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, Anaïs, Nunes, Jean-Claude, Lafond, Caroline, Greer, Peter B., Dowling, Jason A., Saint-Jalmes, Hervé, Acosta, Oscar, de Crevoisier, Renaud. Elsevier; 2019. Pseudo-CT generation for MRI-only radiation therapy treatment planning: comparison among patch-based, atlas-based, and bulk density methods.
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.
Chourak, Hilda, Barateau, Anaïs, Greer, Peter, Lafond, Caroline, Nunes, Jean-Claude, de Crevoisier, Renaud, Dowling, Jason, Acosta, Oscar. Springer; 2023. Determination of acceptable Hounsfield units uncertainties via a sensitivity analysis for an accurate dose calculation in the context of prostate MRI-only radiotherapy.
Tahri, Safaa, Texier, Blanche, Acosta, Oscar, Bessieres, Igor, Marage, Louis, Boue-Rafle, Adrien, De Crevoisier, Renaud, Lafond, Caroline, Barateau, Anais, Nunes, Jean-Claude, Hémon, Cédric, Lekieffre, Pauline, Collot, Emma, Chourak, Hilda, Le Guevelou, Jennifer, Greer, Peter, Dowling, Jason. Frontiers Research Foundation; 2023. A deep learning model to generate synthetic CT for prostate MR-only radiotherapy dose planning: a multicenter study.
Texier, Blanche, Hémon, Cédric, Boue-Rafle, Adrien, Le Guevelou, Jennifer, de Crevoisier, Renaud, Lafond, Caroline, Castelli, Joël, Barateau, Anaïs, Nunes, Jean-Claude, Lekieffre, Pauline, Collot, Emma, Tahri, Safaa, Chourak, Hilda, Dowling, Jason, Greer, Peter, Bessieres, Igor, Acosta, Oscar. Elsevier; 2023. Computed tomography synthesis from magnetic resonance imaging using cycle Generative Adversarial Networks with multicenter learning.
Texier, Blanche, Hémon, Cédric, Castelli, Joël, Barateau, Anaïs, Nunes, Jean-Claude, Queffélec, Adélie, Dowling, Jason, Bessieres, Igor, Greer, Peter, Acosta, Oscar, Boue-Rafle, Adrien, de Crevoisier, Renaud, Lafond, Caroline. Elsevier; 2024. 3D Unsupervised deep learning method for magnetic resonance imaging-to-computed tomography synthesis in prostate radiotherapy.