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Maxime Sanchez

2 accepted papers

2026

Deep Learning for Bioimaging: What are we actually learning?

ICML 2026poster

Representation learning has driven major advances in natural image analysis by enabling models to acquire high-level semantic features. In microscopy imaging, however, it remains unclear what current representation learning methods actually learn. In this work, we conduct a systematic study of repre…

Cited by 0SourceScholar
2024

ChAda-ViT : Channel Adaptive Attention for Joint Representation Learning of Heterogeneous Microscopy Images

CVPR 2024poster

Unlike color photography images which are consistently encoded into RGB channels biological images encompass various modalities where the type of microscopy and the meaning of each channel varies with each experiment. Importantly the number of channels can range from one to a dozen and their correla…

Cited by 10SourcePDFScholar