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Philippe Lambin

Researcher at Maastricht University

Publications -  829
Citations -  55980

Philippe Lambin is an academic researcher from Maastricht University. The author has contributed to research in topics: Radiation therapy & Medicine. The author has an hindex of 100, co-authored 785 publications receiving 45034 citations. Previous affiliations of Philippe Lambin include Université de Namur & University of Liège.

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Radiomics: extracting more information from medical images using advanced feature analysis.

TL;DR: Radiomics--the high-throughput extraction of large amounts of image features from radiographic images--addresses this problem and is one of the approaches that hold great promises but need further validation in multi-centric settings and in the laboratory.
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Radiomics: the bridge between medical imaging and personalized medicine

TL;DR: Radiomics, the high-throughput mining of quantitative image features from standard-of-care medical imaging that enables data to be extracted and applied within clinical-decision support systems to improve diagnostic, prognostic, and predictive accuracy, is gaining importance in cancer research as mentioned in this paper.
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Radiomics: the process and the challenges

TL;DR: "Radiomics" refers to the extraction and analysis of large amounts of advanced quantitative imaging features with high throughput from medical images obtained with computed tomography, positron emission tomography or magnetic resonance imaging, leading to a very large potential subject pool.
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The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping

Alex Zwanenburg, +70 more
- 01 May 2020 - 
TL;DR: A set of 169 radiomics features was standardized, which enabled verification and calibration of different radiomics software and could be excellently reproduced.