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Zhenyu Shu

Showing results (1-10 of 63) with videos related to

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IEEE Transactions on Visualization and Computer Graphics|September 22, 2025
DFG-PCN: Point Cloud Completion With Degree-Flexible Point GraphZhenyu Shu, Jian Yao, Shiqing Xin
BMC Medical Imaging|October 12, 2021
Developing a model for estimating infarction onset time based on computed tomography radiomics in patients with acute middle cerebral artery occlusionXuehua Wen, Zhenyu Shu, Yumei Li, et al.
IEEE Transactions on Visualization and Computer Graphics|April 28, 2025
Diff-3DCap: Shape Captioning With Diffusion ModelsZhenyu Shu, Jiawei Wen, Shiyang Li, et al.
IEEE Transactions on Visualization and Computer Graphics|July 12, 2018
Detecting 3D Points of Interest Using Multiple Features and Stacked Auto-encoderZhenyu Shu, Shiqing Xin, Xin Xu, et al.
European Neurology|November 5, 2023
Prediction of Mild Cognitive Impairment Progression to Alzheimer's Disease Based on Diffusion Tensor Imaging-Derived Diffusion Parameters: Construction and Validation of a NomogramXuefei Cheng, Dongxue Li, Jiaxuan Peng, et al.
Journal of Thoracic Imaging|June 20, 2020
A Novel Machine Learning-derived Radiomic Signature of the Whole Lung Differentiates Stable From Progressive COVID-19 Infection: A Retrospective Cohort StudyLiping Fu, Yongchou Li, Aiping Cheng, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|March 12, 2024
Semi-Supervised 3D Shape Segmentation via Self RefiningZhenyu Shu, Teng Wu, Jiajun Shen, et al.
RSC Advances|November 27, 2024
Application of machine learning in developing a quantitative structure-property relationship model for predicting the thermal decomposition temperature of nitrogen-rich energetic ionic saltsYunling Zhang, Liang Fan, Chao Su, et al.
Scientific Reports|September 11, 2024
Interpretable multitemporal liver function indicator model for prediction and risk factor analysis of drug induced liver injuryZhongyu Yuan, Jiaxuan Peng, Zhenyu Shu, et al.
European Radiology|February 23, 2020
Radiomics from magnetic resonance imaging may be used to predict the progression of white matter hyperintensities and identify associated risk factorsZhenyu Shu, Yuyun Xu, Yuan Shao, et al.
Pageof 7

Showing results (1-10 of 63) with videos related to

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Pageof 7
IEEE Transactions on Visualization and Computer Graphics|September 22, 2025
DFG-PCN: Point Cloud Completion With Degree-Flexible Point GraphZhenyu Shu, Jian Yao, Shiqing Xin
BMC Medical Imaging|October 12, 2021
Developing a model for estimating infarction onset time based on computed tomography radiomics in patients with acute middle cerebral artery occlusionXuehua Wen, Zhenyu Shu, Yumei Li, et al.
IEEE Transactions on Visualization and Computer Graphics|April 28, 2025
Diff-3DCap: Shape Captioning With Diffusion ModelsZhenyu Shu, Jiawei Wen, Shiyang Li, et al.
IEEE Transactions on Visualization and Computer Graphics|July 12, 2018
Detecting 3D Points of Interest Using Multiple Features and Stacked Auto-encoderZhenyu Shu, Shiqing Xin, Xin Xu, et al.
European Neurology|November 5, 2023
Prediction of Mild Cognitive Impairment Progression to Alzheimer's Disease Based on Diffusion Tensor Imaging-Derived Diffusion Parameters: Construction and Validation of a NomogramXuefei Cheng, Dongxue Li, Jiaxuan Peng, et al.
Journal of Thoracic Imaging|June 20, 2020
A Novel Machine Learning-derived Radiomic Signature of the Whole Lung Differentiates Stable From Progressive COVID-19 Infection: A Retrospective Cohort StudyLiping Fu, Yongchou Li, Aiping Cheng, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|March 12, 2024
Semi-Supervised 3D Shape Segmentation via Self RefiningZhenyu Shu, Teng Wu, Jiajun Shen, et al.
RSC Advances|November 27, 2024
Application of machine learning in developing a quantitative structure-property relationship model for predicting the thermal decomposition temperature of nitrogen-rich energetic ionic saltsYunling Zhang, Liang Fan, Chao Su, et al.
Scientific Reports|September 11, 2024
Interpretable multitemporal liver function indicator model for prediction and risk factor analysis of drug induced liver injuryZhongyu Yuan, Jiaxuan Peng, Zhenyu Shu, et al.
European Radiology|February 23, 2020
Radiomics from magnetic resonance imaging may be used to predict the progression of white matter hyperintensities and identify associated risk factorsZhenyu Shu, Yuyun Xu, Yuan Shao, et al.
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