Cited by 4,177Radiomics and Machine Learning in Medical ImagingImage Retrieval and Classification TechniquesArtificial Intelligence in Healthcare and Education

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

Open access
Zwanenburg, Alex, Vallières, Martin, Abdalah, Mahmoud A., Aerts, Hugo J. W. L., Andrearczyk, Vincent, Apte, Aditya, Ashrafinia, Saeed, Bakas, Spyridon +55 more·2020·Radiology

Abstract

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

Integrity signals

Registry

Crossref · 10.1148/radiol.2020191145

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120 of 120 references verified0 citation errors · 0 not checkable

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  • Initiatives such as RQS and Image Biomarker Standardisation Initiative attempt to harmonise radiomic studies and produce results that can be validated and applied to clinical settings.

    “Initiatives such as the RQS [20] and Image Biomarker Standardisation Initiative [49] attempt to harmonise radiomic studies and produce results which can be validated and applied to clinical settings.”

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Authors
Zwanenburg, A., Vallières, M., Abdalah, M. A., Aerts, H. J. W. L., Andrearczyk, V., Apte, A., Ashrafinia, S., Bakas, S., Beukinga, R. J., Boellaard, R., Bogowicz, M., Boldrini, L., Buvat, I., Cook, G. J. R., Davatzikos, C., Depeursinge, A., Desseroit, M.-C., Dinapoli, N., Dinh, C. V., Echegaray, S., El Naqa, I., Fedorov, A. Y., Gatta, R., Gillies, R. J., Goh, V., Götz, M., Guckenberger, M., Ha, S. M., Hatt, M., Isensee, F., Lambin, P., Leger, S., Leijenaar, R. T. H., Lenkowicz, J., Lippert, F., Losnegård, A., Maier-Hein, K. H., Morin, O., Müller, H., Napel, S., Nioche, C., Orlhac, F., Pati, S., Pfaehler, E. A. G., Rahmim, A., Rao, A. U. K., Scherer, J., Siddique, M. M., Sijtsema, N. M., Socarras Fernandez, J., Spezi, E., Steenbakkers, R. J. H. M., Tanadini-Lang, S., Thorwarth, D., Troost, E. G. C., Upadhaya, T., Valentini, V., van Dijk, L. V., van Griethuysen, J., van Velden, F. H. P., Whybra, P., Richter, C., & Löck, S.
Affiliations
German Cancer Research Center (DE)
Venue
Radiology
Published
2020-05
Volume
295
Issue
2
Pages
328-338
ISSN
  • 0033-8419 (ISSN-L)
  • 1527-1315
OpenAlex
W2998789541
Cited by
4,177
References
120
Citations by year
2026: 854 · 2025: 680 · 2024: 678 · 2023: 626 · 2022: 607 · 2021: 476 · 2020: 200 · 2019: 38 · 2018: 6 · 2017: 4
FWCI
233.06
Type
journal article
Language
en
Open access
Locations
  • Radiology (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Research Publications (Maastricht University) (publishedVersion, other-oa)
  • Pure Amsterdam UMC (publishedVersion, other-oa)
  • Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
  • ORCA Online Research @Cardiff (Cardiff University) (acceptedVersion)
  • Zurich Open Repository and Archive (University of Zurich) (acceptedVersion, cc-by-nc-nd)
  • arXiv (Cornell University) (submittedVersion)
  • Leiden Repository (Leiden University) (submittedVersion, cc-by)
  • University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, other-oa)
  • HAL (submittedVersion, other-oa)
  • eScholarship (California Digital Library) (submittedVersion)
  • ArODES (HES-SO (https://www.hes-so.ch/)) (submittedVersion)
  • ORCA Online Research @Cardiff (Cardiff University) (submittedVersion, cc-by-nc-nd)
  • Institutional Research Information System (Università degli Studi di Brescia) (submittedVersion)
  • SERVAL (Université de Lausanne) (submittedVersion)
  • Zurich Open Repository and Archive (University of Zurich) (submittedVersion, cc-by-nc-nd)
  • Research Publications (Maastricht University) (submittedVersion, other-oa)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
  • Zurich Open Repository and Archive (University of Zurich)
Funders
  • Cancer Research UK
  • Engineering and Physical Sciences Research Council (EP/M507842/1)
  • Medical Research Council (C1519/A16463)
  • Seventh Framework Programme (ARTFORCE 257144)
  • European Research Council (ERC AdG-2015: 694812-Hypoximmuno)
  • Eurostars (DART 10116)
  • Horizon 2020 Framework Program (BD2Decide PHC-30?689715)
  • Innovative Medicines Initiative (IMI JU QuIC-ConCePT 115151)
  • Interreg V-A Euregio Meuse-Rhine (Euradiomics)
  • National Cancer Institute (P30CA008748)
  • National Institute of Neurologic Disorders and Stroke (R01NS042645)
  • National Institutes of Health (R01CA198121)
  • Wellcome Trust (WT203148/Z/16/Z)
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiomics and Machine Learning in Medical Imaging
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Retrieval and Classification Techniques
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Keywords
radiomics, standardization, medical image analysis
MeSH terms
Calibration, Humans, Image Processing, Computer-Assisted, Lung Neoplasms, Magnetic Resonance Imaging, Phenotype, Sarcoma, Software, Tomography, X-Ray Computed, Reproducibility of Results, Biomarkers, Phantoms, Imaging, Radiopharmaceuticals, Fluorodeoxyglucose F18, Positron-Emission Tomography

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