Citation Impact
1.792 - 2-year Impact Factor
2.168 - 5-year Impact Factor
0.939 - Source Normalized Impact per Paper (SNIP)
0.598 - SCImago Journal Rank (SJR)
Usage
254,402 Downloads
146 Altmetric mentions
Diller et al illustrate the utility of progressive generative adversarial networks for generating large amounts of realistically looking cardiac MRI images, including of rare cardiac conditions. The generated images are not subject to data anonymity and privacy concerns and can be shared freely between institutions.
The aim of this Study Protocol by Franco et al is to investigate the predictive value of MR-spectroscopy in order to establish a solid preoperative molecular stratification algorithm of glial brain tumours. This study may have the opportunity to support surgical and oncological decisions to improve personalized tumour treatment.
BMC Medical Imaging welcomes submissions to this new collection focusing on deepening the understanding of artificial intelligence in medical imaging, highlighting its versatility and applications, and breaking down barriers that still exist in the field.
Find more information and explore recent publications here.
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With the 30th January marking World Neglected Tropical Diseases (NTD) day, the BMC Series this month looks at highlighting research on the NTDs which threaten more than 1.7 billion people living in the poorest and most marginalized communities worldwide.
26 February 2021
15 February 2021
11 February 2021
Citation Impact
1.792 - 2-year Impact Factor
2.168 - 5-year Impact Factor
0.939 - Source Normalized Impact per Paper (SNIP)
0.598 - SCImago Journal Rank (SJR)
Usage
254,402 Downloads
146 Altmetric mentions