Mark De Ridder

According to our database, Mark De Ridder authored at least 9 papers between 2017 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

Interpretability and Repeatability of Radiomic Features: Applied on In Vivo Tumor Models.

Amir L. Rifi, Inès Dufait, Chaïmae El Aisati, Mark De Ridder, Kurt Barbé

IEEE Trans. Instrum. Meas., 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

2022

Unraveling the biological meaning of radiomic features.

Amir L. Rifi, Inès Dufait, Chaïmae El Aisati, Mark De Ridder, Kurt Barbé

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

2017

Accurate bolus arrival time estimation using piecewise linear model fitting.

Elhassan Abdou, Johan de Mey, Mark De Ridder, Jef Vandemeulebroucke

Proceedings of the Medical Imaging 2017: Image Processing, 2017