Camille Raets

According to our database, Camille Raets authored at least 8 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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 CD8+ T cell levels.

Amir L. Rifi, Camille Raets, Inès Dufait, Mark De Ridder, Kurt Barbé

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024

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

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024

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., June, 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

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 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

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2023

Exploratory study on Evolutionary Random Forests for Classification in Medical Datasets.

Susanne Blotwijk, Camille Raets, Kurt Barbé

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2023

2022

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

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2022