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AI in Cancer Research / AI+癌症研究Computational Pathology

Hugo J.W.L. Aerts

Ph.D.

🏢Harvard Medical School / Maastricht University🌐USA/Netherlands

Director, Artificial Intelligence in Medicine Program

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Key Papers
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Key Contributions

👥Biography 个人简介

Hugo Aerts is a pioneer in radiomics and AI for oncology who has developed methods for extracting prognostic and predictive features from medical images. His work has demonstrated that radiomic features can reveal tumor biology and predict treatment response across multiple cancer types. Aerts leads efforts to integrate imaging AI into clinical oncology practice.

Hugo Aerts是影像组学和肿瘤学AI的先驱,开发了从医学图像中提取预后和预测特征的方法。他的工作表明,影像组学特征可以揭示肿瘤生物学并预测多种癌症类型的治疗反应。Aerts领导将影像AI整合到临床肿瘤学实践中的工作。

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🧪Research Fields 研究领域

Radiomics影像组学
AI in Oncology肿瘤学AI
Medical Imaging医学影像

🎓Key Contributions 主要贡献

Radiomics Signature

Developed radiomic signatures predicting survival across cancer types.

Deep Learning Imaging

Applied deep learning to CT and PET imaging for cancer outcome prediction.

Representative Works 代表性著作

[1]

Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

Nature Communications (2014)

Landmark paper establishing radiomics prognostic value.

📄Data Sources 数据来源

Last updated: 2026-03-05 | All information from publicly available academic sources

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