1. Hylton，Nola，M. 美国 University of California, San Francisco 2022美国工程院院士 Predicting breast cancer response to neoadjuvant treatment using multi-feature MRI: results from the..
2. Hylton，Nola，M. 美国 University of California, San Francisco 2022美国工程院院士 Comparison of Segmentation Methods in Assessing Background Parenchymal Enhancement as a Biomarker fo..
3. Vincenzo,Valentini 意大利 University of Cattolica Sacro Cuore Association between contralateral background parenchymal enhancement on MRI and outcome in patients ..
4. Le Bihan, Denis 日本 National Institutes of Natural Sciences - National Institute for Physiological Sciences The diffusion MRI signature index is highly correlated with immunohistochemical status and molecular..
5. Sood, Anil K. 美国 University of Texas MD Anderson Cancer Center Expression of B7-H4 and IDO1 is associated with drug resistance and poor prognosis in high-grade ser..
6. Jinsong,Liu 美国 University of Texas MD Anderson Cancer Center Expression of B7-H4 and IDO1 is associated with drug resistance and poor prognosis in high-grade ser..
7. Constance D,Lehman 美国 Harvard University Predicting breast cancer response to neoadjuvant treatment using multi-feature MRI: results from the..
8. Savannah C,Partridge 美国 University of Washington Predicting breast cancer response to neoadjuvant treatment using multi-feature MRI: results from the..
9. Thomas L,Chenevert 美国 University of Michigan Predicting breast cancer response to neoadjuvant treatment using multi-feature MRI: results from the..
10. Laura J,Esserman 美国 University of California-San Francisco Predicting breast cancer response to neoadjuvant treatment using multi-feature MRI: results from the..
11. Terence C,Chua 澳大利亚 GRIFFITH University Case of proximal small bowel obstruction: is it the motility or the chewing?
12. Vincenzo,Valentini 意大利 University of Cattolica Sacro Cuore Association between background parenchymal enhancement and tumor response in patients with breast ca..
13. 冯继锋 中国 南京医科大学 B7-H4 and HHLA2, members of B7 family, are aberrantly expressed in EGFR mutated lung adenocarcinoma
14. Elizabeth A,Morris 美国 Memorial Sloan-Kettering Cancer Center MRI background parenchymal enhancement, fibroglandular tissue, and mammographic breast density in pa..
15. Kaori,Togashi 日本 Kyoto University Diffusion MRI of the breast: Current status and future directions
16. Savannah C,Partridge 美国 University of Washington Discrimination of Malignant and Benign Breast Lesions Using Quantitative Multiparametric MRI: A Prel..
17. Laura J,Esserman 美国 University of California-San Francisco Comparison of Segmentation Methods in Assessing Background Parenchymal Enhancement as a Biomarker fo..
18. Yamaue, Hiroki 日本 Wakayama Medical University Prognostic Analysis of Hepatocellular Carcinoma With Hepatitis C Virus Infection Using Epithelial-Me..
19. 张建祎 中国 大连海事大学 Breast Tumor Detection and Classification Using Intravoxel Incoherent Motion Hyperspectral Imaging T..
20. Thomas H,Helbich 奥地利 Medical University of Vienna Multiparametric MRI of the breast: A review