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Mengqiu Cui

Showing results (1-10 of 12) with videos related to

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Skeletal Radiology|June 7, 2024
Effects of axial loading and positions on lumbar spinal stenosis: an MRI study using a new axial loading deviceXingyu Fang, Mengqiu Cui, Yingwei Wang, et al.
Insights Into Imaging|July 3, 2025
Diagnostic performance of the clear cell likelihood score integrated with cystic degeneration or necrosis on MR imaging for identifying clear cell renal cell carcinoma in cT1 solid renal massesXueyi Ning, Mengqiu Cui, Huiping Guo, et al.
BMC Surgery|December 20, 2023
Long-term survival and portal vein patency with novel PVTT surgery approach in advanced HCC patients with Vp3/4 PVTT following combination therapy of TKIs and PD-1 inhibitorsTianyu Jiao, Haowen Tang, Wenwen Zhang, et al.
Abdominal Radiology (New York)|February 19, 2025
A simple method based on qualitative MRI features for characterizing clear cell renal cell carcinoma in small renal masses: comparison with the clear cell likelihood scoreMengqiu Cui, Xueyi Ning, Huiping Guo, et al.
Abdominal Radiology (New York)|January 27, 2025
Lesion-based grading system using clinicopathological and MRI features for predicting positive surgical margins in prostate cancerHonghao Xu, Di Chen, Yuanhao Ma, et al.
BMC Cancer|March 18, 2026
Development and validation of a preoperative grading system incorporating MRI and clinicopathological features to predict positive surgical margins in robot-assisted laparoscopic prostatectomyHonghao Xu, Yuanhao Ma, Xueyi Ning, et al.
Academic Radiology|February 18, 2026
MRI-Based Habitat Radiomics for Predicting Postoperative Recurrence in Nonmetastatic Clear Cell Renal Cell CarcinomaSicheng Yi, Tongyu Jia, Xu Bai, et al.
Abdominal Radiology (New York)|October 31, 2025
Artificial intelligence-based segmentation of small renal masses: a multi-center, multi-scanner, multi-sequence studyMengqiu Cui, Zilong Zeng, Silu Chen, et al.
The British Journal of Radiology|February 6, 2026
Automated Segmentation of Complicated Cystic Renal Masses Using 3D V-Net Convolutional Neural Network on MRIHuanhuan Kang, Chuang Jia, Zhongyi Wang, et al.
Academic Radiology|January 19, 2024
Multiparametric MRI-Based Machine Learning Models for the Characterization of Cystic Renal Masses Compared to the Bosniak Classification, Version 2019: A Multicenter StudyHuanhuan Kang, Wanfang Xie, He Wang, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Skeletal Radiology|June 7, 2024
Effects of axial loading and positions on lumbar spinal stenosis: an MRI study using a new axial loading deviceXingyu Fang, Mengqiu Cui, Yingwei Wang, et al.
Insights Into Imaging|July 3, 2025
Diagnostic performance of the clear cell likelihood score integrated with cystic degeneration or necrosis on MR imaging for identifying clear cell renal cell carcinoma in cT1 solid renal massesXueyi Ning, Mengqiu Cui, Huiping Guo, et al.
BMC Surgery|December 20, 2023
Long-term survival and portal vein patency with novel PVTT surgery approach in advanced HCC patients with Vp3/4 PVTT following combination therapy of TKIs and PD-1 inhibitorsTianyu Jiao, Haowen Tang, Wenwen Zhang, et al.
Abdominal Radiology (New York)|February 19, 2025
A simple method based on qualitative MRI features for characterizing clear cell renal cell carcinoma in small renal masses: comparison with the clear cell likelihood scoreMengqiu Cui, Xueyi Ning, Huiping Guo, et al.
Abdominal Radiology (New York)|January 27, 2025
Lesion-based grading system using clinicopathological and MRI features for predicting positive surgical margins in prostate cancerHonghao Xu, Di Chen, Yuanhao Ma, et al.
BMC Cancer|March 18, 2026
Development and validation of a preoperative grading system incorporating MRI and clinicopathological features to predict positive surgical margins in robot-assisted laparoscopic prostatectomyHonghao Xu, Yuanhao Ma, Xueyi Ning, et al.
Academic Radiology|February 18, 2026
MRI-Based Habitat Radiomics for Predicting Postoperative Recurrence in Nonmetastatic Clear Cell Renal Cell CarcinomaSicheng Yi, Tongyu Jia, Xu Bai, et al.
Abdominal Radiology (New York)|October 31, 2025
Artificial intelligence-based segmentation of small renal masses: a multi-center, multi-scanner, multi-sequence studyMengqiu Cui, Zilong Zeng, Silu Chen, et al.
The British Journal of Radiology|February 6, 2026
Automated Segmentation of Complicated Cystic Renal Masses Using 3D V-Net Convolutional Neural Network on MRIHuanhuan Kang, Chuang Jia, Zhongyi Wang, et al.
Academic Radiology|January 19, 2024
Multiparametric MRI-Based Machine Learning Models for the Characterization of Cystic Renal Masses Compared to the Bosniak Classification, Version 2019: A Multicenter StudyHuanhuan Kang, Wanfang Xie, He Wang, et al.
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