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Ruifang Yan

Showing results (1-10 of 30) with videos related to

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I-Perception|December 2, 2022
Heading perception from optic flow is affected by heading distributionQi Sun, Ruifang Yan, Jingyi Wang, et al.
Analytical and Bioanalytical Chemistry|June 10, 2010
Development of a novel enzyme reactor and application as a chemiluminescence flow-through biosensorChunyan Yang, Zhujun Zhang, Zuolong Shi, et al.
Pediatrics and Neonatology|September 3, 2017
Diagnostic value of conventional MRI combined with DTI for neonatal hyperbilirubinemiaRuifang Yan, Dongming Han, Jipeng Ren, et al.
Journal of Magnetic Resonance Imaging : JMRI|May 20, 2020
Prediction Model for Intermediate-Stage Hepatocellular Carcinoma Response to Transarterial ChemoembolizationFei Jia, Baolin Wu, Ruifang Yan, et al.
Talanta|August 6, 2010
Application of a novel co-enzyme reactor in chemiluminescence flow-through biosensor for determination of lactoseChunyan Yang, Zhujun Zhang, Zuolong Shi, et al.
Frontiers in Neuroscience|June 7, 2022
Abnormal Dynamic Functional Connectivity in Patients With End-Stage Renal DiseaseXuekun Li, Ruifang Yan, Zheng Yue, et al.
Experimental and Therapeutic Medicine|February 14, 2018
Comparative analysis of 3D time-resolved contrast-enhanced magnetic resonance angiography, color Doppler ultrasound and digital subtraction angiography in symptomatic carotid stenosisHongkai Cui, Ruifang Yan, Zhansheng Zhai, et al.
Experimental and Therapeutic Medicine|August 13, 2013
Clinical features and magnetic resonance image analysis of 15 cases of demyelinating leukoencephalopathy induced by levamisoleRuifang Yan, Qingwu Wu, Jipeng Ren, et al.
Abdominal Radiology (New York)|June 4, 2026
Evaluating the efficacy of virtual magnetic resonance elastography and continuous-time random walk models in predicting clinically significant prostate cancerMeng Zhang, Endian Zhao, Xuekun Li, et al.
Neurology and Therapy|July 24, 2023
Multimodality MRI Radiomics Based on Machine Learning for Identifying True Tumor Recurrence and Treatment-Related Effects in Patients with Postoperative GliomaJinfa Ren, Xiaoyang Zhai, Huijia Yin, et al.
Pageof 3

Showing results (1-10 of 30) with videos related to

Sort By:
Pageof 3
I-Perception|December 2, 2022
Heading perception from optic flow is affected by heading distributionQi Sun, Ruifang Yan, Jingyi Wang, et al.
Analytical and Bioanalytical Chemistry|June 10, 2010
Development of a novel enzyme reactor and application as a chemiluminescence flow-through biosensorChunyan Yang, Zhujun Zhang, Zuolong Shi, et al.
Pediatrics and Neonatology|September 3, 2017
Diagnostic value of conventional MRI combined with DTI for neonatal hyperbilirubinemiaRuifang Yan, Dongming Han, Jipeng Ren, et al.
Journal of Magnetic Resonance Imaging : JMRI|May 20, 2020
Prediction Model for Intermediate-Stage Hepatocellular Carcinoma Response to Transarterial ChemoembolizationFei Jia, Baolin Wu, Ruifang Yan, et al.
Talanta|August 6, 2010
Application of a novel co-enzyme reactor in chemiluminescence flow-through biosensor for determination of lactoseChunyan Yang, Zhujun Zhang, Zuolong Shi, et al.
Frontiers in Neuroscience|June 7, 2022
Abnormal Dynamic Functional Connectivity in Patients With End-Stage Renal DiseaseXuekun Li, Ruifang Yan, Zheng Yue, et al.
Experimental and Therapeutic Medicine|February 14, 2018
Comparative analysis of 3D time-resolved contrast-enhanced magnetic resonance angiography, color Doppler ultrasound and digital subtraction angiography in symptomatic carotid stenosisHongkai Cui, Ruifang Yan, Zhansheng Zhai, et al.
Experimental and Therapeutic Medicine|August 13, 2013
Clinical features and magnetic resonance image analysis of 15 cases of demyelinating leukoencephalopathy induced by levamisoleRuifang Yan, Qingwu Wu, Jipeng Ren, et al.
Abdominal Radiology (New York)|June 4, 2026
Evaluating the efficacy of virtual magnetic resonance elastography and continuous-time random walk models in predicting clinically significant prostate cancerMeng Zhang, Endian Zhao, Xuekun Li, et al.
Neurology and Therapy|July 24, 2023
Multimodality MRI Radiomics Based on Machine Learning for Identifying True Tumor Recurrence and Treatment-Related Effects in Patients with Postoperative GliomaJinfa Ren, Xiaoyang Zhai, Huijia Yin, et al.
Pageof 3