BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Veldhoen S, Oechsner M, Fischer A, Weng AM, Kunz AS, Bley TA, Köstler H, Ritter CO. Dynamic Contrast-Enhanced Magnetic Resonance Imaging for Quantitative Lung Perfusion Imaging Using the Dual-Bolus Approach: Comparison of 3 Contrast Agents and Recommendation of Feasible Doses. Investigative Radiology 2016;51:186-93. [DOI: 10.1097/rli.0000000000000224] [Cited by in Crossref: 7] [Cited by in F6Publishing: 2] [Article Influence: 1.2] [Reference Citation Analysis]
Number Citing Articles
1 Fan G, Ya Y, Ni X, Hou J, Yu R. Application Value of Magnetic Resonance Perfusion Imaging in the Early Diagnosis of Rat Hepatic Fibrosis. Biomed Res Int 2019;2019:5095934. [PMID: 31950040 DOI: 10.1155/2019/5095934] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
2 Yamamoto S, Hasebe T, Tomita K, Kamei S, Matsumoto T, Imai Y, Takahashi G, Kondo Y, Ito Y, Sakamaki F. Pulmonary perfusion by chest digital dynamic radiography: Comparison between breath-holding and deep-breathing acquisition. J Appl Clin Med Phys 2020;21:247-55. [PMID: 33104288 DOI: 10.1002/acm2.13071] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Weng AM, Heidenreich JF, Metz C, Veldhoen S, Bley TA, Wech T. Deep learning-based segmentation of the lung in MR-images acquired by a stack-of-spirals trajectory at ultra-short echo-times. BMC Med Imaging 2021;21:79. [PMID: 33964892 DOI: 10.1186/s12880-021-00608-1] [Reference Citation Analysis]