| Quantitative evaluation of vertebral microvascular permeability and fat fraction in alloxan-induced diabetic rabbits L Hu, YF Zha, L Wang, L Li, D Xing, W Gong, J Wang, Y Lin, FF Zeng, ... Radiology 287 (1), 128-136, 2018 | 30 | 2018 |
| Predictive value of temporal muscle thickness measurements on cranial magnetic resonance images in the prognosis of patients with primary glioblastoma F Liu, D Xing, Y Zha, L Wang, W Dong, L Li, W Gong, L Hu Frontiers in Neurology 11, 523292, 2020 | 28 | 2020 |
| Advanced zoomed diffusion-weighted imaging vs. full-field-of-view diffusion-weighted imaging in prostate cancer detection: a radiomic features study L Hu, DW Zhou, CX Fu, T Benkert, CY Jiang, RT Li, LM Wei, JG Zhao European radiology 31, 1760-1769, 2021 | 23 | 2021 |
| Adversarial training for prostate cancer classification using magnetic resonance imaging L Hu, DW Zhou, XY Guo, WH Xu, LM Wei, JG Zhao Quantitative Imaging in Medicine and Surgery 12 (6), 3276, 2022 | 20 | 2022 |
| Synthesizing High-b-Value Diffusion–weighted Imaging of the Prostate Using Generative Adversarial Networks L Hu, D Zhou, Y Zha, L Li, H He, W Xu, L Qian, Y Zhang, C Fu, H Hu, ... Radiology: Artificial Intelligence 3 (5), e200237, 2021 | 15 | 2021 |
| Better lesion conspicuity translates into improved prostate cancer detection: comparison of non-parallel-transmission-zoomed-DWI with conventional-DWI L Hu, L Wei, S Wang, C Fu, T Benker, J Zhao Abdominal Radiology 46, 5659-5668, 2021 | 11 | 2021 |
| A comparative study of diffusion kurtosis imaging and T2* mapping in quantitative detection of lumbar intervertebral disk degeneration F Zeng, Y Zha, L Li, D Xing, W Gong, L Hu, Y Fan European Spine Journal 28, 2169-2178, 2019 | 11 | 2019 |
| Automated deep-learning system in the assessment of MRI-visible prostate cancer: comparison of advanced zoomed diffusion-weighted imaging and conventional technique L Hu, C Fu, X Song, R Grimm, H Von Busch, T Benkert, A Kamen, B Lou, ... Cancer Imaging 23 (1), 6, 2023 | 9 | 2023 |
| Calculation of apparent diffusion coefficients in prostate cancer using deep learning algorithms: a pilot study L Hu, DW Zhou, CX Fu, T Benkert, YF Xiao, LM Wei, JG Zhao Frontiers in Oncology 11, 697721, 2021 | 9 | 2021 |
| Evaluation of microvascular permeability of skeletal muscle and texture analysis based on DCE-MRI in alloxan-induced diabetic rabbits B Liu, L Hu, L Wang, D Xing, L Peng, P Chen, F Zeng, WV Liu, H Liu, ... European Radiology 31, 5669-5679, 2021 | 8 | 2021 |
| Protecting prostate cancer classification from rectal artifacts via targeted adversarial training L Hu, D Zhou, J Xu, C Lu, C Han, Z Shi, Q Zhu, X Gao, N Wang, Z Liu IEEE Journal of Biomedical and Health Informatics, 2024 | 5 | 2024 |
| Development and validation of a deep learning model to reduce the interference of rectal artifacts in MRI-based prostate cancer diagnosis L Hu, X Guo, D Zhou, Z Wang, L Dai, L Li, Y Li, T Zhang, H Long, C Yu, ... Radiology: Artificial Intelligence 6 (2), e230362, 2024 | 4 | 2024 |
| Evaluation of bone marrow texture and trabecular changes with quantitative DCE-MRI and QCT in Alloxan-Induced Diabetic rabbit models P Chen, Y Zha, L Wang, L Li, L Hu, D Xing, B Liu, L Yang, Q Yang, C Liu, ... Frontiers in Endocrinology 12, 785604, 2021 | 1 | 2021 |
| Comparison of the impact of rectal susceptibility artifacts in prostate magnetic resonance imaging on subjective evaluation and deep learning: a two-center retrospective study Z Wang, P Lu, S Liu, C Fu, Y Ye, C Yu, L Hu BMC Medical Imaging 25, 61, 2025 | | 2025 |
| BEEx Is an Open-Source Tool That Evaluates Batch Effects in Medical Images to Enable Multicenter Studies Y Wu, X Xu, Y Cheng, X Zhang, F Liu, Z Li, L Hu, A Madabhushi, P Gao, ... Cancer Research 85 (2), 218-230, 2025 | | 2025 |
| Motion Artifact Removal in Pixel-Frequency Domain via Alternate Masks and Diffusion Model J Xu, D Zhou, L Hu, J Guo, F Yang, Z Liu, N Wang, X Gao arXiv preprint arXiv:2412.07590, 2024 | | 2024 |
| Integration of texture analysis based on DCE-MRI Ktrans map and metabolomics of early bone marrow microvascular changes in alloxan-induced diabetic rabbits Y Wang, L Li, Y Yan, T Zhang, L Hu, J Chen, Y Zha BMC Medical Imaging 24 (1), 247, 2024 | | 2024 |
| Evaluation of bone marrow fat content and fatty acid composition using quantitative MRI combined with metabonomics in alloxan-induced diabetic rabbits T Zhang, L Hu, Z Fei, Y Gao, Y Wang, Y Yan, J Jiang, W Liu, Y Zha | | 2024 |
| The feasibility of ASL Spinal bone marrow perfusion Imaging with optimized TI D Xing, Y Zha, L Hu, J Wang, Y Lin, H Lin Proc. Intl. Soc. Mag. Reson. Med 23, 0536, 2015 | | 2015 |
| Evaluation of bone marrow fat content and fatty acid composition using quantitative MRI combined with metabonomics in diabetic rabbits T Zhang, L Hu, Z Fei, Y Gao, Y Wang, Y Yan, WV Liu, Y Zha | | |
