JournalMolecular-driven Foundation Model for Oncologic Pathology
Anurag Vaidya*; Andrew Zhang*; Guillaume Jaume*; Andrew H. Song; Tong Ding; Sophia J. Wagner, et al.
In Press
2025
JournalMultimodal Whole Slide Foundation Model for Pathology
Tong Ding; Sophia J. Wagner; Andrew H. Song; Richard J. Chen; Ming Y. Lu; Andrew Zhang, et al.
In Press
2025
In ReviewA Foundation Model for Spatial Proteomics
Muhammad Shaban; Yuzhou Chang; Huaying Qiu; Yao Yu Yeo; Andrew H. Song; Guillaume Jaume, et al.
2025
Conference Oral
BKVision: Automated Detection and Morphological Analysis of BK Virus in Renal Transplant Biopsies
Sharifa Sahai; (lead); …
MICCAI
2025
Conference Spotlight
HEST-1k: A Dataset Integrating Spatial Transcriptomics and Histology Image Analysis
Guillaume Jaume; Paul Doucet; Andrew H. Song; Ming Y. Lu; Cristina Almagro-Pérez; Sophia J. Wagner, et al.
NeurIPS
2024
Conference Oral
Transcriptomics-guided Slide Representation Learning in Computational Pathology
Guillaume Jaume; Lukas Oldenburg; Anurag Vaidya; Richard J. Chen; Drew F. K. Williamson; Thomas Peeters, et al.
CVPR
2024
Conference
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, et al.
CVPR
2024
Conference
Multimodal Prototyping for cancer survival prediction
Andrew H. Song; Richard J. Chen; Guillaume Jaume; Anurag Jayant Vaidya; Alexander Baras; Faisal Mahmood, et al.
ICML
2024
Conference Oral
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, et al.
CVPR
2024
ConferenceMultistain Pretraining for Slide Representation Learning in Pathology
Guillaume Jaume; Anurag Vaidya; Andrew Zhang; Andrew H. Song; Richard J. Chen; Sharifa Sahai, et al.
ECCV
2024
JournalAnalysis of 3D pathology samples using weakly supervised AI
Andrew H. Song; (lead); …
Cell
2024
JournalExamining Demographic Bias in Misdiagnosis by AI-Driven Computational Pathology Models
Anurag Vaidya; (lead); …
Nature Medicine
2024
JournalA Visual-Language Foundation Model for Computational Pathology
Ming Y. Lu; Drew F. K. Williamson; Andrew H. Song; Richard J. Chen; Guillaume Jaume; Anurag Vaidya, et al.
Nature Medicine
2024
JournalTowards a General-Purpose Foundation Model for Computational Pathology
Richard J. Chen; … Guillaume Jaume; Andrew H. Song; Ming Y. Lu; Anurag Vaidya, et al.
Nature Medicine
2024
In ReviewDeep Learning-based Modeling for Preclinical Drug Safety Assessment
Guillaume Jaume; (lead); …
2024
In ReviewAI-driven Discovery of Morphomolecular Signatures in Toxicology
Guillaume Jaume; (lead); …
2024
ReviewArtificial Intelligence for Digital and Computational Pathology
Andrew H. Song; Guillaume Jaume; Drew F. K. Williamson; Ming Y. Lu; Anurag Vaidya; Tiffany R. Miller, et al.
Nature Reviews Bioengineering
2023
JournalWeakly Supervised Learning for Joint Whole-Slide Segmentation and Classification in Prostate Cancer
Guillaume Jaume; (lead); …
Medical Image Analysis
2023
Conference
Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images
Kevin Thandiackal; Boqi Chen; Pushpak Pati; Guillaume Jaume; Drew F. K. Williamson; Maria Gabrani, et al.
ECCV
2022
JournalHierarchical Graph Representations in Digital Pathology
Guillaume Jaume; Pushpak Pati; Antonio Foncubierta-Rodríguez; Florinda Feroce; Anna Maria Anniciello; Tilman Rau, et al.
Medical Image Analysis
2021
Conference
Quantifying Explainers of Graph Neural Networks in Computational Pathology
Guillaume Jaume; Pushpak Pati; Behzad Bozorgtabar; Antonio Foncubierta-Rodríguez; Florinda Feroce; Anna Maria Anniciello, et al.
CVPR
2021
