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eess.IV2026
Medical Image Analysis with Machine Learning (MEDiml): Strategies for Simpler Radiomics
Mahdi Ait Lhaj Loutfi, Simon Provost, Élodie Gillard +13
Radiomics extracts quantitative features describing tumor shape, intensity, and texture from medical images to build models that predict clinical outcomes. However, large feature s…
eess.IV2024
Unraveling Radiomics Complexity: Strategies for Optimal Simplicity in Predictive Modeling
Mahdi Ait Lhaj Loutfi, Teodora Boblea Podasca, Alex Zwanenburg +18
Background: The high dimensionality of radiomic feature sets, the variability in radiomic feature types and potentially high computational requirements all underscore the need for…