MD-Recon-Net: a parallel dual-domain convolutional neural network for compressed sensing MRI M Ran, W Xia, Y Huang, Z Lu, P Bao, Y Liu, H Sun, J Zhou, Y Zhang
IEEE Transactions on Radiation and Plasma Medical Sciences 5 (1), 120-135, 2020
337 2020 Convolutional sparse coding for compressed sensing CT reconstruction P Bao, W Xia, K Yang, W Chen, M Chen, Y Xi, S Niu, J Zhou, H Zhang, ...
IEEE transactions on medical imaging 38 (11), 2607-2619, 2019
128 2019 MAGIC: Manifold and graph integrative convolutional network for low-dose CT reconstruction W Xia, Z Lu, Y Huang, Z Shi, Y Liu, H Chen, Y Chen, J Zhou, Y Zhang
IEEE transactions on medical imaging 40 (12), 3459-3472, 2021
96 2021 Noise-powered disentangled representation for unsupervised speckle reduction of optical coherence tomography images Y Huang, W Xia, Z Lu, Y Liu, H Chen, J Zhou, L Fang, Y Zhang
IEEE Transactions on Medical Imaging 40 (10), 2600-2614, 2020
71 2020 CT reconstruction with PDF: Parameter-dependent framework for data from multiple geometries and dose levels W Xia, Z Lu, Y Huang, Y Liu, H Chen, J Zhou, Y Zhang
IEEE Transactions on Medical Imaging 40 (11), 3065-3076, 2021
70 2021 Spectral CT reconstruction—ASSIST: Aided by self-similarity in image-spectral tensors W Xia, W Wu, S Niu, F Liu, J Zhou, H Yu, G Wang, Y Zhang
IEEE Transactions on Computational Imaging 5 (3), 420-436, 2019
47 2019 LEARN++: recurrent dual-domain reconstruction network for compressed sensing CT Y Zhang, H Chen, W Xia, Y Chen, B Liu, Y Liu, H Sun, J Zhou
IEEE Transactions on Radiation and Plasma Medical Sciences 7 (2), 132-142, 2022
46 2022 DAN-Net: Dual-domain adaptive-scaling non-local network for CT metal artifact reduction T Wang, W Xia, Y Huang, H Sun, Y Liu, H Chen, J Zhou, Y Zhang
Physics in Medicine & Biology 66 (15), 155009, 2021
40 2021 Low-Dose CT Using Denoising Diffusion Probabilistic Model for 20 W Xia, Q Lyu, G Wang
arXiv preprint arXiv:2209.15136, 2022
39 2022 IDOL-Net: An interactive dual-domain parallel network for CT metal artifact reduction T Wang, Z Lu, Z Yang, W Xia, M Hou, H Sun, Y Liu, H Chen, J Zhou, ...
IEEE Transactions on Radiation and Plasma Medical Sciences 6 (8), 874-885, 2022
32 2022 Physics-/model-based and data-driven methods for low-dose computed tomography: A survey W Xia, H Shan, G Wang, Y Zhang
IEEE signal processing magazine 40 (2), 89-100, 2023
30 2023 M3 NAS: Multi-Scale and Multi-Level Memory-Efficient Neural Architecture Search for Low-Dose CT Denoising Z Lu, W Xia, Y Huang, M Hou, H Chen, J Zhou, H Shan, Y Zhang
IEEE Transactions on Medical Imaging 42 (3), 850-863, 2022
27 2022 Patch-based denoising diffusion probabilistic model for sparse-view CT reconstruction W Xia, W Cong, G Wang
arXiv preprint arXiv:2211.10388, 2022
26 2022 Hypernetwork-based personalized federated learning for multi-institutional CT imaging Z Yang, W Xia, Z Lu, Y Chen, X Li, Y Zhang
arXiv preprint arXiv:2206.03709, 2022
24 2022 Training low dose CT denoising network without high quality reference data J Jing, W Xia, M Hou, H Chen, Y Liu, J Zhou, Y Zhang
Physics in Medicine & Biology 67 (8), 084002, 2022
24 2022 CO3 Net: Coordinate-Aware Contrastive Competitive Neural Network for Palmprint Recognition Z Yang, W Xia, Y Qiao, Z Lu, B Zhang, L Leng, Y Zhang
IEEE Transactions on Instrumentation and Measurement 72, 1-14, 2023
22 2023 RegFormer: A local–nonlocal regularization-based model for sparse-view CT reconstruction W Xia, Z Yang, Z Lu, Z Wang, Y Zhang
IEEE Transactions on Radiation and Plasma Medical Sciences 8 (2), 184-194, 2023
21 2023 A transformer-based iterative reconstruction model for sparse-view ct reconstruction W Xia, Z Yang, Q Zhou, Z Lu, Z Wang, Y Zhang
International Conference on Medical Image Computing and Computer-Assisted …, 2022
20 2022 A review of deep learning CT reconstruction from incomplete projection data T Wang, W Xia, J Lu, Y Zhang
IEEE Transactions on Radiation and Plasma Medical Sciences 8 (2), 138-152, 2023
18 2023 Hypernetwork-based physics-driven personalized federated learning for CT imaging Z Yang, W Xia, Z Lu, Y Chen, X Li, Y Zhang
IEEE Transactions on Neural Networks and Learning Systems, 2023
16 2023 