| 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 | 16 | 2024 |
| 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 | 16 | 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 | 14* | 2023 |
| 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 | 10 | 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 | 9 | 2023 |
| Physics-Informed DeepMRI: k-Space Interpolation Meets Heat Diffusion ZX Cui, C Liu, X Fan, C Cao, J Cheng, Q Zhu, Y Liu, S Jia, H Wang, Y Zhu, ... IEEE Transactions on Medical Imaging, 2024 | 7* | 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 | 6 | 2024 |
| 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 | 5 | 2024 |
| 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 | 4 | 2023 |
| 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 | 3 | 2023 |
| 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 | 2 | 2024 |
| 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 |
| A Progressive Image Restoration Network for High-order Degradation Imaging in Remote Sensing Y Feng, Y Yang, X Fan, Z Zhang, L Bu, J Zhang arXiv preprint arXiv:2412.07195, 2024 | | 2024 |
| CT Radiomic Nomogram Using Optimal Volume of Interest for Preoperatively Predicting Invasive Mucinous Adenocarcinomas in Patients with Incidental Pulmonary Nodules: A … Z Zuo, G Zhang, J Chen, Q Xue, S Lin, Y Zeng, W Ge, W Qi, L Yang, H Liu, ... Technology in Cancer Research & Treatment 23, 15330338241308307, 2024 | | 2024 |
| MVMS-RCN: a dual-domain unified CT reconstruction with multi-sparse-view and multi-scale refinement-correction X Fan, K Chen, H Yi, Y Yang, J Zhang IEEE Transactions on Computational Imaging, 2024 | | 2024 |
| Radiomics Nomogram Based on Optimal Volume of Interest Derived from High-Resolution CT for Preoperative Prediction of IASLC Grading in Clinical IA Lung Adenocarcinomas: A Multi … Z Zuo, G Zhang, S Lin, Q Xue, W Qi, W Zhang, X Fan Technology in Cancer Research & Treatment 23, 15330338241300734, 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 |
Zhichao ZuoXiangtan UniversityΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα smail.xtu.edu.cn
