Jaume, Guillaume

8 publications

NeurIPS 2024 HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis Guillaume Jaume, Paul Doucet, Andrew H. Song, Ming Y. Lu, Cristina Almagro-Pérez, Sophia J. Wagner, Anurag J. Vaidya, Richard J. Chen, Drew F.K. Williamson, Ahrong Kim, Faisal Mahmood

CVPR 2024 Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction Guillaume Jaume, Anurag Vaidya, Richard J. Chen, Drew F.K. Williamson, Paul Pu Liang, Faisal Mahmood

CVPR 2024 Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology Andrew H. Song, Richard J. Chen, Tong Ding, Drew F.K. Williamson, Guillaume Jaume, Faisal Mahmood

ICML 2024 Multimodal Prototyping for Cancer Survival Prediction Andrew H. Song, Richard J. Chen, Guillaume Jaume, Anurag Jayant Vaidya, Alexander Baras, Faisal Mahmood

ECCV 2024 Multistain Pretraining for Slide Representation Learning in Pathology Guillaume Jaume, Anurag J Vaidya, Andrew Zhang, Andrew Song, Richard J Chen, Sharifa Sahai, Dandan Mo, Emilio Madrigal, Long P Le, Faisal Mahmood

CVPR 2024 Transcriptomics-Guided Slide Representation Learning in Computational Pathology Guillaume Jaume, Lukas Oldenburg, Anurag Vaidya, Richard J. Chen, Drew F.K. Williamson, Thomas Peeters, Andrew H. Song, Faisal Mahmood

ECCV 2022 Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images Kevin Thandiackal, Boqi Chen, Pushpak Pati, Guillaume Jaume, Drew F. K. Williamson, Maria Gabrani, Orcun Goksel

CVPR 2021 Quantifying Explainers of Graph Neural Networks in Computational Pathology Guillaume Jaume, Pushpak Pati, Behzad Bozorgtabar, Antonio Foncubierta, Anna Maria Anniciello, Florinda Feroce, Tilman Rau, Jean-Philippe Thiran, Maria Gabrani, Orcun Goksel