Feature Reliability Analysis
Feature Reliability Analysis is a methodological framework within feature stability analysis that systematically assesses the consistency and reproducibility of feature importance or selection across varying conditions, datasets, or models to determine the trustworthiness of features in predictive or explanatory contexts.
9
Publications
554
Citations
44
Authors
18
Institutions
Publications per year
2017–2026
5
Parents
9
Assessing radiomic feature robustness to interpolation in 18F-FDG PET imaging
P. Whybra, Craig Parkinson, Kieran Foley et al. · Scientific Reports · 2019 · 82 citations · Full text
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University of Southern California
Los Angeles, United States
1 h-index
1 publications
26 citations
Hong Kong Sanatorium and Hospital
Hong Kong, Hong Kong
1 h-index
7 publications
245 citations
Spital STS
Zweisimmen, Switzerland
1 h-index
1 publications
203 citations
Université de Lorraine
Nancy, France
1 h-index
4 publications
104 citations
Cardiff University
Cardiff, United Kingdom
1 h-index
3 publications
246 citations
Emory University
Atlanta, United States
1 h-index
8 publications
240 citations
The Christie NHS Foundation Trust
Manchester, United Kingdom
1 h-index
4 publications
812 citations
Huaiyin Institute of Technology
Huai'an, China
1 h-index
1 publications
26 citations
1–8 of 18
2 publications · 112 citations
2
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1 publications · 26 citations
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1 publications · 105 citations
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1 publications · 26 citations
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1 publications · 203 citations
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