high-quality annotations…
cs.GT2024★ 1 cited
Population-aware Online Mirror Descent for Mean-Field Games by Deep Reinforcement Learning
Zida Wu, Mathieu Lauriere, Samuel Jia Cong Chua +3
Mean Field Games (MFGs) have the ability to handle large-scale multi-agent systems, but learning Nash equilibria in MFGs remains a challenging task. In this paper, we propose a dee…