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Feng Hua Ma

Showing results (21-30 of 29) with videos related to

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Journal of Computer Assisted Tomography|May 16, 2015
Primary ovarian endometrioid adenocarcinoma: magnetic resonance imaging findings including a preliminary observation on diffusion-weighted imagingHai Ming Li, Jin Wei Qiang, Gan Lin Xia, et al.
Journal of Ovarian Research|May 1, 2015
MRI for differentiating ovarian endometrioid adenocarcinoma from high-grade serous adenocarcinomaHai Ming Li, Jin Wei Qiang, Gan Lin Xia, et al.
American Journal of Cancer Research|April 12, 2022
An MRI radiomics nomogram improves the accuracy in identifying eligible candidates for fertility-preserving treatment in endometrioid adenocarcinomaBi-Cong Yan, Feng-Hua Ma, Ying Li, et al.
Academic Radiology|February 17, 2020
Prediction of Platinum-based Chemotherapy Response in Advanced High-grade Serous Ovarian Cancer: ADC Histogram Analysis of Primary TumorsJing Lu, Hai Ming Li, Song Qi Cai, et al.
Insights Into Imaging|February 9, 2026
Primary tumor-derived, multiparametric MRI-based deep learning-radiomics-clinical model for predicting lymph node metastasis in early-stage cervical cancerYu Hao Bao, Yan Chen, Mei Ling Xiao, et al.
Radiology. Imaging Cancer|April 3, 2026
Multiparametric MRI-based Deep Learning and Radiomics for Evaluating Lymph Node Metastasis in Early-Stage Cervical CancerYu Hao Bao, Mei Ling Xiao, Yong Ai Li, et al.
Frontiers in Oncology|December 30, 2024
The deep learning radiomics nomogram helps to evaluate the lymph node status in cervical adenocarcinoma/adenosquamous carcinomaMei Ling Xiao, Le Fu, Ting Qian, et al.
European Radiology|August 23, 2023
Intratumoral and peritumoral MRI radiomics nomogram for predicting parametrial invasion in patients with early-stage cervical adenocarcinoma and adenosquamous carcinomaMei Ling Xiao, Le Fu, Yan Wei, et al.
Journal of Magnetic Resonance Imaging : JMRI|July 1, 2023
Deep Learning Nomogram for the Identification of Deep Stromal Invasion in Patients With Early-Stage Cervical Adenocarcinoma and Adenosquamous Carcinoma: A Multicenter StudyMei Ling Xiao, Ting Qian, Le Fu, et al.
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Showing results (21-30 of 29) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 29 results.
Journal of Computer Assisted Tomography|May 16, 2015
Primary ovarian endometrioid adenocarcinoma: magnetic resonance imaging findings including a preliminary observation on diffusion-weighted imagingHai Ming Li, Jin Wei Qiang, Gan Lin Xia, et al.
Journal of Ovarian Research|May 1, 2015
MRI for differentiating ovarian endometrioid adenocarcinoma from high-grade serous adenocarcinomaHai Ming Li, Jin Wei Qiang, Gan Lin Xia, et al.
American Journal of Cancer Research|April 12, 2022
An MRI radiomics nomogram improves the accuracy in identifying eligible candidates for fertility-preserving treatment in endometrioid adenocarcinomaBi-Cong Yan, Feng-Hua Ma, Ying Li, et al.
Academic Radiology|February 17, 2020
Prediction of Platinum-based Chemotherapy Response in Advanced High-grade Serous Ovarian Cancer: ADC Histogram Analysis of Primary TumorsJing Lu, Hai Ming Li, Song Qi Cai, et al.
Insights Into Imaging|February 9, 2026
Primary tumor-derived, multiparametric MRI-based deep learning-radiomics-clinical model for predicting lymph node metastasis in early-stage cervical cancerYu Hao Bao, Yan Chen, Mei Ling Xiao, et al.
Radiology. Imaging Cancer|April 3, 2026
Multiparametric MRI-based Deep Learning and Radiomics for Evaluating Lymph Node Metastasis in Early-Stage Cervical CancerYu Hao Bao, Mei Ling Xiao, Yong Ai Li, et al.
Frontiers in Oncology|December 30, 2024
The deep learning radiomics nomogram helps to evaluate the lymph node status in cervical adenocarcinoma/adenosquamous carcinomaMei Ling Xiao, Le Fu, Ting Qian, et al.
European Radiology|August 23, 2023
Intratumoral and peritumoral MRI radiomics nomogram for predicting parametrial invasion in patients with early-stage cervical adenocarcinoma and adenosquamous carcinomaMei Ling Xiao, Le Fu, Yan Wei, et al.
Journal of Magnetic Resonance Imaging : JMRI|July 1, 2023
Deep Learning Nomogram for the Identification of Deep Stromal Invasion in Patients With Early-Stage Cervical Adenocarcinoma and Adenosquamous Carcinoma: A Multicenter StudyMei Ling Xiao, Ting Qian, Le Fu, et al.
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