Open research

Stay tuned for new open source and open data announcements!

HEST: A collection of 1,229 spatial transcriptomic profile with matching whole-slide images and extensive metadata. [Code]
HistoCartography: A collection of image-to-graph translation and state-of-the-art graph algorithms for facilitating interpretable entity-based analysis in digital pathology [Code]
BReAst Carcinoma Subtyping (BRACS): A large cohort of H&E stained histopathological images for automated breast cancer diagnosis [Website]
FUNSD: A dataset for Form Understanding in Noisy Scanned Documents [Website]

News

Oct'24 HEST to appear at NeurIPS will be a Spotlight (top 2.0% of submissions).
July'24 Announcing TRACE, our new preprint on toxicity assessment and drug safety!
July'24 Announcing GEESE, our new preprint for multimodal toxicity identification!
July'24 Announcing MADELEINE to appear at ECCV, a multimodal pretraining strategy for slide representation learning. Co-authored with Anurag Vaidya.
May'24 Announcing TriPath published in Cell, the first deep learning framework for 3D pathology. Work led by Andrew H. Song.
May'24 TANGLE to appear at CVPR will be an Oral (top 0.7% of submissions.)
May'24 Announcing MMP to appear at ICML, a multimodal model for survival outcome prediction. Work led by Andrew Song and Richard Chen.
April'24 New Nature Medicine study on fairness in computational pathology. Work led by Anurag Vaidya, Richard Chen and Drew F.K. Williamson.
March'24 Announcing UNI published in Nature Medicine, a generic-purpose foundation model for histology. Work led by Richard Chen.
March'24 Announcing CONCH published in Nature Medicine, a visual-language model for histology. Work led by Ming Y. Lu.
Feb'24 Announcing TANGLE to appear at CVPR, a multimodal pretraining strategy for slide representation learning. Co-authored with Lukas Oldenburg.
Feb'24 Announcing SurvPath to appear at CVPR, multimodal model for survival outcome prediction. Co-authored with Anurag Vaidya.
Feb'24 Announcing PANTHER to appear at CVPR, a model for survival prediction. Work led by Andrew H. Song and Richard Chen.
June’23 New Nature Reviews Bioengineering article on AI for digital and computational Pathology. Co-led with Andrew H. Song.

Guillaume Jaume

Open research

News