Y. R. Chung

The paper describes a novel bacterial strain, Rugositalea oryzae, isolated from rice rhizosphere that exhibits morphological changes under nutrient stress.

This study compares high- and low-level deep learning approaches for microsatellite instability prediction using TCGA data, finding the high-level approach superior and identifying key morphological features.

This paper introduces metrics to group pathology cohorts for deep learning cancer diagnosis, balancing model count and performance without linearly increasing models with cohort numbers.