Jaume Lab

AI for Oncologic Pathology. Agentic, multimodal and foundational.

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guillaume.jaume@unil.ch
YearTypeTitleAuthorsVenue / Status
2025JournalMolecular-driven Foundation Model for Oncologic PathologyAnurag Vaidya*; Andrew Zhang*; Guillaume Jaume*; Andrew H. Song; Tong Ding; Sophia J. Wagner, et al.In Press
2025JournalMultimodal Whole Slide Foundation Model for PathologyTong Ding; Sophia J. Wagner; Andrew H. Song; Richard J. Chen; Ming Y. Lu; Andrew Zhang, et al.Nature Medicine
2025In ReviewA Foundation Model for Spatial ProteomicsMuhammad Shaban; Yuzhou Chang; Huaying Qiu; Yao Yu Yeo; Andrew H. Song; Guillaume Jaume, et al.In Review
2025Conference (Oral)BKVision: Automated Detection and Morphological Analysis of BK Virus in Renal Transplant BiopsiesSharifa Sahai; (lead); …MICCAI
2024Conference (Spotlight)HEST-1k: A Dataset Integrating Spatial Transcriptomics and Histology Image AnalysisGuillaume Jaume; Paul Doucet; Andrew H. Song; Ming Y. Lu; Cristina Almagro-Pérez; Sophia J. Wagner, et al.NeurIPS
2024Conference (Oral)Transcriptomics-guided Slide Representation Learning in Computational PathologyGuillaume Jaume; Lukas Oldenburg; Anurag Vaidya; Richard J. Chen; Drew F. K. Williamson; Thomas Peeters, et al.CVPR
2024ConferenceModeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival PredictionGuillaume Jaume; Anurag Vaidya; Richard J. Chen; Drew F. K. Williamson; Paul Pu Liang; Faisal Mahmood, et al.CVPR
2024ConferenceMultimodal Prototyping for cancer survival predictionAndrew H. Song; Richard J. Chen; Guillaume Jaume; Anurag Jayant Vaidya; Alexander Baras; Faisal Mahmood, et al.ICML
2024Conference (Oral)Morphological Prototyping for Unsupervised Slide Representation Learning in Computational PathologyAndrew H. Song; Richard J. Chen; Tong Ding; Drew F. K. Williamson; Guillaume Jaume; Faisal Mahmood, et al.CVPR
2024ConferenceMultistain Pretraining for Slide Representation Learning in PathologyGuillaume Jaume; Anurag Vaidya; Andrew Zhang; Andrew H. Song; Richard J. Chen; Sharifa Sahai, et al.ECCV
2024JournalAnalysis of 3D pathology samples using weakly supervised AIAndrew H. Song; (lead); …Cell
2024JournalExamining Demographic Bias in Misdiagnosis by AI-Driven Computational Pathology ModelsAnurag Vaidya; (lead); …Nature Medicine
2024JournalA Visual-Language Foundation Model for Computational PathologyMing Y. Lu; Drew F. K. Williamson; Andrew H. Song; Richard J. Chen; Guillaume Jaume; Anurag Vaidya, et al.Nature Medicine
2024JournalTowards a General-Purpose Foundation Model for Computational PathologyRichard J. Chen; … Guillaume Jaume; Andrew H. Song; Ming Y. Lu; Anurag Vaidya, et al.Nature Medicine
2024In ReviewDeep Learning-based Modeling for Preclinical Drug Safety AssessmentGuillaume Jaume; (lead); …In Review
2024In ReviewAI-driven Discovery of Morphomolecular Signatures in ToxicologyGuillaume Jaume; (lead); …In Review
2023ReviewArtificial Intelligence for Digital and Computational PathologyAndrew H. Song; Guillaume Jaume; Drew F. K. Williamson; Ming Y. Lu; Anurag Vaidya; Tiffany R. Miller, et al.Nature Reviews Bioengineering
2023JournalWeakly Supervised Learning for Joint Whole-Slide Segmentation and Classification in Prostate CancerGuillaume Jaume; (lead); …Medical Image Analysis
2022ConferenceDifferentiable Zooming for Multiple Instance Learning on Whole-Slide ImagesKevin Thandiackal; Boqi Chen; Pushpak Pati; Guillaume Jaume; Drew F. K. Williamson; Maria Gabrani, et al.ECCV
2021JournalHierarchical Graph Representations in Digital PathologyGuillaume Jaume; Pushpak Pati; Antonio Foncubierta-Rodríguez; Florinda Feroce; Anna Maria Anniciello; Tilman Rau, et al.Medical Image Analysis
2021ConferenceQuantifying Explainers of Graph Neural Networks in Computational PathologyGuillaume Jaume; Pushpak Pati; Behzad Bozorgtabar; Antonio Foncubierta-Rodríguez; Florinda Feroce; Anna Maria Anniciello, et al.CVPR