Generating synthetic images from cone beam computed tomography using self-attention residual UNet for head and neck radiotherapy

Deep Residual Learning for Image Recognition

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Image Classification, Deep Neural Networks, Machine Vision +14

Evaluation of the gamma dose distribution comparison method

Daniel A. Low, James F. Dempsey · Medical Physics · 2003 · 747 citations

Generating synthesized computed tomography (CT) from cone-beam computed tomography (CBCT) using CycleGAN for adaptive radiation therapy

Physics in Medicine and Biology · 2019 · 250 citations · Full text

Computed Tomography, Engineering, Machine Learning +17

Paired cycle‐GAN‐based image correction for quantitative cone‐beam computed tomography

Joseph Harms, Yang Lei, Tonghe Wang et al. · Medical Physics · 2019 · 250 citations · Full text

Investigation of the usability of conebeam CT data sets for dose calculation

Anne Richter, Qiaoqiao Hu, Doreen Steglich et al. · Radiation Oncology · 2008 · 190 citations · Full text