Camille Raets

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 8

Top Topics

Autoregressive Integrated Moving Average

Fourier Transform

Top Venues

IEEE Instrum. Meas. Mag.

IEEE Trans. Instrum. Meas.

Publications

Amir L. Rifi, Camille Raets, Inès Dufait, Mark De Ridder, Kurt Barbé
Integrating radiomics and immunology: non-invasive assessment of CD8+ T cell levels. I2MTC (2024)
Camille Raets, Chaïmae El Aisati, Amir L. Rifi, Mark De Ridder, Koen Putman, Johan de Mey, Alexandra Sermeus, Kurt Barbé
Optimizing Rectal Cancer Patient Care: Dworak TRG Prediction via Bayesian Evolutionary Fourier-Domain Random Subspace Forest. IEEE Trans. Instrum. Meas. 73 (2024)
Assia Hamitou, Amir L. Rifi, Inès Dufait, Camille Raets, Mark De Ridder, Kurt Barbé
Exploring the Potential of Radiomic Features in Predictive Murine Tumor Growth Modeling. I2MTC (2024)
Kurt Barbé, Karen Pien, Camille Raets, Koen Putman
Education in I&M: Tutorial Paper: Autoregressive Integrated Moving Average Time Series Analysis for Measurement Professionals. IEEE Instrum. Meas. Mag. 26 (4) (2023)
Camille Raets, Chaïmae El Aisati, Amir L. Rifi, Kurt Barbé, Mark De Ridder
Predicting the Response to Chemoradiotherapy in Rectal Cancer Patients Using Bayesian Evolutionary Random Forest and Three-Dimensional Discrete Fourier Transform. MeMeA (2023)
Amir L. Rifi, Febe Geirnaert, Camille Raets, Chaïmae El Aisati, Inès Dufait, Mark De Ridder, Kurt Barbé
Murine in vivo tumor model to explain the interpretability of radiomic features. MeMeA (2023)
Susanne Blotwijk, Camille Raets, Kurt Barbé
Exploratory study on Evolutionary Random Forests for Classification in Medical Datasets. MeMeA (2023)
Camille Raets, Chaïmae El Aisati, Mark De Ridder, Kurt Barbé
Radiomics for the prediction of the regression grade of colorectal cancer: a challenging classification problem. MeMeA (2022)