Romain Fernandez

This paper presents a 3D + t MRI pipeline for non-destructive spatio-temporal phenotyping of fungal spread in grapevine wood, revealing early degradation signals and cultivar-dependent lesion differences.

This paper develops a transformer-based deep learning pipeline to automate aerenchyma quantification in rice roots across environments, achieving expert-level accuracy and supporting climate-smart breeding.