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Zekuan Yu

Showing results (31-40 of 37) with videos related to

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Environmental Research|May 21, 2025
Beta-amyloid deposition increases in the brain with the progression of silicosis: a [<sup>18</sup>F] AV45 PET study in miceZekuan Yu, Mengwen Ye, Jiacheng Yang, et al.
BMC Medical Imaging|December 9, 2021
Pneumoconiosis computer aided diagnosis system based on X-rays and deep learningFan Yang, Zhi-Ri Tang, Jing Chen, et al.
Journal of Magnetic Resonance Imaging : JMRI|March 11, 2021
Deep Learning for Automatic Differential Diagnosis of Primary Central Nervous System Lymphoma and Glioblastoma: Multi-Parametric Magnetic Resonance Imaging Based Convolutional Neural Network ModelWei Xia, Bin Hu, Haiqing Li, et al.
Journal of Biophotonics|June 7, 2019
A deep learning based pipeline for optical coherence tomography angiographyXi Liu, Zhiyu Huang, Zhenzhou Wang, et al.
Translational Cancer Research|January 16, 2025
Radiomic signatures of brain metastases on MRI: utility in predicting pathological subtypes of lung cancerLinlin Sun, Shihai Luan, Liheng Yu, et al.
European Radiology|July 28, 2023
Development and validation of a radiomics-based prediction pipeline for the response to stereotactic radiosurgery therapy in brain metastasesPeng Du, Xiao Liu, Rui Xiang, et al.
European Journal of Radiology|December 4, 2022
An integrative non-invasive malignant brain tumors classification and Ki-67 labeling index prediction pipeline with radiomics approachLan Zhang, Xiao Liu, Xia Xu, et al.
Pageof 4

Showing results (31-40 of 37) with videos related to

Sort By:
Pageof 4
You have reached the last page of results.This site can display upto 37 results.
Environmental Research|May 21, 2025
Beta-amyloid deposition increases in the brain with the progression of silicosis: a [<sup>18</sup>F] AV45 PET study in miceZekuan Yu, Mengwen Ye, Jiacheng Yang, et al.
BMC Medical Imaging|December 9, 2021
Pneumoconiosis computer aided diagnosis system based on X-rays and deep learningFan Yang, Zhi-Ri Tang, Jing Chen, et al.
Journal of Magnetic Resonance Imaging : JMRI|March 11, 2021
Deep Learning for Automatic Differential Diagnosis of Primary Central Nervous System Lymphoma and Glioblastoma: Multi-Parametric Magnetic Resonance Imaging Based Convolutional Neural Network ModelWei Xia, Bin Hu, Haiqing Li, et al.
Journal of Biophotonics|June 7, 2019
A deep learning based pipeline for optical coherence tomography angiographyXi Liu, Zhiyu Huang, Zhenzhou Wang, et al.
Translational Cancer Research|January 16, 2025
Radiomic signatures of brain metastases on MRI: utility in predicting pathological subtypes of lung cancerLinlin Sun, Shihai Luan, Liheng Yu, et al.
European Radiology|July 28, 2023
Development and validation of a radiomics-based prediction pipeline for the response to stereotactic radiosurgery therapy in brain metastasesPeng Du, Xiao Liu, Rui Xiang, et al.
European Journal of Radiology|December 4, 2022
An integrative non-invasive malignant brain tumors classification and Ki-67 labeling index prediction pipeline with radiomics approachLan Zhang, Xiao Liu, Xia Xu, et al.
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