| Deep geometric distillation network for compressive sensing MRI X Fan, Y Yang, J Zhang 2021 IEEE EMBS International Conference on Biomedical and Health Informatics …, 2021 | 13 | 2021 |
| An interpretable MRI reconstruction network with two-grid-cycle correction and geometric prior distillation X Fan, Y Yang, K Chen, J Zhang, K Dong Biomedical Signal Processing and Control 84, 104821, 2023 | 9* | 2023 |
| Assessment of lymphovascular invasion in breast cancer using a combined MRI morphological features, Radiomics, and deep learning approach based on dynamic contrast‐enhanced MRI X Yang, X Fan, S Lin, Y Zhou, H Liu, X Wang, Z Zuo, Y Zeng Journal of Magnetic Resonance Imaging 59 (6), 2238-2249, 2024 | 5 | 2024 |
| Leveraging multimodal MRI-based radiomics analysis with diverse machine learning models to evaluate lymphovascular invasion in clinically node-negative breast cancer Y Jiang, Y Zeng, Z Zuo, X Yang, H Liu, Y Zhou, X Fan Heliyon 10 (1), 2024 | 3 | 2024 |
| Nest-DGIL: Nesterov-optimized deep geometric incremental learning for CS image reconstruction X Fan, Y Yang, K Chen, Y Feng, J Zhang IEEE Transactions on Computational Imaging, 2023 | 3 | 2023 |
| Deep learning-powered 3D segmentation derives factors associated with lymphovascular invasion and prognosis in clinical T1 stage non-small cell lung cancer Z Zuo, X Fan, Y Tang, Y Zhang, X Peng, W Zeng, Y Zeng Heliyon 9 (4), 2023 | 2 | 2023 |
| A Multiscale Generalized Shrinkage Threshold Network for Image Blind Deblurring in Remote Sensing Y Feng, Y Yang, X Fan, Z Zhang, J Zhang IEEE Transactions on Geoscience and Remote Sensing 62, 1-16, 2024 | 1 | 2024 |
| PRISTA-Net: Deep iterative shrinkage thresholding network for coded diffraction patterns phase retrieval A Liu, X Fan, Y Yang, J Zhang arXiv preprint arXiv:2309.04171, 2023 | 1 | 2023 |
| Physics-informed DeepMRI: Bridging the gap from heat diffusion to k-space interpolation ZX Cui, C Liu, X Fan, C Cao, J Cheng, Q Zhu, Y Liu, S Jia, Y Zhou, ... arXiv preprint arXiv:2308.15918, 2023 | 1 | 2023 |
| Multiparametric magnetic resonance imaging-derived deep learning network to determine ferroptosis-related gene signatures in gliomas Z Zuo, W Liu, Y Zeng, X Fan, L Li, J Chen, X Zhou, Y Jiang, X Yang, ... Frontiers in Neuroscience 16, 1082867, 2022 | 1 | 2022 |
| Exploring habitats-based spatial distributions: improving predictions of lymphovascular invasion in invasive breast cancer W Ge, X Fan, Y Zeng, X Yang, L Zhou, Z Zuo Academic Radiology, 2024 | | 2024 |
| MVMS-RCN: A Dual-Domain Unfolding CT Reconstruction with Multi-sparse-view and Multi-scale Refinement-correction X Fan, K Chen, H Yi, Y Yang, J Zhang arXiv preprint arXiv:2405.17141, 2024 | | 2024 |
| Unconditionally optimal error estimates of linearized Crank-Nicolson virtual element methods for quasilinear parabolic problems on general polygonal meshes Y Wang, H Yi, X Fan, G Li ESAIM: Mathematical Modelling and Numerical Analysis 58 (3), 881-926, 2024 | | 2024 |
| Automatic statistical diagnosis of COVID-19 based on multi-modal CT feature extraction X Fan, Z Zuo, Y Li, Y Zhou, H Liu, X Zhou, J Zhang Meta-Radiology 1 (2), 100018, 2023 | | 2023 |
Ke ChenProfessor at University of Strathclyde and Honorary Professor at University of Liverpool在 strath.ac.uk 的电子邮件经过验证
