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Ruokun Li

Showing results (21-30 of 36) with videos related to

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Cancers|June 10, 2022
Added Value of Viscoelasticity for MRI-Based Prediction of Ki-67 Expression of Hepatocellular Carcinoma Using a Deep Learning Combined Radiomics (DLCR) ModelXumei Hu, Jiahao Zhou, Yan Li, et al.
Physics in Medicine and Biology|March 29, 2021
Feasibility of automatic detection of small hepatocellular carcinoma (≤2 cm) in cirrhotic liver based on pattern matching and deep learningRencheng Zheng, Luna Wang, Chengyan Wang, et al.
Journal of Clinical and Translational Hepatology|November 16, 2022
Noninvasive Assessment of Liver Fibrosis and Inflammation in Chronic Hepatitis B: A Dual-task Convolutional Neural Network (DtCNN) Model Based on Ultrasound Shear Wave ElastographyChengyan Wang, Lili Zheng, Yan Li, et al.
Frontiers in Oncology|December 15, 2022
Reduced tumor stiffness quantified by tomoelastography as a predicative marker for glypican-3-positive hepatocellular carcinomaYihuan Wang, Jing Guo, Di Ma, et al.
Insights Into Imaging|May 17, 2023
Three-dimensional multifrequency magnetic resonance elastography improves preoperative assessment of proliferative hepatocellular carcinomaGuixue Liu, Di Ma, Huafeng Wang, et al.
IEEE Transactions on Medical Imaging|April 8, 2023
MR Elastography With Optimization-Based Phase Unwrapping and Traveling Wave Expansion-Based Neural Network (TWENN)Shengyuan Ma, Runke Wang, Suhao Qiu, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|June 3, 2026
RFD: A Reducing Feature Discrepancy method for unsupervised cross-modality SAM adaptationJi Xia, Zhehan Shen, Wei Xia, et al.
Insights Into Imaging|June 3, 2022
Tomoelastography based on multifrequency MR elastography predicts liver function reserve in patients with hepatocellular carcinoma: a prospective studyHuimin Lin, Yihuan Wang, Jiahao Zhou, et al.
Small (Weinheim an Der Bergstrasse, Germany)|March 25, 2025
A Nanoplatform of Reversing Tumor Immunosuppressive Microenvironment Based on the NIR-II Gold Hollow Nanorod for the Treatment of Hepatocellular CarcinomaXinyuan Cui, Cheng Cao, Wanting Hao, et al.
Journal of Magnetic Resonance Imaging : JMRI|February 12, 2024
Three-Dimensional Multifrequency MR Elastography for Microvascular Invasion and Prognosis Assessment in Hepatocellular CarcinomaGuixue Liu, Zhehan Shen, Huanhuan Chong, et al.
Pageof 4

Showing results (21-30 of 36) with videos related to

Sort By:
Pageof 4
Cancers|June 10, 2022
Added Value of Viscoelasticity for MRI-Based Prediction of Ki-67 Expression of Hepatocellular Carcinoma Using a Deep Learning Combined Radiomics (DLCR) ModelXumei Hu, Jiahao Zhou, Yan Li, et al.
Physics in Medicine and Biology|March 29, 2021
Feasibility of automatic detection of small hepatocellular carcinoma (≤2 cm) in cirrhotic liver based on pattern matching and deep learningRencheng Zheng, Luna Wang, Chengyan Wang, et al.
Journal of Clinical and Translational Hepatology|November 16, 2022
Noninvasive Assessment of Liver Fibrosis and Inflammation in Chronic Hepatitis B: A Dual-task Convolutional Neural Network (DtCNN) Model Based on Ultrasound Shear Wave ElastographyChengyan Wang, Lili Zheng, Yan Li, et al.
Frontiers in Oncology|December 15, 2022
Reduced tumor stiffness quantified by tomoelastography as a predicative marker for glypican-3-positive hepatocellular carcinomaYihuan Wang, Jing Guo, Di Ma, et al.
Insights Into Imaging|May 17, 2023
Three-dimensional multifrequency magnetic resonance elastography improves preoperative assessment of proliferative hepatocellular carcinomaGuixue Liu, Di Ma, Huafeng Wang, et al.
IEEE Transactions on Medical Imaging|April 8, 2023
MR Elastography With Optimization-Based Phase Unwrapping and Traveling Wave Expansion-Based Neural Network (TWENN)Shengyuan Ma, Runke Wang, Suhao Qiu, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|June 3, 2026
RFD: A Reducing Feature Discrepancy method for unsupervised cross-modality SAM adaptationJi Xia, Zhehan Shen, Wei Xia, et al.
Insights Into Imaging|June 3, 2022
Tomoelastography based on multifrequency MR elastography predicts liver function reserve in patients with hepatocellular carcinoma: a prospective studyHuimin Lin, Yihuan Wang, Jiahao Zhou, et al.
Small (Weinheim an Der Bergstrasse, Germany)|March 25, 2025
A Nanoplatform of Reversing Tumor Immunosuppressive Microenvironment Based on the NIR-II Gold Hollow Nanorod for the Treatment of Hepatocellular CarcinomaXinyuan Cui, Cheng Cao, Wanting Hao, et al.
Journal of Magnetic Resonance Imaging : JMRI|February 12, 2024
Three-Dimensional Multifrequency MR Elastography for Microvascular Invasion and Prognosis Assessment in Hepatocellular CarcinomaGuixue Liu, Zhehan Shen, Huanhuan Chong, et al.
Pageof 4