SUTrans-NET: a hybrid transformer approach to skin lesion segmentation von Li, Yaqin, Tian, Tonghe, Hu, Jing, Yuan, Cao

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Garbage cleaning device for port environmental protection von TIAN TONGHE

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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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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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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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Deep learning in medical image registration: a review von Fu, Yabo, Lei, Yang, Wang, Tonghe, 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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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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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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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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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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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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Male pelvic multi-organ segmentation aided by CBCT-based synthetic MRI von Lei, Yang, Wang, Tonghe, Tian, Sibo, Dong, Xue, Jani, Ashesh B, Schuster, David, Curran, Walter J, Patel, Pretesh, Liu, Tian, Yang, Xiaofeng

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Deeply supervised 3D fully convolutional networks with group dilated convolution for automatic MRI prostate segmentation von Wang, Bo, Lei, Yang, Tian, Sibo, Wang, Tonghe, Liu, Yingzi, Patel, Pretesh, Jani, Ashesh B., Mao, Hui, Curran, Walter J., Liu, Tian, Yang, Xiaofeng

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A review of deep learning based methods for medical image multi-organ segmentation von Fu, Yabo, Lei, Yang, Wang, Tonghe, Curran, Walter J., Liu, Tian, Yang, Xiaofeng

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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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