Guillaume Jaume
9 papers · 2021–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (22) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer
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Prolific Year · Productive
Top co-authors
Research topics
Deep Learning
(5)
Healthcare & Medicine
(5)
Clinical
(5)
Artificial Intelligence
(4)
Machine Learning
(4)
Core AI
(4)
Learning Types · Deep Learning
(3)
Computer Vision
(2)
Architectures
(2)
Core Methods
(2)
Domain-Specific
(2)
Learning Types · Machine Learning
(2)
Application Areas
(1)
Learning Paradigms
(1)
Research
(1)
Keywords
whole slide image
(5)
computational pathology
(3)
medical imaging
(2)
histology image
(2)
multimodal learning
(1)
explainable ai
(1)
gene expression
(1)
gaussian mixture model
(1)
multimodal representation learning
(1)
foundation model
(1)
multimodal representation
(1)
spatial transcriptomics
(1)
survival prediction
(1)
histopathology image
(1)
multimodal transformer
(1)
breast cancer
(1)
multimodal pretraining
(1)
graph neural network
(1)
gene expression profile
(1)
pathology analysis
(1)
Papers
Automated Detection of BK Virus in H&E Whole-Slide Images Using Weakly-Supervised Deep Learning and Interpretable Morphological Biomarkers
MICCAI 2025
HEST-1k: A Dataset For Spatial Transcriptomics and Histology Image Analysis
NeurIPS 2024
Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction
CVPR 2024
Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology
CVPR 2024
Multimodal Prototyping for cancer survival prediction
ICML 2024
Multistain Pretraining for Slide Representation Learning in Pathology
ECCV 2024
Transcriptomics-guided Slide Representation Learning in Computational Pathology
CVPR 2024
Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images
ECCV 2022
Quantifying Explainers of Graph Neural Networks in Computational Pathology
CVPR 2021