Radiomics for the prediction of the regression grade of colorectal cancer: a challenging classification problem. - Camille Raets; Chaïmae El Aisati; Mark De Ridder; Kurt Barbé (MeMeA, 2022)

Exploratory study on Evolutionary Random Forests for Classification in Medical Datasets. - Susanne Blotwijk; Camille Raets; Kurt Barbé (MeMeA, 2023)

Predicting the Response to Chemoradiotherapy in Rectal Cancer Patients Using Bayesian Evolutionary Random Forest and Three-Dimensional Discrete Fourier Transform. - Camille Raets; Chaïmae El Aisati; Amir L. Rifi; Kurt Barbé; Mark De Ridder (MeMeA, 2023)

Murine in vivo tumor model to explain the interpretability of radiomic features. - Amir L. Rifi; Febe Geirnaert; Camille Raets; Chaïmae El Aisati; Inès Dufait; Mark De Ridder; Kurt Barbé (MeMeA, 2023)

Education in I&M: Tutorial Paper: Autoregressive Integrated Moving Average Time Series Analysis for Measurement Professionals. - Kurt Barbé; Karen Pien; Camille Raets; Koen Putman (IEEE Instrum. Meas. Mag., 2023)

Exploring the Potential of Radiomic Features in Predictive Murine Tumor Growth Modeling. - Assia Hamitou; Amir L. Rifi; Inès Dufait; Camille Raets; Mark De Ridder; Kurt Barbé (I2MTC, 2024)

Integrating radiomics and immunology: non-invasive assessment of CD8+ T cell levels. - Amir L. Rifi; Camille Raets; Inès Dufait; Mark De Ridder; Kurt Barbé (I2MTC, 2024)

Optimizing Rectal Cancer Patient Care: Dworak TRG Prediction via Bayesian Evolutionary Fourier-Domain Random Subspace Forest. - Camille Raets; Chaïmae El Aisati; Amir L. Rifi; Mark De Ridder; Koen Putman; Johan de Mey; Alexandra Sermeus; Kurt Barbé (IEEE Trans. Instrum. Meas., 2024)

Integrating radiomics and immunology: Non-invasive assessment of intratumoral CD8+ T cell levels in murine models. - Amir L. Rifi; Camille Raets; Inès Dufait; Mark De Ridder; Kurt Barbé (Comput. Biol. Medicine, 2025)