AUPA: weakly supervised approach for streamlining breast cancer diagnostic workflow by WSI histological type classification for efficient IHC triage https://www.nature.com/articles/s41598-025-26122-w

CT-based intratumoral heterogeneity quantification fusing deep learning radiomics for predicting lymph node metastasis in early-stage lung adenocarcinoma: a multicenter study https://www.nature.com/articles/s41598-025-26331-3

Cognitive embodied learning for anomaly active target tracking https://www.nature.com/articles/s44172-025-00556-6

SPACEc: a streamlined, interactive Python workflow for multiplexed image processing and analysis https://www.nature.com/articles/s41467-025-65658-3

Low-resolution driver face recognition based on super-resolution and triplet loss https://www.nature.com/articles/s41598-025-24617-0