1. 郑海荣 中国 中国科学院 2023中国科学院院士 Artificial intelligence in multiparametric magnetic resonance imaging: A review
2. 江涛 中国 首都医科大学 2023中国工程院院士 Preoperative Radiomics Analysis of 1p/19q Status in WHO Grade II Gliomas
3. 江涛 中国 首都医科大学 2023中国工程院院士 Radiomics Features Predict Telomerase Reverse Transcriptase Promoter Mutations in World Health Organ..
4. 王振常 中国 首都医科大学 2023中国工程院院士 Multi-scale patches convolutional neural network predicting the histological grade of hepatocellular..
5. Thomas Joseph,Vogl 德国 University of Munster Dual-Energy CT Iodine Uptake of Head and Neck: Definition of Reference Values in a Big Data Cohort
6. 陈峰 中国 山东大学 教授、博士生导师 Computational pathology-based weakly supervised prediction model for MGMT promoter methylation statu..
7. Max,Wintermark 美国 Stanford University MR Perfusion Imaging for Gliomas
8. Thomas Joseph,Vogl 德国 University of Munster Multiparametric Evaluation of Radiomics Features and Dual-Energy CT Iodine Maps for Discrimination a..
9. Daniele,Marin 美国 Duke University Dual-Energy Computed Tomography to Photon Counting Computed Tomography: Emerging Technological Innov..
10. Ehsan,Samei 美国 Duke University Quantitative performance of photon-counting CT at low dose: Virtual monochromatic imaging and iodine..
11. Charles G,Eberhart 美国 Johns Hopkins University Applications of chemical exchange saturation transfer magnetic resonance imaging in identifying gene..
12. Jinyuan,Zhou 美国 Johns Hopkins University Applications of chemical exchange saturation transfer magnetic resonance imaging in identifying gene..
13. Frederik,Barkhof 荷兰 Vrije Universiteit Amsterdam Advanced MR Techniques for Preoperative Glioma Characterization: Part 2
14. Koichi,Ohshima 日本 Kurume University Utility of non-contrast-enhanced magnetic resonance imaging in predicting preoperative clinical stag..
15. Debus, Juergen 德国 German Cancer Research Center (DKFZ) MR Intensity Normalization Methods Impact Sequence Specific Radiomics Prognostic Model Performance i..
16. Wolfgang,Wick 德国 German Cancer Research Center (DKFZ) Assessing the added value of apparent diffusion coefficient, cerebral blood volume, and radiomic mag..
17. Martin,Bendszus 德国 Heidelberg University Assessing the added value of apparent diffusion coefficient, cerebral blood volume, and radiomic mag..
18. Laterra, John 美国 Johns Hopkins University Radiomics analysis of amide proton transfer-weighted and structural MR images for treatment response..
19. Charles G,Eberhart 美国 Johns Hopkins University Radiomics analysis of amide proton transfer-weighted and structural MR images for treatment response..
20. Michael,Lim 美国 Stanford University Radiomics analysis of amide proton transfer-weighted and structural MR images for treatment response..