Open-radiomics: a collection of standardized datasets and a technical protocol for reproducible radiomics machine learning pipelines

Authors

Farzad Khalvati (ORCID: https://orcid.org/0000-0001-5616-8660)
Matthias Wagner (ORCID: https://orcid.org/0000-0001-6501-839X)
Birgit Betina Ertl-Wagner (ORCID: https://orcid.org/0000-0001-5306-7549)
Khashayar Namdar

Institutions

University of Toronto (CA)
University Hospital Augsburg (DE)
Mental Health Research Canada (CA)
Vector Institute (CA)
SickKids Foundation (CA)

Publication Details

Journal: BMC Medical Imaging
Published: 2025-08-04
DOI: https://doi.org/10.1186/s12880-025-01855-2
Citations: 3
Primary Topic: Radiomics and Machine Learning in Medical Imaging
Type: article
Field-Weighted Citation Impact: 4.08

Funders

Canadian Institutes of Health Research

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article

Open-radiomics: a collection of standardized datasets and a technical protocol for reproducible radiomics machine learning pipelines

Farzad Khalvati, Matthias Wagner, Birgit Betina Ertl-Wagner, Khashayar Namdar

Aug 4, 2025

3 citations

BMC Medical Imaging

Radiomics and Machine Learning in Medical Imaging

4.08

article

Open-radiomics: a collection of standardized datasets and a technical protocol for reproducible radiomics machine learning pipelines

Farzad Khalvati, Matthias Wagner, Birgit Betina Ertl-Wagner, Khashayar Namdar

August 4, 2025article en

3 citations

Abstract

No abstract available for this paper.

BMC Medical ImagingVol. 25(1)

University of Toronto (CA), University Hospital Augsburg (DE), Mental Health Research Canada (CA), Vector Institute (CA), SickKids Foundation (CA)

Canadian Institutes of Health Research

Openalex Percentile: Top 6%

Radiomics and Machine Learning in Medical Imaging

4.08

DOI Open Access PDF OpenAlex

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Open-radiomics: a collection of standardized datasets and a technical protocol for reproducible radiomics machine learning pipelines — Farzad Khalvati, Matthias Wagner, et al. · BMC Medical Imaging (2025) | TGRS Research Map | TGRS