Pierre-Henri Conze

Quantitative prediction of toxicological points of departure using two-stage machine learning models: A new approach methodology (NAM) for chemical risk assessment

Integration of 168,000 samples reveals global patterns of the human gut microbiome

Automatic detection of rare pathologies in fundus photographs using few-shot learning

Scale-adaptive supervoxel-based random forests for liver tumor segmentation in dynamic contrast-enhanced CT scans