Marleen de Bruijne
玛琳·德布雷内
PhD
Professor of Medical Image Analysis医学图像分析教授
👥Biography 个人简介
Marleen de Bruijne holds dual professorships at Erasmus MC and the University of Copenhagen, and is a leading figure in AI-driven medical image analysis in Europe. Her research spans lung cancer screening CT, shape-based image analysis, and deep learning for quantitative radiology, with significant contributions to the NELSON lung cancer screening trial's image analysis infrastructure.
🧪Research Fields 研究领域
🎓Key Contributions 主要贡献
NELSON Trial Image Analysis
Developed and applied AI image analysis methods for the NELSON lung cancer CT screening trial, the largest randomized European study demonstrating mortality reduction from low-dose CT screening.
Shape Analysis and Segmentation
Advanced statistical shape model and deep learning approaches for organ and lesion segmentation in cancer imaging, enabling robust volumetric quantification in clinical workflows.
Representative Works 代表性著作
Automated Measurement of Pulmonary Arterial Enlargement on Low-Dose CT for Lung Cancer Screening
Radiology (2018)
AI-based measurement of pulmonary artery size from screening CT as an imaging biomarker for cardiovascular risk.
Machine Learning for CT-Based Pulmonary Nodule Management
European Radiology (2020)
Systematic evaluation of machine learning for lung nodule malignancy risk stratification in screening settings.
🏆Awards & Recognition 奖项与荣誉
📄Data Sources 数据来源
Last updated: 2026-01-15 | All information from publicly available academic sources
Related Experts 相关专家
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