Baptiste Magnier
5 papers · 2024–2026 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(10)
🚀
Conference Pioneer
Venues
Top co-authors
Research topics
Deep Learning
(2)
Healthcare & Medicine
(2)
Machine Learning
(2)
Clinical
(2)
Learning Types · Deep Learning
(2)
Learning Types · Machine Learning
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Knowledge & Reasoning
(1)
Architectures
(1)
Domain-Specific
(1)
Learning Paradigms
(1)
Models
(1)
Reasoning
(1)
Keywords
graph neural network
(2)
medical imaging
(2)
contrastive learning
(1)
continual learning
(1)
self-supervised learning
(1)
multiple instance learning
(1)
survival analysis
(1)
diffusion model
(1)
domain shift
(1)
whole slide image
(1)
histopathology image
(1)
knowledge retention
(1)
domain incremental learning
(1)
semantic disentangling
(1)
causal inference
(1)
entity graph
(1)
representation learning
(1)
Papers
DK-DDIL: Adaptive Knowledge Retention for Dynamic Domain-Incremental Learning in Medical Imaging
CVPR 2026
C2MIL: Synchronizing Semantic and Topological Causalities in Multiple Instance Learning for Robust and Interpretable Survival Analysis
ICCV 2025
Dynamic Entity-Masked Graph Diffusion Model for Histopathology Image Representation Learning
AAAI 2025
Enhancing WSI-Based Survival Analysis with Report-Auxiliary Self-Distillation
MICCAI 2025
ORCGT: Ollivier-Ricci Curvature-based Graph Model for Lung STAS Prediction
MICCAI 2024