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Xuewen Hou
Xuewen Hou
在 st.usst.edu.cn 的电子邮件经过验证 - 首页
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引用次数
引用次数
年份
Rapid identification of edible oil species using supervised support vector machine based on low-field nuclear magnetic resonance relaxation features
X Hou, G Wang, G Su, X Wang, S Nie
Food chemistry 280, 139-145, 2019
492019
Prediction of breast cancer molecular subtypes using DCE-MRI based on CNNs combined with ensemble learning
R Sun, Z Meng, X Hou, Y Chen, Y Yang, G Huang, S Nie
Physics in Medicine & Biology 66 (17), 175009, 2021
332021
Rapid screening for hazelnut oil and high‐oleic sunflower oil in extra virgin olive oil using low‐field nuclear magnetic resonance relaxometry and machine learning
X Hou, G Wang, X Wang, X Ge, Y Fan, R Jiang, S Nie
Journal of the Science of Food and Agriculture 101 (6), 2389-2397, 2021
312021
A rapid screening approach for authentication of olive oil and classification of binary blends of olive oils using low-field nuclear magnetic resonance spectra and support …
X Wang, G Wang, X Hou, S Nie
Food Analytical Methods 13, 1894-1905, 2020
272020
Convolutional neural network based approach for classification of edible oils using low-field nuclear magnetic resonance
X Hou, G Wang, X Wang, X Ge, Y Fan, S Nie
Journal of Food Composition and Analysis 92, 103566, 2020
272020
Transfer learning strategy based on unsupervised learning and ensemble learning for breast cancer molecular subtype prediction using dynamic contrast‐enhanced MRI
R Sun, X Hou, X Li, Y Xie, S Nie
Journal of Magnetic Resonance Imaging 55 (5), 1518-1534, 2022
222022
A deep learning‐and CT image‐based prognostic model for the prediction of survival in non‐small cell lung cancer
W Chen, X Hou, Y Hu, G Huang, X Ye, S Nie
Medical Physics 48 (12), 7946-7958, 2021
142021
A novel deep learning model based on multi-scale and multi-view for detection of pulmonary nodules
Y Chen, X Hou, Y Yang, Q Ge, Y Zhou, S Nie
Journal of Digital Imaging 36 (2), 688-699, 2023
72023
A one-dimensional U-net-based calibration-transfer method for low-field nuclear magnetic resonance signals
X Hou, X Wang, Y Hu, Y Chen, G Huang, S Nie
Analytical Chemistry 93 (30), 10469-10476, 2021
52021
The influence of white matter hyperintensities severity on functional brain activity in cerebral small vessel disease: An rs-fMRI study
Y Hu, Y Yang, X Hou, Y Zhou, S Nie
Journal of X-Ray Science and Technology 30 (6), 1213-1227, 2022
42022
Weighted iterative inversion method for T2 spectrum in nuclear magnetic resonance
X Hou, G Su, B Lu, X Wang, S Nie
Spectroscopy Letters 52 (9), 541-552, 2019
42019
Application of generative adversarial network in magnetic resonance image reconstruction
X Cai, X Hou, G Yang, S Nie
Sheng wu yi xue gong cheng xue za zhi= Journal of biomedical engineering …, 2023
12023
A method for distinguishing benign and malignant pulmonary nodules based on 3D dual path network aided by K-means clustering analysis
D Gao, X Ye, X Hou, Y Chen, X Kong, Y Xie, S Nie
Journal of Zhejiang University-SCIENCE B 23 (11), 957-967, 2022
12022
Segmentation of ground glass pulmonary nodules using full convolution residual network based on atrous spatial pyramid pooling structure and attention mechanism
T Dong, L Wei, X Ye, Y Chen, X Hou, S Nie
Sheng wu yi xue Gong Cheng xue za zhi= Journal of Biomedical Engineering …, 2022
12022
Segmentation of lung nodules based on a refined segmentation network
Y Chen, X Hou, Y Yang, Y Zhou, Y Xie, S Nie
Medical Physics 51 (4), 2759-2771, 2024
2024
Feature Fusion for Multi-Coil Compressed MR Image Reconstruction
H Cheng, X Hou, G Huang, S Jia, G Yang, S Nie
Journal of Imaging Informatics in Medicine, 1-11, 2024
2024
Molecular-subtype guided automatic invasive breast cancer grading using dynamic contrast-enhanced MRI
R Sun, L Wei, X Hou, Y Chen, B Han, Y Xie, S Nie
Computer Methods and Programs in Biomedicine 242, 107804, 2023
2023
Progress in TN staging of rectal cancer based on multimodal magnetic resonance imaging
J SUN, Y CHEN, X HOU, J GONG, T TONG, S JIA, S NIE
International Journal of Biomedical Engineering, 66-73, 2023
2023
Accelerating image reconstruction for multi-contrast MRI based on Y-Net3+
X Cai, X Hou, R Sun, X Chang, H Zhu, S Jia, S Nie
Journal of X-Ray Science and Technology 31 (4), 797-810, 2023
2023
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