1. Moacir,Wajner 巴西 University of Federal Rio Grande do Sul In Vivo Intracerebral Administration of α-Ketoisocaproic Acid to Neonate Rats Disrupts Brain Redox ..
2. Jens H,Kuhn 美国 NIH National Institute of Allergy & Infectious Diseases (NIAID) Novel machine-learning analysis of SARS-CoV-2 infection in a subclinical nonhuman primate model usin..
3. 孔凤鸣 中国 香港大学 Comparing effectiveness of image perturbation and test retest imaging in improving radiomic model re..
4. Wood, Bradford J. 美国 Center Intervent oncology Radiol & Imaging Science Artificial Intelligence and Infectious Disease Imaging
5. Stefan O,Schoenberg 德国 University of Heidelberg Exploring the Synergistic Potential of Radiomics and Laboratory Biomarkers for Enhanced Identificati..
6. Konstantin,Nikolaou 德国 University of Tubingen Phantom-based radiomics feature test-retest stability analysis on photon-counting detector CT
7. Fabian,Bamberg 德国 University of Freiburg Phantom-based radiomics feature test-retest stability analysis on photon-counting detector CT
8. Stefan O,Schoenberg 德国 University of Heidelberg Phantom-based radiomics feature test-retest stability analysis on photon-counting detector CT
9. 张龙江 中国 东部战区总医院 A CT-Based Radiomics Model for Prediction of Prognosis in Patients with Novel Coronavirus Disease (C..
10. 卢光明 中国 东部战区总医院 A CT-Based Radiomics Model for Prediction of Prognosis in Patients with Novel Coronavirus Disease (C..
11. 陈俐娟 中国 四川大学 Analysis of CT signs, radiomic features and clinical characteristics for delta variant COVID-19 pati..
12. Stefan O,Schoenberg 德国 University of Heidelberg Evaluation of radiomics feature stability in abdominal monoenergetic photon counting CT reconstructi..
13. Habib,Zaidi 瑞士 University of Geneva Two-step machine learning to diagnose and predict involvement of lungs in COVID-19 and pneumonia usi..
14. David H,O'Connor 美国 University of WISCONSIN Toward the determination of sensitive and reliable whole-lung computed tomography features for robus..
15. Jens H,Kuhn 美国 NIH National Institute of Allergy & Infectious Diseases (NIAID) Toward the determination of sensitive and reliable whole-lung computed tomography features for robus..
16. Matthijs,Oudkerk 荷兰 University of Groningen Facilitating standardized COVID-19 suspicion prediction based on computed tomography radiomics in a ..
17. Moacir,Wajner 巴西 University of Federal Rio Grande do Sul Pathophysiology of maple syrup urine disease: Focus on the neurotoxic role of the accumulated branch..
18. Philippe,Lambin 荷兰 Maastricht University An externally validated fully automated deep learning algorithm to classify COVID-19 and other pneum..
19. David H,O'Connor 美国 University of WISCONSIN Determination of reliable whole-lung CT features for robust standard radiomics and delta-radiomics a..
20. Jens H,Kuhn 美国 NIH National Institute of Allergy & Infectious Diseases (NIAID) Determination of reliable whole-lung CT features for robust standard radiomics and delta-radiomics a..