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Yinqiao Yi

Showing results (1-10 of 7) with videos related to

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Medical Physics|September 5, 2025
Conventional, time-dependent, and continuous-time random-walk diffusion-weighted imaging models in microstructural characterization of breast lesions at 3.0T: A prospective analysisXue Li, Yinqiao Yi, Yanglei Wu, et al.
Cancer Cell International|October 19, 2021
Preliminary study of 3 T-MRI native T1-mapping radiomics in differential diagnosis of non-calcified solid pulmonary nodules/massesQinqin Yan, Yinqiao Yi, Jie Shen, et al.
Technology and Health Care : Official Journal of the European Society for Engineering and Medicine|August 30, 2024
Automatic anal sphincter integrity detection from ultrasound images via convolutional neural networksBin Chen, Yinqiao Yi, Chengxiu Zhang, et al.
European Radiology|June 24, 2022
MRI-based radiomics signature for identification of invisible basal cisterns changes in tuberculous meningitis: a preliminary multicenter studyQiong Ma, Yinqiao Yi, Tiejun Liu, et al.
European Radiology|April 28, 2020
Deep learning for the determination of myometrial invasion depth and automatic lesion identification in endometrial cancer MR imaging: a preliminary study in a single institutionXiaojun Chen, Yida Wang, Minhua Shen, et al.
British Journal of Cancer|January 4, 2023
PI-RADS<sup>AI</sup>: introducing a new human-in-the-loop AI model for prostate cancer diagnosis based on MRIRuiqi Yu, Ke-Wen Jiang, Jie Bao, et al.
Medical Physics|March 19, 2026
A physics-driven neural network with parameter embedding for generating quantitative MR maps from weighted imagesLingjing Chen, Chengxiu Zhang, Yinqiao Yi, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Medical Physics|September 5, 2025
Conventional, time-dependent, and continuous-time random-walk diffusion-weighted imaging models in microstructural characterization of breast lesions at 3.0T: A prospective analysisXue Li, Yinqiao Yi, Yanglei Wu, et al.
Cancer Cell International|October 19, 2021
Preliminary study of 3 T-MRI native T1-mapping radiomics in differential diagnosis of non-calcified solid pulmonary nodules/massesQinqin Yan, Yinqiao Yi, Jie Shen, et al.
Technology and Health Care : Official Journal of the European Society for Engineering and Medicine|August 30, 2024
Automatic anal sphincter integrity detection from ultrasound images via convolutional neural networksBin Chen, Yinqiao Yi, Chengxiu Zhang, et al.
European Radiology|June 24, 2022
MRI-based radiomics signature for identification of invisible basal cisterns changes in tuberculous meningitis: a preliminary multicenter studyQiong Ma, Yinqiao Yi, Tiejun Liu, et al.
European Radiology|April 28, 2020
Deep learning for the determination of myometrial invasion depth and automatic lesion identification in endometrial cancer MR imaging: a preliminary study in a single institutionXiaojun Chen, Yida Wang, Minhua Shen, et al.
British Journal of Cancer|January 4, 2023
PI-RADS<sup>AI</sup>: introducing a new human-in-the-loop AI model for prostate cancer diagnosis based on MRIRuiqi Yu, Ke-Wen Jiang, Jie Bao, et al.
Medical Physics|March 19, 2026
A physics-driven neural network with parameter embedding for generating quantitative MR maps from weighted imagesLingjing Chen, Chengxiu Zhang, Yinqiao Yi, et al.
Pageof 1