Automatic multiorgan segmentation in thorax CT images using U‐net‐GAN von Dong, Xue, Lei, Yang, Wang, Tonghe, Thomas, Matthew, Tang, Leonardo, Curran, Walter J., Liu, Tian, Yang, Xiaofeng

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Paired cycle‐GAN‐based image correction for quantitative cone‐beam computed tomography von Harms, Joseph, Lei, Yang, Wang, Tonghe, Zhang, Rongxiao, Zhou, Jun, Tang, Xiangyang, Curran, Walter J., Liu, Tian, Yang, Xiaofeng

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MRI‐only based synthetic CT generation using dense cycle consistent generative adversarial networks von Lei, Yang, Harms, Joseph, Wang, Tonghe, Liu, Yingzi, Shu, Hui‐Kuo, Jani, Ashesh B., Curran, Walter J., Mao, Hui, Liu, Tian, Yang, Xiaofeng

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A review on medical imaging synthesis using deep learning and its clinical applications von Wang, Tonghe, Lei, Yang, Fu, Yabo, Wynne, Jacob F., Curran, Walter J., Liu, Tian, Yang, Xiaofeng

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Synthetic MRI-aided multi-organ segmentation on male pelvic CT using cycle consistent deep attention network von Dong, Xue, Lei, Yang, Tian, Sibo, Wang, Tonghe, Patel, Pretesh, Curran, Walter J., Jani, Ashesh B., Liu, Tian, Yang, Xiaofeng

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A learning-based automatic segmentation and quantification method on left ventricle in gated myocardial perfusion SPECT imaging: A feasibility study von Wang, Tonghe, Lei, Yang, Tang, Haipeng, He, Zhuo, Castillo, Richard, Wang, Cheng, Li, Dianfu, Higgins, Kristin, Liu, Tian, Curran, Walter J., Zhou, Weihua, Yang, Xiaofeng

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Synthetic CT generation from non-attenuation corrected PET images for whole-body PET imaging von Dong, Xue, Wang, Tonghe, Lei, Yang, Higgins, Kristin, Liu, Tian, Curran, Walter J, Mao, Hui, Nye, Jonathon A, Yang, Xiaofeng

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Deep learning-based attenuation correction in the absence of structural information for whole-body positron emission tomography imaging von Dong, Xue, Lei, Yang, Wang, Tonghe, Higgins, Kristin, Liu, Tian, Curran, Walter J, Mao, Hui, Nye, Jonathon A, Yang, Xiaofeng

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Whole-body PET estimation from low count statistics using cycle-consistent generative adversarial networks von Lei, Yang, Dong, Xue, Wang, Tonghe, Higgins, Kristin, Liu, Tian, Curran, Walter J, Mao, Hui, Nye, Jonathon A, Yang, Xiaofeng

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CT prostate segmentation based on synthetic MRI‐aided deep attention fully convolution network von Lei, Yang, Dong, Xue, Tian, Zhen, Liu, Yingzi, Tian, Sibo, Wang, Tonghe, Jiang, Xiaojun, Patel, Pretesh, Jani, Ashesh B., Mao, Hui, Curran, Walter J., Liu, Tian, Yang, Xiaofeng

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MRI-based treatment planning for liver stereotactic body radiotherapy: validation of a deep learning-based synthetic CT generation method von Liu, Yingzi, Lei, Yang, Wang, Tonghe, Kayode, Oluwatosin, Tian, Sibo, Liu, Tian, Patel, Pretesh, Curran, Walter J, Ren, Lei, Yang, Xiaofeng

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Editorial: Machine learning in radiation therapy for lung cancer von Chow, James C L, Wang, Tonghe

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Editorial: Interpretable and explainable machine learning models in oncology von Hrinivich, William Thomas, Wang, Tonghe, Wang, Chunhao

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Machine learning in quantitative PET: A review of attenuation correction and low-count image reconstruction methods von Wang, Tonghe, Lei, Yang, Fu, Yabo, Curran, Walter J., Liu, Tian, Nye, Jonathon A., Yang, Xiaofeng

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Pelvic multi‐organ segmentation on cone‐beam CT for prostate adaptive radiotherapy von Fu, Yabo, Lei, Yang, Wang, Tonghe, Tian, Sibo, Patel, Pretesh, Jani, Ashesh B., Curran, Walter J., Liu, Tian, Yang, Xiaofeng

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Deep learning-based real-time volumetric imaging for lung stereotactic body radiation therapy: a proof of concept study von Lei, Yang, Tian, Zhen, Wang, Tonghe, Higgins, Kristin, Bradley, Jeffrey D, Curran, Walter J, Liu, Tian, Yang, Xiaofeng

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Head and neck multi‐organ auto‐segmentation on CT images aided by synthetic MRI von Liu, Yingzi, Lei, Yang, Fu, Yabo, Wang, Tonghe, Zhou, Jun, Jiang, Xiaojun, McDonald, Mark, Beitler, Jonathan J., Curran, Walter J., Liu, Tian, Yang, Xiaofeng

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Multi-organ auto-delineation in head-and-neck MRI for radiation therapy using regional convolutional neural network von Dai, Xianjin, Lei, Yang, Wang, Tonghe, Zhou, Jun, Rudra, Soumon, McDonald, Mark, Curran, Walter J, Liu, Tian, Yang, Xiaofeng

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Automated delineation of head and neck organs at risk using synthetic MRI‐aided mask scoring regional convolutional neural network von Dai, Xianjin, Lei, Yang, Wang, Tonghe, Zhou, Jun, Roper, Justin, McDonald, Mark, Beitler, Jonathan J., Curran, Walter J., Liu, Tian, Yang, Xiaofeng

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Cone‐beam CT‐derived relative stopping power map generation via deep learning for proton radiotherapy von Harms, Joseph, Lei, Yang, Wang, Tonghe, McDonald, Mark, Ghavidel, Beth, Stokes, William, Curran, Walter J., Zhou, Jun, Liu, Tian, Yang, Xiaofeng

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