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Yuwei Xia

Showing results (61-70 of 91) with videos related to

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Life Sciences|November 28, 2023
Review on chronic metabolic diseases surrounding bile acids and gut microbiota: What we have explored so farZhenzheng Zhu, Yuemiao Xu, Yuwei Xia, et al.
European Journal of Radiology|September 18, 2020
Value of MR-based radiomics in differentiating uveal melanoma from other intraocular masses in adultsYaping Su, Xiaolin Xu, Panli Zuo, et al.
European Radiology|September 22, 2025
MRI-based habitat analysis for pathologic response prediction after neoadjuvant chemoradiotherapy in rectal cancer: a multicenter studyQiaoling Chen, Qianwen Zhang, Zhihui Li, et al.
Nature Communications|September 2, 2022
Chimeric natural products derived from medermycin and the nature-inspired construction of their polycyclic skeletonsShupeng Yin, Zhi Liu, Jingjing Shen, et al.
Frontiers in Medicine|January 22, 2024
Automatic diagnosis of Parkinson's disease using artificial intelligence base on routine T1-weighted MRIChang Li, Dongming Hui, Faqi Wu, et al.
Abdominal Radiology (New York)|February 15, 2022
Multi-parameter diffusion and perfusion magnetic resonance imaging and radiomics nomogram for preoperative evaluation of aquaporin-1 expression in rectal cancerYidi Chen, Basen Li, Zijian Jiang, et al.
BMC Medical Imaging|March 14, 2026
Automatic identification of different stage of Alzheimer's disease using multimodal MRI and artificial intelligenceXingyan Le, Mingguang Yang, Chang Li, et al.
BMC Medical Imaging|October 25, 2024
Predicting pathological complete response following neoadjuvant chemoradiotherapy (nCRT) in patients with locally advanced rectal cancer using merged model integrating MRI-based radiomics and deep learning dataHaidi Lu, Yuan Yuan, Minglu Liu, et al.
Frontiers in Oncology|June 10, 2021
Predicting Treatment Response to Neoadjuvant Chemoradiotherapy in Rectal Mucinous Adenocarcinoma Using an MRI-Based Radiomics NomogramZhihui Li, Shuai Li, Shuqin Zang, et al.
Abdominal Radiology (New York)|March 10, 2022
Is rectal filling optimal for MRI-based radiomics in preoperative T staging of rectal cancer?Yuan Yuan, Haidi Lu, Xiaolu Ma, et al.
Pageof 10

Showing results (61-70 of 91) with videos related to

Sort By:
Pageof 10
Life Sciences|November 28, 2023
Review on chronic metabolic diseases surrounding bile acids and gut microbiota: What we have explored so farZhenzheng Zhu, Yuemiao Xu, Yuwei Xia, et al.
European Journal of Radiology|September 18, 2020
Value of MR-based radiomics in differentiating uveal melanoma from other intraocular masses in adultsYaping Su, Xiaolin Xu, Panli Zuo, et al.
European Radiology|September 22, 2025
MRI-based habitat analysis for pathologic response prediction after neoadjuvant chemoradiotherapy in rectal cancer: a multicenter studyQiaoling Chen, Qianwen Zhang, Zhihui Li, et al.
Nature Communications|September 2, 2022
Chimeric natural products derived from medermycin and the nature-inspired construction of their polycyclic skeletonsShupeng Yin, Zhi Liu, Jingjing Shen, et al.
Frontiers in Medicine|January 22, 2024
Automatic diagnosis of Parkinson's disease using artificial intelligence base on routine T1-weighted MRIChang Li, Dongming Hui, Faqi Wu, et al.
Abdominal Radiology (New York)|February 15, 2022
Multi-parameter diffusion and perfusion magnetic resonance imaging and radiomics nomogram for preoperative evaluation of aquaporin-1 expression in rectal cancerYidi Chen, Basen Li, Zijian Jiang, et al.
BMC Medical Imaging|March 14, 2026
Automatic identification of different stage of Alzheimer's disease using multimodal MRI and artificial intelligenceXingyan Le, Mingguang Yang, Chang Li, et al.
BMC Medical Imaging|October 25, 2024
Predicting pathological complete response following neoadjuvant chemoradiotherapy (nCRT) in patients with locally advanced rectal cancer using merged model integrating MRI-based radiomics and deep learning dataHaidi Lu, Yuan Yuan, Minglu Liu, et al.
Frontiers in Oncology|June 10, 2021
Predicting Treatment Response to Neoadjuvant Chemoradiotherapy in Rectal Mucinous Adenocarcinoma Using an MRI-Based Radiomics NomogramZhihui Li, Shuai Li, Shuqin Zang, et al.
Abdominal Radiology (New York)|March 10, 2022
Is rectal filling optimal for MRI-based radiomics in preoperative T staging of rectal cancer?Yuan Yuan, Haidi Lu, Xiaolu Ma, et al.
Pageof 10