Mark De Ridder

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 9

Top Topics

Fourier Transform

Top Venues

IEEE Trans. Instrum. Meas.

Medical Imaging: Image Processing

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)
Amir L. Rifi, Inès Dufait, Chaïmae El Aisati, Mark De Ridder, Kurt Barbé
Interpretability and Repeatability of Radiomic Features: Applied on In Vivo Tumor Models. IEEE Trans. Instrum. Meas. 72 (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)
Amir L. Rifi, Inès Dufait, Chaïmae El Aisati, Mark De Ridder, Kurt Barbé
Unraveling the biological meaning of radiomic features. MeMeA (2022)
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)
Elhassan Abdou, Johan de Mey, Mark De Ridder, Jef Vandemeulebroucke
Accurate bolus arrival time estimation using piecewise linear model fitting. Medical Imaging: Image Processing (2017)