| Proximal ADMM for Multi-Channel Image Reconstruction in Spectral X-ray CT A Sawatzky, Q Xu, C Schirra, M Anastasio IEEE Transaction on Medical Imaging 33 (8), 1657 - 1668, 2014 | 81 | 2014 |
| Space- and intensity-constrained reconstruction for compressed ultrafast photography L Zhu, YC Chen, J Liang, Q Xu, L Gao, C Ma, LV Wang Optica 3 (7), 694, 2016 | 70 | 2016 |
| System and methods for image segmentation using convolutional neural network J Xu, X Han US Patent 9,965,863, 2018 | 68 | 2018 |
| Sparsity-regularized image reconstruction of decomposed K-edge data in spectral CT Q Xu, A Sawatzky, M Anastasio, OC Schirra Physics in Medicine and Biology 59 (10), N65, 2014 | 46 | 2014 |
| Investigation of discrete imaging models and iterative image reconstruction in differential X-ray phase-contrast tomography Q Xu, EY Sidky, X Pan, M Stampanoni, P Modregger, MA Anastasio Optics express 20 (10), 10724-10749, 2012 | 43 | 2012 |
| Image segmentation using neural network method J Xu, X Han US Patent 9,947,102, 2018 | 42 | 2018 |
| Accelerated fast iterative shrinkage thresholding algorithms for sparsity-regularized cone-beam CT image reconstruction Q Xu, D Yang, J Tan, A Sawatzky, MA Anastasio Medical Physics 43 (4), 1849-1872, 2016 | 41 | 2016 |
| Nondestructive volumetric imaging of tissue microstructure with benchtop x-ray phase-contrast tomography and critical point drying AM Zysk, AB Garson III, Q Xu, EM Brey, W Zhou, JG Brankov, MN Wernick, ... Biomedical optics express 3 (8), 1924-1932, 2012 | 35 | 2012 |
| Image quality in cone beam computed tomography images using deep convolutional neural networks J Xu, X Han US Patent 10,573,032, 2020 | 29 | 2020 |
| Cone-beam CT image enhancement using generative adversarial networks J Xu, X Han US Patent 11,501,438, 2022 | 27 | 2022 |
| General and custom deep learning autosegmentation models for organs in head and neck, abdomen, and male pelvis A Amjad, J Xu, D Thill, C Lawton, W Hall, MJ Awan, M Shukla, ... Medical physics 49 (3), 1686-1700, 2022 | 20 | 2022 |
| Automatic contour refinement for deep learning auto-segmentation of complex organs in MRI-guided adaptive radiation therapy J Ding, Y Zhang, A Amjad, J Xu, D Thill, XA Li Advances in Radiation Oncology 7 (5), 100968, 2022 | 17 | 2022 |
| Investigation of autosegmentation techniques on T2‐weighted MRI for off‐line dose reconstruction in MR‐linac workflow for head and neck cancers BA McDonald, CE Cardenas, N O'Connell, S Ahmed, MA Naser, ... Medical physics 51 (1), 278-291, 2024 | 14 | 2024 |
| System and methods for image segmentation using convolutional neural network J Xu, X Han US Patent 10,346,986, 2019 | 12 | 2019 |
| Image quality improvement in cone beam computed tomography images using deep convolutional neural networks J Xu, X Han US Patent 11,080,901, 2021 | 8 | 2021 |
| Boundary-enhancement in propagation-based x-ray phase-contrast tomosynthesis improves depth position characterization H Guan, Q Xu, AB Garson, MA Anastasio Physics in Medicine & Biology 60 (8), N151, 2015 | 8 | 2015 |
| Sct image generation using cyclegan with deformable layers J Xu US Patent App. 17/594,438, 2022 | 7 | 2022 |
| System and methods for image segmentation using convolutional neural network J Xu, X Han US Patent 10,134,141, 2018 | 7 | 2018 |
| SU‐F‐BRCD‐09: Total Variation (TV) Based Fast Convergent Iterative CBCT Reconstruction with GPU Acceleration Q Xu, D Yang, J Tan, M Anastasio Medical physics 39 (6Part20), 3857-3857, 2012 | 7 | 2012 |
| Modeling and Development of Iterative Reconstruction Algorithms in Emerging X-ray Imaging Technologies J Xu Washington University in St. Louis, 2014 | 6 | 2014 |
Liang GaoAssociate Professor, Bioengineering, UCLA在 ucla.edu 的电子邮件经过验证
