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Yuwei Xia

Showing results (51-60 of 91) with videos related to

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Biomed Research International|August 29, 2022
Predicting Mismatch-Repair Status in Rectal Cancer Using Multiparametric MRI-Based Radiomics Models: A Preliminary StudyGuodong Jing, Yukun Chen, Xiaolu Ma, et al.
BMC Medical Imaging|July 2, 2025
Automatic recognition and differentiation of pulmonary contusion and bacterial pneumonia based on deep learning and radiomicsTie Deng, Junbang Feng, Xingyan Le, et al.
Journal of Magnetic Resonance Imaging : JMRI|March 25, 2023
Deep Learning With an Attention Mechanism for Differentiating the Origin of Brain Metastasis Using MR imagesTianyu Jiao, Fuyan Li, Yi Cui, et al.
European Radiology|June 2, 2023
Prediction of Ki-67 expression in gastrointestinal stromal tumors using radiomics of plain and multiphase contrast-enhanced CTYun Liu, ChangYin He, Weidong Fang, et al.
BMC Medical Imaging|May 1, 2025
A deep learning algorithm for automated adrenal gland segmentation on non-contrast CT imagesFanxing Meng, Tuo Zhang, Yukun Pan, et al.
European Journal of Radiology|November 23, 2019
Clear cell renal cell carcinoma: Machine learning-based computed tomography radiomics analysis for the prediction of WHO/ISUP gradeJun Shu, Didi Wen, Yibin Xi, et al.
Academic Radiology|November 9, 2020
MRI-Based Radiomics of Rectal Cancer: Assessment of the Local Recurrence at the Site of AnastomosisFangying Chen, Xiaolu Ma, Shuai Li, et al.
Neuroscience Letters|June 26, 2021
Differentiating Parkinson's disease motor subtypes: A radiomics analysis based on deep gray nuclear lesion and white matterDong Sun, Xiaojia Wu, Yuwei Xia, et al.
Frontiers in Neurology|October 27, 2025
Automatic diagnosis of type 2 diabetes mellitus with mild cognitive impairment using artificial intelligence based on routine T1-weighted MRIChang Li, Jun Zhang, Bo Xue, et al.
American Journal of Alzheimer'S Disease and Other Dementias|March 14, 2025
Automatic Detection of Cognitive Impairment in Patients With White Matter Hyperintensity Using Deep Learning and RadiomicsJunbang Feng, Xingyan Le, Li Li, et al.
Pageof 10

Showing results (51-60 of 91) with videos related to

Sort By:
Pageof 10
Biomed Research International|August 29, 2022
Predicting Mismatch-Repair Status in Rectal Cancer Using Multiparametric MRI-Based Radiomics Models: A Preliminary StudyGuodong Jing, Yukun Chen, Xiaolu Ma, et al.
BMC Medical Imaging|July 2, 2025
Automatic recognition and differentiation of pulmonary contusion and bacterial pneumonia based on deep learning and radiomicsTie Deng, Junbang Feng, Xingyan Le, et al.
Journal of Magnetic Resonance Imaging : JMRI|March 25, 2023
Deep Learning With an Attention Mechanism for Differentiating the Origin of Brain Metastasis Using MR imagesTianyu Jiao, Fuyan Li, Yi Cui, et al.
European Radiology|June 2, 2023
Prediction of Ki-67 expression in gastrointestinal stromal tumors using radiomics of plain and multiphase contrast-enhanced CTYun Liu, ChangYin He, Weidong Fang, et al.
BMC Medical Imaging|May 1, 2025
A deep learning algorithm for automated adrenal gland segmentation on non-contrast CT imagesFanxing Meng, Tuo Zhang, Yukun Pan, et al.
European Journal of Radiology|November 23, 2019
Clear cell renal cell carcinoma: Machine learning-based computed tomography radiomics analysis for the prediction of WHO/ISUP gradeJun Shu, Didi Wen, Yibin Xi, et al.
Academic Radiology|November 9, 2020
MRI-Based Radiomics of Rectal Cancer: Assessment of the Local Recurrence at the Site of AnastomosisFangying Chen, Xiaolu Ma, Shuai Li, et al.
Neuroscience Letters|June 26, 2021
Differentiating Parkinson's disease motor subtypes: A radiomics analysis based on deep gray nuclear lesion and white matterDong Sun, Xiaojia Wu, Yuwei Xia, et al.
Frontiers in Neurology|October 27, 2025
Automatic diagnosis of type 2 diabetes mellitus with mild cognitive impairment using artificial intelligence based on routine T1-weighted MRIChang Li, Jun Zhang, Bo Xue, et al.
American Journal of Alzheimer'S Disease and Other Dementias|March 14, 2025
Automatic Detection of Cognitive Impairment in Patients With White Matter Hyperintensity Using Deep Learning and RadiomicsJunbang Feng, Xingyan Le, Li Li, et al.
Pageof 10