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Hugues Talbot

5 papers · 2021–2025 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird 🚀 Conference Pioneer

Venues

AAAI (2) MICCAI (2) MIDL (1)

Top co-authors

Yoshinobu Sato (2) Leonard Boussioux (2) Yoshito Otake (2) Yi Gu (2) Brice Rauby (2) Charles A. Kantor (2) Keisuke Uemura (2) Sabrina Lynch (1) Raoul Sallé de Chou (1) Seiji Okada (1)

Research topics

Deep Learning (3) Machine Learning (3) Computer Vision (2) Analysis (2) Architectures (2) Techniques (2) Healthcare & Medicine (1) Application Areas (1) Clinical (1) Core Methods (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Optimization & Theory (1)

Keywords

image classification (1) semantic segmentation (1) uncertainty quantification (1) medical imaging (1) attention mechanism (1) fine-grained recognition (1) uncertainty estimation (1) confidence estimation (1) confidence measure (1) graph neural network (1) neural network (1) spatial attention (1) structural attention (1) classification confidence (1) structural attention mechanism (1) segmentation method (1) darcy equations (1) finite volume (1) myocardial perfusion (1) pdes (1)

Papers

Estimating Bone Mineral Density and Muscle Mass from EOS Low Dose X-ray Imaging System MICCAI 2025 3DDX: Bone Surface Reconstruction from a Single Standard-Geometry Radiograph via Dual-Face Depth Estimation MICCAI 2024 Finite Volume Informed Graph Neural Network for Myocardial Perfusion Simulation MIDL 2024 Gradient-Based Localization and Spatial Attention for Confidence Measure in Fine-Grained Recognition using Deep Neural Networks AAAI 2021 Over-MAP: Structural Attention Mechanism and Automated Semantic Segmentation Ensembled for Uncertainty Prediction AAAI 2021