1. Hoskin, Peter 英国 Mount Vernon Cancer Center Functional Magnetic Resonance Imaging in Cervical Cancer Diagnosis and Treatment
2. U. Rajendra,Acharya 新加坡 Ngee Ann Polytechnic Gynecological cancer prognosis using machine learning techniques: A systematic review of the last th..
3. Tannenbaum, Allen R. 美国 Stony Brook University Wasserstein-based texture analysis in radiomic studies
4. 颜婉嫦 中国 香港大学 Radiomic Features of T2-weighted Imaging and Diffusion Kurtosis Imaging in Differentiating Clinicopa..
5. Chan Kyo,Kim 韩国 Sungkyunkwan University Magnetic resonance imaging-based texture analysis for the prediction of postoperative clinical outco..
6. Agnes,Noel 比利时 University of Liege Tumor Microenvironment Modifications Recorded With IVIM Perfusion Analysis and DCE-MRI After Neoadju..
7. van Laarhoven, Hanneke W. M. 荷兰 University of AMSTERDAM Improved unsupervised physics-informed deep learning for intravoxel incoherent motion modeling and e..
8. Evis,Sala 英国 University of Cambridge Staging, recurrence and follow-up of uterine cervical cancer using MRI: Updated Guidelines of the Eu..
9. Ann-Lii,Cheng 中国 国立台湾大学 Dynamic Contrast-Enhanced and Intravoxel Incoherent Motion MRI Biomarkers Are Correlated to Survival..
10. 张敏鸣 中国 浙江大学 Correlation between quantitative perfusion histogram parameters of DCE-MRI and PTEN, P-Akt and m-TOR..
11. Alexey,Surov 德国 Martin-Luther-University Halle-Wittenberg Pre-treatment Apparent Diffusion Coefficient Does Not Predict Therapy Response to Radiochemotherapy ..
12. 颜婉嫦 中国 香港大学 Association between MRI histogram features and treatment response in locally advanced cervical cance..
13. Khong, Pek-Lan 中国 香港大学 Association between MRI histogram features and treatment response in locally advanced cervical cance..
14. 杨顺发 中国 台湾中山医学大学 Updated applications of Ultrasound in Uterine Cervical Cancer
15. Remi A,Nout 荷兰 Leiden University Phantom-based quality assurance for multicenter quantitative MRI in locally advanced cervical cancer
16. 许建荣 中国 上海交通大学医学院 主任医师 The invasion status of lymphovascular space and lymph nodes in cervical cancer assessed by mono-expo..
17. Lawrence H,Schwartz 美国 Columbia University Radiomics Prediction of EGFR Status in Lung Cancer-Our Experience in Using Multiple Feature Extracto..
18. Khong, Pek-Lan 中国 香港大学 Diffusion-weighted magnetic resonance imaging of primary cervical cancer in the detection of sub-cen..
19. Yen, Tzu-Chen 中国 长庚大学 Deep learning for fully automated tumor segmentation and extraction of magnetic resonance radiomics ..
20. Lai, Chyong-Huey 中国 长庚大学 Deep learning for fully automated tumor segmentation and extraction of magnetic resonance radiomics ..