| 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 | 289 | 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 | 247 | 2019 |
| 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 | 155 | 2020 |
| 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 |
| MRI-based treatment planning for proton radiotherapy: dosimetric validation of a deep learning-based liver synthetic CT generation method Y Liu, Y Lei, Y Wang, T Wang, L Ren, L Lin, M McDonald, WJ Curran, ... Physics in Medicine & Biology 64 (14), 145015, 2019 | 124 | 2019 |
| Evaluation of a deep learning-based pelvic synthetic CT generation technique for MRI-based prostate proton treatment planning Y Liu, Y Lei, Y Wang, G Shafai-Erfani, T Wang, S Tian, P Patel, AB Jani, ... Physics in Medicine & Biology 64 (20), 205022, 2019 | 104 | 2019 |
| MRI-based treatment planning for liver stereotactic body radiotherapy: validation of a deep learning-based synthetic CT generation method Y Liu, Y Lei, T Wang, O Kayode, S Tian, T Liu, P Patel, WJ Curran, L Ren, ... The British Journal of Radiology 92 (1100), 20190067, 2019 | 102 | 2019 |
| 4D-CT deformable image registration using multiscale unsupervised deep learning Y Lei, Y Fu, T Wang, Y Liu, P Patel, WJ Curran, T Liu, X Yang Physics in Medicine & Biology 65 (8), 085003, 2020 | 82 | 2020 |
| Head and neck multi‐organ auto‐segmentation on CT images aided by synthetic MRI Y Liu, Y Lei, Y Fu, T Wang, J Zhou, X Jiang, M McDonald, JJ Beitler, ... Medical physics 47 (9), 4294-4302, 2020 | 60 | 2020 |
| Deep learning-based image quality improvement for low-dose computed tomography simulation in radiation therapy T Wang, Y Lei, Z Tian, X Dong, Y Liu, X Jiang, WJ Curran, T Liu, HK Shu, ... Journal of Medical Imaging 6 (4), 043504-043504, 2019 | 59 | 2019 |
| CT‐based multi‐organ segmentation using a 3D self‐attention U‐net network for pancreatic radiotherapy Y Liu, Y Lei, Y Fu, T Wang, X Tang, X Jiang, WJ Curran, T Liu, P Patel, ... Medical physics 47 (9), 4316-4324, 2020 | 55 | 2020 |
| MRI-based proton treatment planning for base of skull tumors G Shafai-Erfani, Y Lei, Y Liu, Y Wang, T Wang, J Zhong, T Liu, ... International journal of particle therapy 6 (2), 12-25, 2019 | 51 | 2019 |
| Intensity non-uniformity correction in MR imaging using residual cycle generative adversarial network X Dai, Y Lei, Y Liu, T Wang, L Ren, WJ Curran, P Patel, T Liu, X Yang Physics in Medicine & Biology 65 (21), 215025, 2020 | 47 | 2020 |
| MRI-based synthetic CT generation using deep convolutional neural network Y Lei, T Wang, Y Liu, K Higgins, S Tian, T Liu, H Mao, H Shim, WJ Curran, ... Medical Imaging 2019: Image Processing 10949, 716-721, 2019 | 46 | 2019 |
| Automatic multi-organ segmentation in thorax CT images using U-Net-GAN Y Lei, Y Liu, X Dong, S Tian, T Wang, X Jiang, K Higgins, JJ Beitler, ... Medical Imaging 2019: Computer-Aided Diagnosis 10950, 262-267, 2019 | 36 | 2019 |
| Automatic MRI prostate segmentation using 3D deeply supervised FCN with concatenated atrous convolution B Wang, Y Lei, JJ Jeong, T Wang, Y Liu, S Tian, P Patel, X Jiang, AB Jani, ... Medical Imaging 2019: Computer-Aided Diagnosis 10950, 988-995, 2019 | 33 | 2019 |
| A compact DD neutron generator–based NAA system to quantify manganese (Mn) in bone in vivo Y Liu, P Byrne, H Wang, D Koltick, W Zheng, LH Nie Physiological measurement 35 (9), 1899, 2014 | 33 | 2014 |
| Development of a transportable neutron activation analysis system to quantify manganese in bone in vivo: feasibility and methodology Y Liu, D Koltick, P Byrne, H Wang, W Zheng, LH Nie Physiological measurement 34 (12), 1593, 2013 | 31 | 2013 |
| Development of a cumulative exposure index (CEI) for manganese and comparison with bone manganese and other biomarkers of manganese exposure D Rolle-McFarland, Y Liu, J Zhou, F Mostafaei, Y Zhou, Y Li, Q Fan, ... International journal of environmental research and public health 15 (7), 1341, 2018 | 21 | 2018 |
| The association of bone, fingernail and blood manganese with cognitive and olfactory function in Chinese workers D Rolle-McFarland, Y Liu, F Mostafaei, SE Zauber, Y Zhou, Y Li, Q Fan, ... Science of the total environment 666, 1003-1010, 2019 | 20 | 2019 |
