Objects
Largent, Axel, Nunes, Jean-Claude, de Crevoisier, Renaud, Acosta, Oscar, Saint-Jalmes, Hervé, Simon, Antoine, Perichon, Nicholas, Barateau, Anais, Hervé, Chloé, Lafond, Caroline, Greer, Peter B., Dowling, Jason A.. Institute of Electrical and Electronics Engineers (IEEE); 2017. Pseudo-CT generation by conditional inference random forest for MRI-based radiotherapy treatment planning.
Largent, Axel, Barateau, Anais, Nunes, Jean-Claude, Mylona, Eugenia, Castelli, Joel, Lafond, Caroline, Greer, Peter B., Dowling, Jason A., Baxter, John, Saint-Jalmes, Herve, Acosta, Oscar, de Crevoisier, Renaud. Elsevier Inc.; 2019. Comparison of deep learning-based and patch-based methods for pseudo-CT generation in MRI-based prostate dose planning.
Chourak, Hilda, Barateau, Anais, de Crevoisier, Renaud, Acosta, Oscar, Tahri, Safaa, Cadin, Capucine, Lafond, Caroline, Nunes, Jean-Claude, Boue-Rafle, Adrien, Perazzi, Mathias, Greer, Peter B., Dowling, Jason. Frontiers Research Foundation; 2022. Quality assurance for MRI-only radiation therapy: A voxel-wise population-based methodology for image and dose assessment of synthetic CT generation methods.
Chourak, Hilda, Barateau, Anais, Mylona, Eugenia, Cadin, Capucine, Lafond, Caroline, Greer, Peter, Dowling, Jason, Jean-Claude-Nunes,, Crevoisier, Renaud De, Acosta, Oscar. Institute of Electrical and Electronics Engineers (IEEE); 2021. Voxel-wise analysis for spatial characterisation of pseudo-ct errors in MRI-only radiotherapy planning.