Ralph T. H. Leijenaar

Maastricht University

Publishes on Radiomics and Machine Learning in Medical Imaging, Advanced X-ray and CT Imaging, Medical Imaging Techniques and Applications. 141 papers and 28.1k citations.

141Publications

28.1kTotal Citations

Radiomics and Machine Learning in Medical Imaging Advanced X-ray and CT Imaging Medical Imaging Techniques and Applications Lung Cancer Diagnosis and Treatment AI in cancer detection

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Top publicationsby citations

Radiomics: Extracting more information from medical images using advanced feature analysis

Philippe Lambin, Emmanuel Rios-Velazquez, Ralph T. H. Leijenaar et al.|European Journal of Cancer|2012

Cited by 5.9kOpen Access

Radiomics: the bridge between medical imaging and personalized medicine

Philippe Lambin, Ralph T. H. Leijenaar, Timo M. Deist et al.|Nature Reviews Clinical Oncology|2017

Cited by 5.5kOpen Access

Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

Hugo J.W.L. Aerts, Emmanuel Rios Velazquez, Ralph T. H. Leijenaar et al.|Nature Communications|2014

Cited by 5.1kOpen Access

The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping

Alex Zwanenburg, Martin Vallières, Mahmoud A. Abdalah et al.|Radiology|2020

Cited by 3.8kOpen Access

See also the editorial by Kuhl and Truhn in this issue.

CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma

Thibaud Coroller, Patrick Großmann, Ying Hou et al.|Radiotherapy and Oncology|2015

Cited by 705Open Access