Showing items 1 - 12 of 12

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

A deep learning model to generate synthetic CT for prostate MR-only radiotherapy dose planning: a multicenter study

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

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

Image synthesis for MRI-only radiotherapy treatment planning

Quality assurance for MRI-only radiation therapy: A voxel-wise population-based methodology for image and dose assessment of synthetic CT generation methods

Voxel-wise analysis for spatial characterisation of pseudo-ct errors in MRI-only radiotherapy planning

Rectal and Urethro-Vesical Subregions for Toxicity Prediction After Prostate Cancer Radiation Therapy: Validation of Voxel-Based Models in an Independent Population

Comparison of deep learning-based and patch-based methods for pseudo-CT generation in MRI-based prostate dose planning

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

Pseudo-CT generation for MRI-only radiotherapy: comparative study between a generative adversarial network, a U-Net network, a patch-based, and an atlas based methods

Pseudo-CT generation by conditional inference random forest for MRI-based radiotherapy treatment planning

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