| Deep learning in medical image registration: a review Y Fu, Y Lei, T Wang, WJ Curran, T Liu, X Yang Physics in Medicine & Biology 65 (20), 20TR01, 2020 | 589 | 2020 |
| Automatic multiorgan segmentation in thorax CT images using U‐net‐GAN X Dong, Y Lei, T Wang, M Thomas, L Tang, WJ Curran, T Liu, X Yang Medical physics 46 (5), 2157-2168, 2019 | 319 | 2019 |
| MRI‐only based synthetic CT generation using dense cycle consistent generative adversarial networks Y Lei, J Harms, T Wang, Y Liu, HK Shu, AB Jani, WJ Curran, H Mao, T Liu, ... Medical physics 46 (8), 3565-3581, 2019 | 299 | 2019 |
| Paired cycle‐GAN‐based image correction for quantitative cone‐beam computed tomography J Harms, Y Lei, T Wang, R Zhang, J Zhou, X Tang, WJ Curran, T Liu, ... Medical physics 46 (9), 3998-4009, 2019 | 257 | 2019 |
| Deeply supervised 3D fully convolutional networks with group dilated convolution for automatic MRI prostate segmentation B Wang, Y Lei, S Tian, T Wang, Y Liu, P Patel, AB Jani, H Mao, WJ Curran, ... Medical physics 46 (4), 1707-1718, 2019 | 252 | 2019 |
| A review on medical imaging synthesis using deep learning and its clinical applications T Wang, Y Lei, Y Fu, JF Wynne, WJ Curran, T Liu, X Yang Journal of applied clinical medical physics 22 (1), 11-36, 2021 | 242 | 2021 |
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| Ultrasound GLCM texture analysis of radiation‐induced parotid‐gland injury in head‐and‐neck cancer radiotherapy: An in vivo study of late toxicity X Yang, S Tridandapani, JJ Beitler, DS Yu, EJ Yoshida, WJ Curran, T Liu Medical physics 39 (9), 5732-5739, 2012 | 229 | 2012 |
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| Synthetic MRI-aided multi-organ segmentation on male pelvic CT using cycle consistent deep attention network X Dong, Y Lei, S Tian, T Wang, P Patel, WJ Curran, AB Jani, T Liu, X Yang Radiotherapy and Oncology 141, 192-199, 2019 | 192 | 2019 |
| Ultrasound prostate segmentation based on multidirectional deeply supervised V‐Net Y Lei, S Tian, X He, T Wang, B Wang, P Patel, AB Jani, H Mao, WJ Curran, ... Medical physics 46 (7), 3194-3206, 2019 | 178 | 2019 |
| A review of deep learning based methods for medical image multi-organ segmentation Y Fu, Y Lei, T Wang, WJ Curran, T Liu, X Yang Physica Medica 85, 107-122, 2021 | 175 | 2021 |
| CBCT‐based synthetic CT generation using deep‐attention cycleGAN for pancreatic adaptive radiotherapy Y Liu, Y Lei, T Wang, Y Fu, X Tang, WJ Curran, T Liu, P Patel, X Yang Medical physics 47 (6), 2472-2483, 2020 | 163 | 2020 |
| Automated segmentation of the parotid gland based on atlas registration and machine learning: a longitudinal MRI study in head-and-neck radiation therapy X Yang, N Wu, G Cheng, Z Zhou, SY David, JJ Beitler, WJ Curran, T Liu International Journal of Radiation Oncology* Biology* Physics 90 (5), 1225-1233, 2014 | 154 | 2014 |
| Deep learning-based attenuation correction in the absence of structural information for whole-body positron emission tomography imaging X Dong, Y Lei, T Wang, K Higgins, T Liu, WJ Curran, H Mao, JA Nye, ... Physics in Medicine & Biology 65 (5), 055011, 2020 | 153 | 2020 |
| Synthetic CT generation from non-attenuation corrected PET images for whole-body PET imaging X Dong, T Wang, Y Lei, K Higgins, T Liu, WJ Curran, H Mao, JA Nye, ... Physics in Medicine & Biology 64 (21), 215016, 2019 | 145 | 2019 |
| CT prostate segmentation based on synthetic MRI‐aided deep attention fully convolution network Y Lei, X Dong, Z Tian, Y Liu, S Tian, T Wang, X Jiang, P Patel, AB Jani, ... Medical physics 47 (2), 530-540, 2020 | 137 | 2020 |
| Male pelvic multi-organ segmentation aided by CBCT-based synthetic MRI Y Lei, T Wang, S Tian, X Dong, AB Jani, D Schuster, WJ Curran, P Patel, ... Physics in Medicine & Biology 65 (3), 035013, 2020 | 135 | 2020 |
Xiaofeng YangEmory University and Georgia Institute of Technology在 emory.edu 的电子邮件经过验证
