1. Ehman, Richard L. 美国 Mayo Medical School 2010美国医学院院士 Magnetic resonance elastography: from invention to standard of care
2. Bruce R,Rosen 美国 Harvard University 2010美国医学院院士 Dynamic contrast-enhanced magnetic resonance imaging of the lung reveals important pathobiology in i..
3. Ehman, Richard L. 美国 Mayo Medical School 2010美国医学院院士 Quantitative magnetic resonance imaging for chronic liver disease
4. Ehman, Richard L. 美国 Mayo Medical School 2010美国医学院院士 Magnetic Resonance vs Transient Elastography Analysis of Patients With Nonalcoholic Fatty Liver Dise..
5. Ehman, Richard L. 美国 Mayo Medical School 2010美国医学院院士 Pancreatic Stiffness Quantified with MR Elastography: Relationship to Postoperative Pancreatic Fistu..
6. Ehman, Richard L. 美国 Mayo Medical School 2010美国医学院院士 Evaluation of hepatic fibrosis: a review from the society of abdominal radiology disease focus panel
7. Ehman, Richard L. 美国 Mayo Medical School 2010美国医学院院士 Diagnostic Performance of Magnetic Resonance Elastography in Staging Liver Fibrosis: A Systematic Re..
8. Ehman, Richard L. 美国 Mayo Medical School 2010美国医学院院士 MR Elastography for the Assessment of Hepatic Fibrosis in Patients with Chronic Hepatitis B Infectio..
9. Ehman, Richard L. 美国 Mayo Medical School 2010美国医学院院士 Noninvasive Assessment of Liver Fibrosis Using Ultrasound-Based Shear Wave Measurement and Compariso..
10. Herold, Christian J. 奥地利 Medical University of Vienna 2014美国医学院院士 P4 radiology of hepatobiliary diseases with gadoxetic acid-enhanced MRI as a biomarker
11. Valérie,Vilgrain 法国 Hopital Beaujon Expert management of congenital portosystemic shunts and their complications
12. 陈海泉 中国 复旦大学上海医学院 主任医师 Hybrid deep multi-task learning radiomics approach for predicting EGFR mutation status of non-small ..
13. Takayama, Tadatoshi 日本 NIHON University Comparison between Intravoxel Incoherent Motion and Splenic Volumetry to Predict Hepatic Fibrosis St..
14. 王汉生 中国 北京大学 教授 An ensemble deep learning model for risk stratification of invasive lung adenocarcinoma using thin-s..
15. 沈锋 中国 海军军医大学 Combined Tumor Burden Score and Carbohydrate Antigen 19-9 Grading System to Predict Outcomes Among P..
16. Timothy M,Pawlik 美国 OHIO STATE University Combined Tumor Burden Score and Carbohydrate Antigen 19-9 Grading System to Predict Outcomes Among P..
17. Itaru,Endo 日本 Yokohama City University Combined Tumor Burden Score and Carbohydrate Antigen 19-9 Grading System to Predict Outcomes Among P..
18. Bex, Axel 英国 Royal Free London NHS Foundation Trust MRI Characteristics of Pediatric and Young-Adult Renal Cell Carcinoma: A Single-Center Retrospective..
19. van den Heuvel-Eibrink, Marry M. 荷兰 Princess Maxima Center Paediatric oncology MRI Characteristics of Pediatric and Young-Adult Renal Cell Carcinoma: A Single-Center Retrospective..
20. Kim, Seung Up 韩国 Yonsei University Noninvasive imaging biomarkers for liver fibrosis in nonalcoholic fatty liver disease: current and f..