3D Unsupervised deep learning method for magnetic resonance imaging-to-computed tomography synthesis in prostate radiotherapy

- 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

Computed tomography synthesis from magnetic resonance imaging using cycle Generative Adversarial Networks with multicenter learning

- 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

Determination of acceptable Hounsfield units uncertainties via a sensitivity analysis for an accurate dose calculation in the context of prostate MRI-only radiotherapy

- Chourak, Hilda, Barateau, Anaïs, Greer, Peter, Lafond, Caroline, Nunes, Jean-Claude, de Crevoisier, Renaud, Dowling, Jason, Acosta, Oscar

Pseudo-CT generation for MRI-only radiation therapy treatment planning: comparison among patch-based, atlas-based, and bulk density methods

- Largent, Axel, Barateau, Anaïs, Nunes, Jean-Claude, Lafond, Caroline, Greer, Peter B., Dowling, Jason A., Saint-Jalmes, Hervé, Acosta, Oscar, de Crevoisier, Renaud