Antoine Borensztejn

SubCellSeg is a 3D segmentation model that outperforms structure-specific models by jointly training on diverse subcellular structures and achieving zero-shot generalization.

The paper presents a hiPS cell model to study EMTs by comparing 2D and 3D cultures, measuring changes in cell function, markers, organization, and environment.

This paper introduces a morphology-appropriate representation learning framework for 3D multi-piece intracellular structures, showing improved sub-cluster discovery and phenotypic profiling.