METhodological RadiomICs Score (METRICS)
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Cites
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Claims the paper makes
Cites
Kocak, B., Baessler, B., Bakas, S., Cuocolo, R., Fedorov, A., Maier-Hein, L., Mercaldo, N., Müller, H., Orlhac, F., Pinto dos Santos, D., et al. (2023) · Insights into Imaging · doi:10.1186/s13244-023-01415-8 · Cited by 471 · see citing works
Koçak, B., D’Antonoli, T. A., Mercaldo, N. D., Alberich‐Bayarri, Á., Baeßler, B., Ambrosini, I., Андрейченко, А. Е., Bakas, S., Beets‐Tan, R. G. H., Bressem, K. K., et al. (2024) · Insights into Imaging · doi:10.1186/s13244-023-01572-w · Cited by 309 · see citing works
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Koçak, B., Ponsiglione, A., Stanzione, A., Bluethgen, C., Santinha, J., Ugga, L., Huisman, M., Klontzas, M. E., Cannella, R., & Cuocolo, R. (2024) · Diagnostic and Interventional Radiology · doi:10.4274/dir.2024.242854 · Cited by 168 · see citing works
Exploring radiomics research quality scoring tools: a comparative analysis of METRICS and RQS
Koçak, B., D’Antonoli, T. A., & Cuocolo, R. (2024) · Diagnostic and Interventional Radiology · doi:10.4274/dir.2024.242793 · Cited by 15 · see citing works
Koçak, B., Keleş, A., & Köse, F. (2024) · Diagnostic and Interventional Radiology · doi:10.4274/dir.2024.232604 · Cited by 12 · see citing works
Self-citationTriantafyllou, M., Vassalou, E. E., Klontzas, M. E., Tosounidis, T. H., Kostas Marias, A., & Karantanas, A. H. (2025) · Japanese Journal of Radiology · doi:10.1007/s11604-024-01725-x · Cited by 3 · see citing works
Gao, F., Fu, L., Zhang, Z., Li, Y., Zhang, Z., Zhang, Y., Zhang, Y., Shi, J., & Cheng, J. (2025) · European Journal of Radiology Open · doi:10.1016/j.ejro.2025.100661 · Cited by 1 · see citing works
- Authors
- Kocak, B., & Knipe, H.
- Venue
- Radiopaedia.org
- Publisher
- Radiopaedia.org
- Published
- 2024-05-06
- OpenAlex
- W4396661359
- Cited by
- 6
- References
- 2
- Citations by year
- 2025: 2 · 2024: 4
- Type
- reference entry
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc-sa
- Locations
- Radiopaedia.org (publishedVersion, cc-by-nc-sa)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiomics and Machine Learning in Medical Imaging
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiology practices and education
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Medical Imaging Techniques and Applications
- Keywords
- metrics, radiomics, methodological quality assessment, reproducibility, robustness, generalizability, feature selection, feature extraction and selection
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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